Christopher Hug

30 papers receiving 3.6k citations

Hit Papers

T-cadherin is a receptor for hexameric and high-molecular-weight forms of Acrp30/adiponectin 2004 · 679 citations
6792004202620112018200400600

Peers

Christopher Hug
Comparison fields: 5 of 121
  • Endocrine and Autonomic Systems 525
  • Physiology 1.6k
  • Epidemiology 2.0k
  • Cardiology and Cardiovascular Medicine 733
  • Cell Biology 457
Replace John C. McLenithan with:
John C. McLenithan United States
Zhigang Hong United States
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Citations per field
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Citations per year

Countries citing papers authored by Christopher Hug

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Hug

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher Hug. 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 Christopher Hug. The network helps show where Christopher Hug may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 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 →
2004679
2 2003399
3 2004369
4 2002310
5 2006287
6 2006259
7 2008249
8
T-cadherin is receptor for hexameric and high-molecular-weight forms of Acrp30/adiponectin
2004164
9 2004151
10 1995143
11 1990142
12 1995110
13 200590
14 199266
15 201255
16 200938
17 201236
18 201729
19 201824
20 201422

About Christopher Hug

Christopher Hug is a scholar working on Health Informatics, Endocrine and Autonomic Systems, Rehabilitation, Epidemiology and Physiology, having authored 30 papers that have together received 3.7k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (14 papers), Adipose Tissue and Metabolism (5 papers), Cystic Fibrosis Research Advances (3 papers), Asthma and respiratory diseases (3 papers), Cellular Mechanics and Interactions (3 papers), Exercise and Physiological Responses (3 papers), Biomarkers in Disease Mechanisms (3 papers) and Regulation of Appetite and Obesity (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (525 citations), Physiology (1.6k citations), Epidemiology (2.0k citations), Cardiology and Cardiovascular Medicine (733 citations) and Cell Biology (457 citations). Christopher Hug has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Harvey F. Lodish, Tsu‐Shuen Tsao, Jonathan S. Bogan, Jin Wang, Heather E. Murrey, G. William Wong, John A. Cooper, Jin Wang, Guangtao Ge and Stephanie A. Shore. Their work appears in journals such as PLoS ONE, The Journal of Cell Biology, Journal of Cystic Fibrosis, The Journal of Immunology and Journal of Biological Chemistry.

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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