Judd Berman

44 papers receiving 1.4k citations

Peers

Judd Berman
Comparison fields: 5 of 106
  • Molecular Medicine 79
  • Oncology 363
  • Molecular Biology 906
  • Cancer Research 160
  • Immunology and Allergy 63
Replace Walter H.J. Ward with:
Walter H.J. Ward United Kingdom
Dalia R. Jakas United States
Hollis D. Showalter United States
P. Ann Boriack‐Sjodin United States
Joseph P. Lyssikatos United States
Joseph S. Warmus United States
Peter J. Belshaw United States
John E. Kerrigan United States
Mahendra D. Chordia United States
John W. Cuozzo United States
Judd Berman relative to Walter H.J. Ward United Kingdom Walter H.J. Ward's profile →
Citations per field
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Walter H.J. Ward · 1×
Citations per year

Countries citing papers authored by Judd Berman

Since Specialization
Citations

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

Fields of papers citing papers by Judd Berman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994250
2 1997116
3 2012104
4 1993103
5 199094
6 199693
7 199892
8 199284
9 201853
10 199450
11 199248
12 198145
13 201140
14 199936
15 198434
16 199131
17 201330
18 198329
19 199828
20 200927

About Judd Berman

Judd Berman is a scholar working on Molecular Biology, Oncology, Cancer Research, Cellular and Molecular Neuroscience and Molecular Medicine, having authored 44 papers that have together received 1.6k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (15 papers), Peptidase Inhibition and Analysis (9 papers), Receptor Mechanisms and Signaling (8 papers), Protease and Inhibitor Mechanisms (6 papers), Neuropeptides and Animal Physiology (6 papers), Analytical Chemistry and Chromatography (3 papers), RNA and protein synthesis mechanisms (3 papers) and Heart Failure Treatment and Management (3 papers). The work is most often cited by research in Molecular Medicine (79 citations), Oncology (363 citations), Molecular Biology (906 citations), Cancer Research (160 citations) and Immunology and Allergy (63 citations). Judd Berman has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Michael Stuart Green, Michael H. Tarbit, Jeffrey S. Wiseman, Tona M. Gilmer, Renae M. Crosby, Murray Goodman, D. Mark Bickett, Mariano Rodríguez, Michael Luther and Deirdre K. Luttrell. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Analytical Biochemistry, Biochemical and Biophysical Research Communications and Journal of Biological Chemistry.

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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