Mones Berman

4.5k citations
48 papers · 3.6k · 1 hit paper · h-index 29

Impact in

Papers in

Mones Berman

48 papers receiving 3.1k citations

Mones Berman's Hit Papers

A Model of the Kinetics of Insulin in Man 1974 · 386 citations
3860+17+34Years since publication100200300

Peers

Mones Berman
Comparison fields: 5 of 155
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Physiology 732
  • Biochemistry 200
  • Surgery 905
  • Clinical Biochemistry 135
Replace M. Berman with:
M. Berman United States
David M. Foster United States
William A. Bradley United States
N. Moatti France
David M. Capuzzi United States
R. Paoletti Italy
Norbert Katz Germany
Y. Antero Kesäniemi Finland
Meng H. Tan United States
Paul S. Roheim United States
Mones Berman relative to M. Berman United States M. Berman's profile →
Citations per field
00.5×3.0×
M. Berman · 1×
Citations per year

Countries citing papers authored by Mones Berman

Since Specialization
Citations

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

Fields of papers citing papers by Mones Berman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Model of the Kinetics of Insulin in Man
Hit paper breakdown →
1974386
2 1977323
3 1962293
4 1979238
5 1956208
6 1975196
7 1978187
8 1970161
9 1962143
10 1963106
11 1969101
12 1969100
13 196388
14 196873
15 197964
16 197463
17 197963
18 198258
19 198256
20 196256

About Mones Berman

Mones Berman is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Cancer Research and Physiology, having authored 48 papers that have together received 3.6k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Cancer, Lipids, and Metabolism (6 papers), Lipoproteins and Cardiovascular Health (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Diabetes Management and Research (3 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.3k citations), Physiology (732 citations), Biochemistry (200 citations), Surgery (905 citations) and Clinical Biochemistry (135 citations). Mones Berman has collaborated with scholars based in United States, Poland and Malaysia. Frequent co-authors include Daniel Steinberg, Robert L. Schoenfeld, Jordan D. Tobin, Reubin Andres, J E Liljenquist, Paul A. Insel, Robert S. Sherwin, Robert I. Levy, Stanton Segal and Robert H. Goebel. Their work appears in journals such as Journal of Clinical Investigation, Endocrinology, Diabetes, The Journal of Clinical Endocrinology & Metabolism and Biophysical 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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