Ira G. Schulman

6.5k citations
49 papers · 5.1k indexed · 2 hit papers · h-index 31
Topics
Cholesterol and Lipid Metabolism (20 papers)Peroxisome Proliferator-Activated Receptors (19 papers)Retinoids in leukemia and cellular processes (10 papers)
Partner nations
United StatesJapanSweden

In The Last Decade

Ira G. Schulman

49 papers receiving 5.0k citations

Hit Papers

Role of CBP/P300 in nuclear receptor signalling199620262006201619962004250500750

Peers

Ira G. Schulman
Comparison fields: 5 of 117
  • Molecular Biology 3.2k
  • Surgery 1.4k
  • Genetics 1.1k
  • Oncology 1.0k
  • Immunology 729
Replace Frances M. Sladek with:
Frances M. Sladek United States
Stefan Westin United States
Hueng-Sik Choi South Korea
Patrice Denèfle France
Sotirios K. Karathanasis United States
Knut R. Steffensen Sweden
Hong-Wu Chen United States
Valentina Perissi United States
Donald K. Scott United States
Vittorio Colantuoni Italy
Ira G. Schulman relative to Frances M. Sladek United States Frances M. Sladek's profile →
Citations per field
00.5×1.5×2.3×
Frances M. Sladek · 1×
Citations per year

Countries citing papers authored by Ira G. Schulman

Since Specialization
Citations

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

Fields of papers citing papers by Ira G. Schulman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ira G. Schulman. 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 Ira G. Schulman. The network helps show where Ira G. Schulman may publish in the future.

Co-authorship network of co-authors of Ira G. Schulman

This figure shows the co-authorship network connecting the top 25 collaborators of Ira G. Schulman. A scholar is included among the top collaborators of Ira G. Schulman 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 Ira G. Schulman. Ira G. Schulman 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 7
2 33
3 22
4 167
5 27
6 78
7 3
8 2
9 141
10
Errα and Gabpa/b specify PGC-1α-dependent oxidative phosphorylation gene expression that is altered in diabetic musclebreakdown →
572
11 80
12 57
13 146
14 89
15 19
16 134
17 117
18 6
19 45
20 21

About Ira G. Schulman

Ira G. Schulman is a scholar working on Molecular Biology, Cancer Research and Surgery, having authored 49 papers that have together received 5.1k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (20 papers), Peroxisome Proliferator-Activated Receptors (19 papers) and Retinoids in leukemia and cellular processes (10 papers). The work is most often cited by research in Molecular Biology (3.2k citations), Genetics (1.1k citations) and Cancer Research (583 citations). Ira G. Schulman has collaborated with scholars based in United States, Japan and Sweden. Frequent co-authors include Richard A. Heyman, Ronald M. Evans, Henry Juguilon, Eric D. Bischoff, Debabrata Chakravarti, Norbert Leitinger, Marc Montminy, Michael C. Nelson, Vickie J. LaMorte and Toshihiro Nakajima. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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