Robert I. Tepper

9.2k citations
18 papers · 7.6k indexed · 3 hit papers · h-index 17

Impact in

Papers in

Robert I. Tepper

18 papers receiving 7.3k citations

Hit Papers

Evidence That the Diabetes Gene Encodes the Leptin Receptor: Identification of a Mutation in the Leptin Receptor Gene in db/db Mice 1996 · 1.8k citations
1.8k198920262001201350010001.5k2.0k2.5k

Peers

Robert I. Tepper
Comparison fields: 5 of 127
  • Endocrine and Autonomic Systems 3.5k
  • Nutrition and Dietetics 2.2k
  • Physiology 2.1k
  • Immunology 1.5k
  • Epidemiology 1.9k
Replace Thomas C. Boone with:
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Robert I. Tepper relative to Thomas C. Boone United States Thomas C. Boone's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Robert I. Tepper

Since Specialization
Citations

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

Fields of papers citing papers by Robert I. Tepper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert I. Tepper. 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 Robert I. Tepper. The network helps show where Robert I. Tepper may publish in the future.

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 2015128
2 1998206
3 199764
4 1997244
5
Evidence That the Diabetes Gene Encodes the Leptin Receptor: Identification of a Mutation in the Leptin Receptor Gene in db/db Mice
Hit paper breakdown →
19961814
6 19954
7
Identification and expression cloning of a leptin receptor, OB-R
Hit paper breakdown →
19952845
8 199553
9 199556
10 1994126
11 1994209
12 199419
13 1992458
14 1991267
15 1990349
16
Murine interleukin-4 displays potent anti-tumor activity in vivo
Hit paper breakdown →
1989665
17 198321
18 197829

About Robert I. Tepper

Robert I. Tepper is a scholar working on Immunology, Immunology and Allergy, Endocrine and Autonomic Systems, Cancer Research and Oncology, having authored 18 papers that have together received 7.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), Immune Cell Function and Interaction (4 papers), RNA Interference and Gene Delivery (3 papers), Immunotherapy and Immune Responses (3 papers), CAR-T cell therapy research (2 papers), Regulation of Appetite and Obesity (2 papers), Protease and Inhibitor Mechanisms (2 papers) and Biochemical Analysis and Sensing Techniques (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (3.5k citations), Nutrition and Dietetics (2.2k citations), Physiology (2.1k citations), Immunology (1.5k citations) and Epidemiology (1.9k citations). Robert I. Tepper has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Philip Leder, Xun Weng, Janice Culpepper, Louis A. Tartaglia, Paul K. Pattengale, Robert L. Coffman, Grayson Richards, A Moriarty, Karen J. Moore and John S. Smutko. Their work appears in journals such as Cell, Human Gene Therapy, Science, Science Translational Medicine and Nature Genetics.

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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