Eric M. Jacobson

2.2k citations
23 papers · 1.9k · h-index 17

Impact in

Papers in

Eric M. Jacobson

23 papers receiving 1.8k citations

Peers

Eric M. Jacobson
Comparison fields: 5 of 92
  • Endocrinology, Diabetes and Metabolism 655
  • Genetics 673
  • Immunology 444
  • Pathology and Forensic Medicine 160
  • Gastroenterology 47
Replace Myra A. Lipes with:
Myra A. Lipes United States
Jakub Abramson Israel
Susanne N. Weber Germany
Gildas Rigaud Italy
Colette Roche France
Nigel Sharfe Canada
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Rive Sarfstein Israel
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Citations per field
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Citations per year

Countries citing papers authored by Eric M. Jacobson

Since Specialization
Citations

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

Fields of papers citing papers by Eric M. Jacobson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000216
2 2008214
3 2005176
4 2008174
5 2007163
6 2003128
7 2007123
8 2007119
9 2007116
10 2002111
11 200884
12 201161
13 201032
14
Prolactin in breast and prostate cancer: molecular and genetic perspectives.
201130
15 200928
16 201527
17 201022
18 201116
19 202113
20 199611

About Eric M. Jacobson

Eric M. Jacobson is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Immunology, Molecular Biology and Oncology, having authored 23 papers that have together received 1.9k indexed citations. Recurring topics across this work include Diabetes and associated disorders (10 papers), T-cell and B-cell Immunology (8 papers), Thyroid Disorders and Treatments (7 papers), Estrogen and related hormone effects (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), DNA and Nucleic Acid Chemistry (3 papers), Click Chemistry and Applications (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (655 citations), Genetics (673 citations), Immunology (444 citations), Pathology and Forensic Medicine (160 citations) and Gastroenterology (47 citations). Eric M. Jacobson has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Yaron Tomer, Amanda K. Huber, Erlinda Concepcion, Taiji Oashi, Yaron Tomer, Francesca Menconi, Sarah Corathers, Yaron Tomer, Yoshiyuki Ban and Aneel K. Aggarwal. Their work appears in journals such as Journal of Autoimmunity, Journal of Biological Chemistry, Journal of the American Chemical Society, Endocrine Reviews and PLoS ONE.

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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