Mark Kelly

1.5k total citations · 1 hit paper
18 papers, 1.0k citations indexed

About

Mark Kelly is a scholar working on Epidemiology, Physiology and Molecular Biology. According to data from OpenAlex, Mark Kelly has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 7 papers in Physiology and 5 papers in Molecular Biology. Recurrent topics in Mark Kelly's work include Adipose Tissue and Metabolism (7 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Liver Disease Diagnosis and Treatment (4 papers). Mark Kelly is often cited by papers focused on Adipose Tissue and Metabolism (7 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Liver Disease Diagnosis and Treatment (4 papers). Mark Kelly collaborates with scholars based in United States, Australia and Greece. Mark Kelly's co-authors include Timothy P. Fitzgibbons, Michael Czech, Matthias Nahrendorf, Jason D. Roh, Sean P. Arlauckas, Katherine A. Fitzgerald, Andrej Savol, Aaron D. Aguirre, Kevin R. King and Rainer H. Köhler and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Nature Communications.

In The Last Decade

Mark Kelly

18 papers receiving 989 citations

Hit Papers

IRF3 and type I interferons fuel a fatal response to myoc... 2017 2026 2020 2023 2017 100 200 300 400

Peers

Mark Kelly
Comparison fields: 5 of 89
  • Molecular Biology 409
  • Surgery 284
  • Immunology 277
  • Epidemiology 169
  • Physiology 165
Replace Jinrong Lin with:
Jinrong Lin China
Moroe Beppu Japan
Itziar Palacios Spain
Mathilde Latil France
Frank Rutsch Germany
Wensheng Lu China
Taketoshi Kushida Japan
Joanneke C. Kwekkeboom Netherlands
Gina M. Coudriet United States
Marianne Engström Sweden
Jinrong Lin China View profile →
Citations per field, relative to Mark Kelly
Mark Kelly · 1×
Citations per year, relative to Mark Kelly
Mark Kelly · 1×

Countries citing papers authored by Mark Kelly

Since Specialization
Citations

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

Fields of papers citing papers by Mark Kelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Kelly

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Kelly. A scholar is included among the top collaborators of Mark Kelly 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 Mark Kelly. Mark Kelly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 2
2 28
3 9
4 4
5 14
6 19
7 29
8 40
9 57
10 26
11 12
12 29
13 47
14
IRF3 and type I interferons fuel a fatal response to myocardial infarction breakdown →
412
15 12
16 17
17 6
18 244

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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