2019; Blauwendraat et al., 2020; Gonz ez-Guevara et al., 2020; McFarlane and Kdziora-Kornatowska, 2020; S ze Vazquez et al., 2020; Dai et al., 2021; Duong et al., 2021; Feringa and van der Kant, 2021; Garc -Sanz et al., 2021; Pikuleva and Cartier, 2021; Samant and Gupta, 2021). This article shows the workforce driving study inside the field using original investigation articles obtained from MEDLINE (Table 1) along with a new bibliometric approach (Pfrieger, 2021; github/ fw-pfrieger/TeamTree). Bibliometric analyses of other elements is usually located elsewhere (Guido et al., 2015; Barboza and Ghisi, 2018; Zhang et al., 2020; Du et al., 2021; Li et al., 2021; Rizzi et al., 2021). Articles related to Niemann-Pick kind C disease have been excluded from the analysis as this uncommon lysosomal Kinesin-14 Molecular Weight storage disorder is directly linked to perturbed cholesterol transport (Loftus et al., 1997; Naureckiene et al., 2000; Vanier, 2010).FIGURE 3 | Genealogic relations inside the field. (A) TeamTree graph displaying genealogic relations amongst authors. Circles and gray lines indicate ancestor-offspring connections depending on 1st author-last author pairs on report bylines. Connections of authors using the 10 largest offspring count (OC) values are shown in color (names indicated in panel G). Circle area indicates OC value. The indicators of author indices of offspring and of ancestors have been adjusted for the CXCR1 manufacturer first-generation ancestor. (B ) Quantitative information showing for individual last authors, the amount of offspring (B) the amount of articles published with each other with offspring (PCoff; circle location indicates typical Computer per year) (C), the generation of authors (AG) beginning with AG = 1 for first ancestors (D) as well as the household size (FS) of person first-generation ancestors comprising all offspring across subsequent generations (E). (F,G) Family trees (F) and names (G) of authors with ten largest OC values (indicated by circle area).Improvement In the WORKFORCE CONTRIBUTING For the FIELDThe earliest publications date back towards the 1950s when 3 groups investigated the cholesterol content in tissues and physique fluids of sufferers with dementia (Mori and Barucci, 1951;Frontiers in Aging Neuroscience | frontiersin.orgNovember 2021 | Volume 13 | ArticlePfriegerWorkforce Studying Neurodegeneration and CholesterolFIGURE four | Collaborative connections inside the field. (A) TeamTree graph displaying collaborations in between final authors (out; negative author index) and (non-first) co-authors (in; positive author index) on article bylines. For out- and in-degree connections an author lists other authors as co-authors and an author is listed as a co-author, respectively. Connections of authors with 10 highest connection count (CC) values (in+out) are shown in colour (names indicated in panel E). Circle regions indicate CCout and CCin values of these authors. (B,C) Left, counts of collaborators (B) and of collaborative articles (C) per author. Circle area indicates PCannu. Correct, relative frequency distributions of parameters shown around the left. (D,E) Network (D) and names (E) of authors with ten largest CC values. Symbol areas (D) indicate CC values normalized for the maximum. Circles and rectangles represent family and non-family authors, respectively.FIGURE 5 | Author ranking according to the TeamTree product. (A) Graph displaying the TeamTree product (TTP) of individual final authors in the field represented by their author indices. This new metric requires into account publication records, offspring instruction and mentorship, and collabora
