Jane K. Stock

74 total papers · 8.2k total citations
40 papers, 423 citations indexed

About

Jane K. Stock is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Economics and Econometrics. According to data from OpenAlex, Jane K. Stock has authored 40 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Surgery, 13 papers in Endocrinology, Diabetes and Metabolism and 10 papers in Economics and Econometrics. Recurrent topics in Jane K. Stock's work include Lipoproteins and Cardiovascular Health (29 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers) and Cancer, Lipids, and Metabolism (10 papers). Jane K. Stock is often cited by papers focused on Lipoproteins and Cardiovascular Health (29 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers) and Cancer, Lipids, and Metabolism (10 papers). Jane K. Stock collaborates with scholars based in United States, France and United Kingdom. Jane K. Stock's co-authors include M. John Chapman, Henry N. Ginsberg, Lâle Tokgözoğlu, Sandra M. Dumanski, Anne Tybjærg‐Hansen, Connie N. Hess, Kirsten B. Holven, Lina Badimón, Esther Lutgens and Marianne Benn and has published in prestigious journals such as European Heart Journal, Atherosclerosis and Current Opinion in Lipidology.

In The Last Decade

Jane K. Stock

40 papers receiving 409 citations

Hit Papers

Women, lipids, and athero... 2023 2026 2024 2023 25 50 75

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jane K. Stock 256 94 88 86 63 40 423
Julius L. Katzmann 218 0.9× 68 0.7× 89 1.0× 86 1.0× 75 1.2× 31 388
Marjet J.A.M. Braamskamp 329 1.3× 43 0.5× 85 1.0× 145 1.7× 32 0.5× 23 449
Christopher J. Duff 182 0.7× 35 0.4× 81 0.9× 146 1.7× 48 0.8× 43 470
Wei‐Kung Tseng 214 0.8× 29 0.3× 175 2.0× 77 0.9× 60 1.0× 41 432
Jacek Jerzy Jozwiak 216 0.8× 80 0.9× 192 2.2× 125 1.5× 26 0.4× 53 492
Charlotte Jones-Burton 184 0.7× 93 1.0× 108 1.2× 64 0.7× 15 0.2× 22 480
Zhan Ye 205 0.8× 33 0.4× 49 0.6× 167 1.9× 90 1.4× 29 454
A. Rovellini 173 0.7× 45 0.5× 57 0.6× 114 1.3× 35 0.6× 32 371
Krzysztof Dyrbuś 286 1.1× 81 0.9× 221 2.5× 59 0.7× 40 0.6× 21 472
Chee Jeong Kim 176 0.7× 31 0.3× 124 1.4× 146 1.7× 35 0.6× 49 378

Countries citing papers authored by Jane K. Stock

Since Specialization
Citations

This map shows the geographic impact of Jane K. Stock's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jane K. Stock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane K. Stock more than expected).

Fields of papers citing papers by Jane K. Stock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane K. Stock. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jane K. Stock. The network helps show where Jane K. Stock may publish in the future.

Co-authorship network of co-authors of Jane K. Stock

This figure shows the co-authorship network connecting the top 25 collaborators of Jane K. Stock. A scholar is included among the top collaborators of Jane K. Stock based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jane K. Stock. Jane K. Stock is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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