Steven Lieberman

2.3k citations
34 papers · 1.8k · h-index 15

Impact in

Papers in

Steven Lieberman

33 papers receiving 1.7k citations

Peers

Steven Lieberman
Comparison fields: 5 of 109
  • Family Practice 87
  • Endocrinology, Diabetes and Metabolism 569
  • Cell Biology 247
  • Public Health, Environmental and Occupational Health 331
  • Rehabilitation 64
Replace Janet M. Grubber with:
Janet M. Grubber United States
Henk van Mameren Netherlands
Hisako Yanagi Japan
Anne L. Coleman United States
Kathleen E. Bainbridge United States
Roger Kerry United Kingdom
François Lüthi Switzerland
Josef Bednařík Czechia
Jens Steen Nielsen Denmark
Daniel R. Richardson United States
Steven Lieberman relative to Janet M. Grubber United States Janet M. Grubber's profile →
Citations per field
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Janet M. Grubber · 1×
Citations per year

Countries citing papers authored by Steven Lieberman

Since Specialization
Citations

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

Fields of papers citing papers by Steven Lieberman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002423
2 2001280
3 2016249
4 1998219
5 2017115
6 199469
7 200769
8 201964
9 199260
10 200026
11 199424
12 199723
13 201022
14 199218
15 200315
16 201014
17 198513
18 200412
19 200111
20 200810

About Steven Lieberman

Steven Lieberman is a scholar working on Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism, General Health Professions, Family Practice and Education, having authored 34 papers that have together received 1.8k indexed citations. Recurring topics across this work include Innovations in Medical Education (9 papers), Clinical Reasoning and Diagnostic Skills (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Pituitary Gland Disorders and Treatments (4 papers), Diet and metabolism studies (2 papers), Hormonal and reproductive studies (2 papers), Primary Care and Health Outcomes (2 papers) and Bone Tumor Diagnosis and Treatments (2 papers). The work is most often cited by research in Family Practice (87 citations), Endocrinology, Diabetes and Metabolism (569 citations), Cell Biology (247 citations), Public Health, Environmental and Occupational Health (331 citations) and Rehabilitation (64 citations). Steven Lieberman has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Randall J. Urban, Charles R. Gilkison, Brent E. Masel, Andrew R. Hoffman, Arny A. Ferrando, Jie Jiang, Catherine W. Yeckel, Melinda Sheffield‐Moore, Kevin D. Tipton and Robert R. Wolfe. Their work appears in journals such as Academic Medicine, Endocrinology and Metabolism Clinics of North America, The FASEB Journal, Medical Education and Optometry and Vision Science.

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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