Pathmaja Paramsothy

1.6k citations
23 papers · 985 · h-index 13

Impact in

Papers in

Pathmaja Paramsothy

23 papers receiving 960 citations

Peers

Pathmaja Paramsothy
Comparison fields: 5 of 95
  • Obstetrics and Gynecology 244
  • Endocrinology, Diabetes and Metabolism 304
  • Cardiology and Cardiovascular Medicine 200
  • Physiology 196
  • Surgery 253
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Beata Telejko Poland
R.S. Elkeles United Kingdom
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Citations per year

Countries citing papers authored by Pathmaja Paramsothy

Since Specialization
Citations

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

Fields of papers citing papers by Pathmaja Paramsothy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pathmaja Paramsothy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pathmaja Paramsothy Line = papers co-authored together Pathmaja Paramsothy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008275
2 2005250
3 2005119
4 201060
5 200653
6 201130
7 201429
8 200928
9 200926
10 200819
11 200919
12 200916
13 200914
14 199810
15 20059
16 20125
17 20065
18 20065
19 20064
20 20204

About Pathmaja Paramsothy

Pathmaja Paramsothy is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Epidemiology and Cancer Research, having authored 23 papers that have together received 985 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Lipoproteins and Cardiovascular Health (12 papers), Cancer, Lipids, and Metabolism (5 papers), Cardiovascular Health and Disease Prevention (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Fatty Acid Research and Health (3 papers), Gestational Diabetes Research and Management (3 papers) and Cardiac Imaging and Diagnostics (2 papers). The work is most often cited by research in Obstetrics and Gynecology (244 citations), Endocrinology, Diabetes and Metabolism (304 citations), Cardiology and Cardiovascular Medicine (200 citations), Physiology (196 citations) and Surgery (253 citations). Pathmaja Paramsothy has collaborated with scholars based in United States and China. Frequent co-authors include Robert H. Knopp, Alice Dowdy, Brian Fish, Barbara M. Retzlaff, Byron Gallis, Marshall A. Corson, Julie Rice, Cecilia M. Giachelli, Francis Kim and Elaine W. Raines. Their work appears in journals such as Journal of clinical lipidology, The American Journal of Cardiology, Arteriosclerosis Thrombosis and Vascular Biology, Current Atherosclerosis Reports and Journal of the American College of Cardiology.

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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