Jonathan S. Bogan

47 papers receiving 3.9k citations

Jonathan S. Bogan's Hit Papers

T-cadherin is a receptor for hexameric and high-molecular-weight forms of Acrp30/adiponectin 2004 · 715 citations
7150+7+14Years since publication200400600

Peers

Jonathan S. Bogan
Comparison fields: 5 of 109
  • Endocrine and Autonomic Systems 327
  • Physiology 1.1k
  • Cell Biology 652
  • Epidemiology 1.0k
  • Endocrinology, Diabetes and Metabolism 503
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Susanna R. Keller United States
Mario Pende France
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Citations per year

Countries citing papers authored by Jonathan S. Bogan

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan S. Bogan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan S. Bogan. 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 Jonathan S. Bogan. The network helps show where Jonathan S. Bogan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
T-cadherin is a receptor for hexameric and high-molecular-weight forms of Acrp30/adiponectin
Hit paper breakdown →
2004715
2 1992392
3 2010316
4 2012218
5 2009183
6 2003163
7 1999154
8 2001142
9 2000124
10 2017114
11 2020109
12 2011107
13 201096
14 201386
15 201077
16 200776
17 199870
18 201270
19 199361
20 199451

About Jonathan S. Bogan

Jonathan S. Bogan is a scholar working on Molecular Biology, Surgery, Cell Biology, Physiology and Genetics, having authored 49 papers that have together received 4.0k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (18 papers), Pancreatic function and diabetes (16 papers), Cellular transport and secretion (14 papers), Adipose Tissue and Metabolism (7 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (327 citations), Physiology (1.1k citations), Cell Biology (652 citations), Epidemiology (1.0k citations) and Endocrinology, Diabetes and Metabolism (503 citations). Jonathan S. Bogan has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Harvey F. Lodish, Tsu‐Shuen Tsao, Christopher Hug, Jin Wang, James Cresswell, Adrienne E. McKee, Peggy Beer‐Romero, Ewan C. McNay, Rory J. McCrimmon and Robert S. Sherwin. Their work appears in journals such as Journal of Biological Chemistry, American Journal of Physiology-Endocrinology and Metabolism, Vitamins and hormones, Cell Metabolism and Genomics.

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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