Shawn Winer

9.3k citations
49 papers · 4.9k indexed · 5 hit papers · h-index 27
Topics
Adipokines, Inflammation, and Metabolic Diseases (14 papers)Diabetes and associated disorders (13 papers)Immune Cell Function and Interaction (13 papers)

In The Last Decade

Shawn Winer

48 papers receiving 4.9k citations

Hit Papers

Normalization of obesity-associated insulin resistance th...2009202620142020200920112016202320212505007501000

Peers

Shawn Winer
Comparison fields: 5 of 120
  • Epidemiology 2.2k
  • Immunology 1.8k
  • Physiology 1.4k
  • Molecular Biology 1.2k
  • Genetics 998
Replace Hans Carlsten with:
Hans Carlsten Sweden
Maximilian Zeyda Austria
Christa Buechler Germany
Charles C. Caldwell United States
Lev Becker United States
Yun‐Hee Youm United States
Afia Naaz United States
Veronica De Rosa Italy
Aida Habtezion United States
Mitsuru Ohsugi Japan
Shawn Winer relative to Hans Carlsten Sweden Hans Carlsten's profile →
Citations per field
00.5×
Hans Carlsten · 1×
Citations per year

Countries citing papers authored by Shawn Winer

Since Specialization
Citations

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

Fields of papers citing papers by Shawn Winer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shawn Winer

This figure shows the co-authorship network connecting the top 25 collaborators of Shawn Winer. A scholar is included among the top collaborators of Shawn Winer 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 Shawn Winer. Shawn Winer 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 0
2 23
3
Microbiota‐Driven Activation of Intrahepatic B Cells Aggravates NASH Through Innate and Adaptive Signalingbreakdown →
149
4 63
5 203
6 65
7 45
8
The Intestinal Immune System in Obesity and Insulin Resistancebreakdown →
371
9 12
10 62
11 114
12 70
13 11
14
B cells promote insulin resistance through modulation of T cells and production of pathogenic IgG antibodiesbreakdown →
806
15 15
16 71
17 26
18 39
19 75
20 18

About Shawn Winer

Shawn Winer is a scholar working on Immunology, Genetics and Physiology, having authored 49 papers that have together received 4.9k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (14 papers), Diabetes and associated disorders (13 papers) and Immune Cell Function and Interaction (13 papers). The work is most often cited by research in Immunology (1.8k citations), Epidemiology (2.2k citations) and Physiology (1.4k citations). Shawn Winer has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Daniel A. Winer, Edgar G. Engleman, Hubert Tsui, H.‐Michael Dosch, Helen Luck, Sue Tsai, Geoffrey Paltser, Yin Chan, Fabrizio G. Mastronardi and Dorothy Truong. Their work appears in journals such as The Lancet, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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