Ami Laws

1.7k citations
22 papers · 1.4k · h-index 17

Impact in

Papers in

Ami Laws

22 papers receiving 1.3k citations

Peers

Ami Laws
Comparison fields: 5 of 100
  • Endocrinology, Diabetes and Metabolism 576
  • Physiology 285
  • Endocrine and Autonomic Systems 56
  • Epidemiology 201
  • Cardiology and Cardiovascular Medicine 129
Replace Elizabeth B. Rappaport with:
Elizabeth B. Rappaport United States
Fernando Gerchman Brazil
Chia-Ing Li Taiwan
Pirjo Härkönen Finland
Daniel Kopf Germany
Sabine Schipf Germany
Bernard Zinman Canada
Yoko Yachi Japan
Chii Jeng Taiwan
Leena Moilanen Finland
Ami Laws relative to Elizabeth B. Rappaport United States Elizabeth B. Rappaport's profile →
Citations per field
00.5×1.6×
Elizabeth B. Rappaport · 1×
Citations per year

Countries citing papers authored by Ami Laws

Since Specialization
Citations

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

Fields of papers citing papers by Ami Laws

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994336
2 1993197
3 1995125
4 1989112
5 199584
6 199376
7 199875
8 199570
9 199867
10 199954
11 199349
12 199334
13 199328
14 199927
15 199924
16 199622
17 199016
18 199313
19 199111
20 19998

About Ami Laws

Ami Laws is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Clinical Psychology, Molecular Biology and General Health Professions, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Diet, Metabolism, and Disease (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Diabetes Management and Research (2 papers), Child Abuse and Trauma (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Diet and metabolism studies (1 paper) and Fatty Acid Research and Health (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (576 citations), Physiology (285 citations), Endocrine and Autonomic Systems (56 citations), Epidemiology (201 citations) and Cardiology and Cardiovascular Medicine (129 citations). Ami Laws has collaborated with scholars based in United States. Frequent co-authors include Gerald M. Reaven, Peter J. Savage, Russell Sands, Larry W. Thompson, Randy L. Anderson, Mohammed Saad, Richard N. Bergman, Gerald M. Reaven, Marcia L. Stefanick and Richard M. Watanabe. Their work appears in journals such as Metabolism, Journal of the American Geriatrics Society, Journal of General Internal Medicine, Annals of Epidemiology and Circulation.

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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