Dora M. Berman

5.5k citations
69 papers · 4.1k indexed · 1 hit paper · h-index 33

Impact in

Papers in

Dora M. Berman

68 papers receiving 4.0k citations

Hit Papers

The unique cytoarchitecture of human pancreatic islets has implications for islet cell function 2006 · 938 citations
9382006202620122019250500750

Peers

Dora M. Berman
Comparison fields: 5 of 128
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Surgery 2.1k
  • Genetics 1.2k
  • Endocrine and Autonomic Systems 278
  • Physiology 1.1k
Replace Sonia M. Najjar with:
Sonia M. Najjar United States
Helga Ellingsgaard Denmark
Katharina Timper Switzerland
Hiroki Mizukami Japan
Noni L. Bodkin United States
Thorkil Ploug Denmark
Paul E. Squires United Kingdom
Rolf Luft Sweden
Benoit R. Gauthier Spain
Claes Hellerström Sweden
Dora M. Berman relative to Sonia M. Najjar United States Sonia M. Najjar's profile →
Citations per field
00.5×1.5×2.5×
Sonia M. Najjar · 1×
Citations per year

Countries citing papers authored by Dora M. Berman

Since Specialization
Citations

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

Fields of papers citing papers by Dora M. Berman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202326
2 202218
3 201924
4 201912
5 2018144
6 20143
7 201173
8 2008170
9 20072
10 200644
11 2004186
12 200220
13 200253
14 200031
15 200025
16 199938
17 199840
18 19932
19 199253
20 19896

About Dora M. Berman

Dora M. Berman is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Pharmacology, Surgery and Genetics, having authored 69 papers that have together received 4.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (26 papers), Diabetes and associated disorders (16 papers), Diabetes Management and Research (13 papers), Adipose Tissue and Metabolism (13 papers), Neurobiology and Insect Physiology Research (7 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Cannabis and Cannabinoid Research (7 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Surgery (2.1k citations), Genetics (1.2k citations), Endocrine and Autonomic Systems (278 citations) and Physiology (1.1k citations). Dora M. Berman has collaborated with scholars based in United States, Argentina and Sweden. Frequent co-authors include Barbara J. Nicklas, Alice S. Ryan, Norma S. Kenyon, Camillo Ricordi, Per‐Olof Berggren, Over Cabrera, Alejandro Caicedo, Karen E. Dennis, Nicole Lynch and Dariush Elahi. Their work appears in journals such as Diabetes, Cell Transplantation, Diabetes Care, Metabolism and The Journal of Clinical Endocrinology & Metabolism.

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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