Edward Janus

10.4k citations
125 papers · 5.1k · h-index 38

Impact in

Papers in

Edward Janus

122 papers receiving 4.9k citations

Peers

Edward Janus
Comparison fields: 5 of 136
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Obstetrics and Gynecology 368
  • Pharmacy 137
  • Cardiology and Cardiovascular Medicine 571
  • Epidemiology 814
Replace Eugène Sobngwi with:
Eugène Sobngwi Cameroon
Rajendra Pradeepa India
Lakshmy Ramakrishnan India
Helen C. Looker United States
Kelly J. Hunt United States
Jie Mi China
Farhad Hosseinpanah Iran
Ranjit Unnikrishnan India
Justin B. Echouffo‐Tcheugui United States
Sarah Stark Casagrande United States
Edward Janus relative to Eugène Sobngwi Cameroon Eugène Sobngwi's profile →
Citations per field
00.5×1.5×1.9×
Eugène Sobngwi · 1×
Citations per year

Countries citing papers authored by Edward Janus

Since Specialization
Citations

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

Fields of papers citing papers by Edward Janus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Edward Janus, 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 Edward Janus Line = papers co-authored together Edward Janus links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007284
2 2008254
3 2007245
4 2003230
5 2007224
6 2007193
7 2008189
8 2004149
9 2016112
10 2000107
11 2000106
12 1991102
13 200498
14 200791
15 201687
16 199686
17 201077
18 200376
19 200671
20 199966

About Edward Janus

Edward Janus is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Obstetrics and Gynecology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 125 papers that have together received 5.1k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (34 papers), Gestational Diabetes Research and Management (11 papers), Lipoproteins and Cardiovascular Health (11 papers), Health disparities and outcomes (6 papers), Obesity and Health Practices (6 papers), Blood properties and coagulation (6 papers), Chronic Kidney Disease and Diabetes (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Obstetrics and Gynecology (368 citations), Pharmacy (137 citations), Cardiology and Cardiovascular Medicine (571 citations) and Epidemiology (814 citations). Edward Janus has collaborated with scholars based in Australia, Hong Kong and China. Frequent co-authors include Karen S.L. Lam, Nelson M.S. Wat, Sai Yin Ho, Bernard M.Y. Cheung, James Dunbar, Annette W.K. Tso, Carol Ho-Yan Fong, Aimin Xu, James D. Best and TH Lam. Their work appears in journals such as Atherosclerosis, BMC Public Health, Diabetes Care, PLoS ONE and Diabetologia.

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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