Joel P. Berger

15.6k citations
93 papers · 11.8k indexed · 5 hit papers · h-index 46
Topics
Peroxisome Proliferator-Activated Receptors (61 papers)Adipose Tissue and Metabolism (44 papers)Metabolism, Diabetes, and Cancer (28 papers)
Partner nations
United StatesCanadaJapan

In The Last Decade

Joel P. Berger

93 papers receiving 11.5k citations

Hit Papers

The Mechanisms of Action of PPARs20022026201020182002200420062004200550010001.5k2.0k

Peers

Joel P. Berger
Comparison fields: 5 of 135
  • Molecular Biology 7.5k
  • Physiology 3.8k
  • Epidemiology 2.6k
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Biochemistry 1.1k
Replace Barry M. Forman with:
Barry M. Forman United States
Makoto Makishima Japan
Rolf K. Berge Norway
Manuel Vázquez‐Carrera Spain
Folkert Kuipers Netherlands
David Bernlohr United States
David Y. Hui United States
Thomas W. Doebber United States
Nada A. Abumrad United States
Cem Z. Görgün United States
Joel P. Berger relative to Barry M. Forman United States Barry M. Forman's profile →
Citations per field
00.5×1.5×
Barry M. Forman · 1×
Citations per year

Countries citing papers authored by Joel P. Berger

Since Specialization
Citations

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

Fields of papers citing papers by Joel P. Berger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joel P. Berger. 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 Joel P. Berger. The network helps show where Joel P. Berger may publish in the future.

Co-authorship network of co-authors of Joel P. Berger

This figure shows the co-authorship network connecting the top 25 collaborators of Joel P. Berger. A scholar is included among the top collaborators of Joel P. Berger 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 Joel P. Berger. Joel P. Berger 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 67
2 25
3 13
4 122
5 28
6 15
7 22
8 245
9 56
10 15
11 46
12
Integrated Genomic and Proteomic Analyses of Gene Expression in Mammalian Cellsbreakdown →
647
13 40
14 26
15 18
16 52
17 170
18 134
19 92
20 12

About Joel P. Berger

Joel P. Berger is a scholar working on Biochemistry, Physiology and Molecular Biology, having authored 93 papers that have together received 11.8k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (61 papers), Adipose Tissue and Metabolism (44 papers) and Metabolism, Diabetes, and Cancer (28 papers). The work is most often cited by research in Biochemistry (1.1k citations), Physiology (3.8k citations) and Molecular Biology (7.5k citations). Joel P. Berger has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include David E. Moller, Taro E. Akiyama, Peter T. Meinke, Alex Elbrecht, Philipp E. Scherer, John A. Wagner, Karen L. MacNaul, Tom Doebber, Michael W. Rajala and Margaret Wu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

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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