Steven Lieberman

2.3k citations
34 papers · 1.8k indexed · h-index 15
Topics
Innovations in Medical Education (12 papers)Clinical Reasoning and Diagnostic Skills (6 papers)Pituitary Gland Disorders and Treatments (4 papers)

In The Last Decade

Steven Lieberman

33 papers receiving 1.7k citations

Peers

Steven Lieberman
Comparison fields: 5 of 119
  • Endocrinology, Diabetes and Metabolism 612
  • Public Health, Environmental and Occupational Health 450
  • Physiology 331
  • Cell Biology 318
  • Molecular Biology 280
Replace Hitomi Kataoka with:
Hitomi Kataoka Japan
Janet M. Grubber United States
Hisako Yanagi Japan
Peter Weinstock United States
Leslie Plotnick United States
H. Arthur Quinney Canada
François Lüthi Switzerland
Irene Cantarero‐Villanueva Spain
Kathleen E. Bainbridge United States
Josef Bednařík Czechia
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Citations per field
00.5×12.2×
Hitomi Kataoka · 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-authorship network of co-authors of Steven Lieberman

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Lieberman. A scholar is included among the top collaborators of Steven Lieberman 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 Steven Lieberman. Steven Lieberman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 2
3 113
4 22
5 13
6 1
7 10
8 12
9 15
10 2
11 8
12 11
13 281
14 24
15
Functional consequences of the somatopause and its treatment
0
16
Resistance exercise prevents sarcopenia during bed rest unloading
1
17 69
18 18
19 13
20
The prevalence of visual disorders in a school for emotionally disturbed children.
1

About Steven Lieberman

Steven Lieberman is a scholar working on Family Practice, Health Informatics and Neuropsychology and Physiological Psychology, having authored 34 papers that have together received 1.8k indexed citations. Recurring topics across this work include Innovations in Medical Education (12 papers), Clinical Reasoning and Diagnostic Skills (6 papers) and Pituitary Gland Disorders and Treatments (4 papers). The work is most often cited by research in Family Practice (184 citations), Endocrinology, Diabetes and Metabolism (612 citations) and Cell Biology (318 citations). Steven Lieberman has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Randall J. Urban, Charles R. Gilkison, Brent E. Masel, Andrew R. Hoffman, Catherine W. Yeckel, Kevin D. Tipton, Robert R. Wolfe, Jie Jiang, Melinda Sheffield‐Moore and Arny A. Ferrando. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and The FASEB Journal.

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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