Jane Harman

32 total papers · 845 total citations
21 papers, 665 citations indexed

About

Jane Harman is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Nephrology. According to data from OpenAlex, Jane Harman has authored 21 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Nephrology. Recurrent topics in Jane Harman's work include Blood Pressure and Hypertension Studies (3 papers), Health disparities and outcomes (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). Jane Harman is often cited by papers focused on Blood Pressure and Hypertension Studies (3 papers), Health disparities and outcomes (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). Jane Harman collaborates with scholars based in United States, Laos and Denmark. Jane Harman's co-authors include Herman A. Taylor, Sharon B. Wyatt, Steven Shea, Yrjö T. Gröhn, Aaron R. Folsom, Ana V. Diez Roux, Pamela L. Lutsey, Gregory L. Burke, David R. Jacobs and Christopher J. Silva and has published in prestigious journals such as American Journal of Clinical Nutrition, American Journal of Public Health and Journal of the American Society of Nephrology.

In The Last Decade

Jane Harman

20 papers receiving 635 citations

Author Peers

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

Author Last Decade Papers Cites
Jane Harman 155 135 123 98 85 21 665
Eralda Asllanaj 96 0.6× 98 0.7× 142 1.2× 63 0.6× 183 2.2× 21 746
S Ramakrishnan 53 0.3× 111 0.8× 65 0.5× 46 0.5× 25 0.3× 30 669
Liling Chen 62 0.4× 72 0.5× 40 0.3× 40 0.4× 54 0.6× 63 646
Alessandra da Silva 148 1.0× 64 0.5× 130 1.1× 76 0.8× 187 2.2× 42 626
Eliza Whiteside 24 0.2× 70 0.5× 83 0.7× 152 1.6× 99 1.2× 34 706
Hye-Jin Kim 222 1.4× 42 0.3× 50 0.4× 131 1.3× 162 1.9× 40 761
Wen Zhao 68 0.4× 83 0.6× 184 1.5× 174 1.8× 83 1.0× 52 706
Ruby Miller 57 0.4× 53 0.4× 125 1.0× 215 2.2× 100 1.2× 10 665
Shanshan Yao 61 0.4× 42 0.3× 73 0.6× 79 0.8× 27 0.3× 47 682
Se Eun Park 33 0.2× 200 1.5× 71 0.6× 32 0.3× 50 0.6× 45 790

Countries citing papers authored by Jane Harman

Since Specialization
Citations

This map shows the geographic impact of Jane Harman'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 Harman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Harman more than expected).

Fields of papers citing papers by Jane Harman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane Harman. 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 Harman. The network helps show where Jane Harman may publish in the future.

Co-authorship network of co-authors of Jane Harman

This figure shows the co-authorship network connecting the top 25 collaborators of Jane Harman. A scholar is included among the top collaborators of Jane Harman 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 Harman. Jane Harman 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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