Marc K. Hellerstein

29.2k total citations · 6 hit papers
297 papers, 19.1k citations indexed

About

Marc K. Hellerstein is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Marc K. Hellerstein has authored 297 papers receiving a total of 19.1k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Physiology, 80 papers in Molecular Biology and 73 papers in Epidemiology. Recurrent topics in Marc K. Hellerstein's work include Diet and metabolism studies (53 papers), Liver Disease Diagnosis and Treatment (47 papers) and Adipose Tissue and Metabolism (46 papers). Marc K. Hellerstein is often cited by papers focused on Diet and metabolism studies (53 papers), Liver Disease Diagnosis and Treatment (47 papers) and Adipose Tissue and Metabolism (46 papers). Marc K. Hellerstein collaborates with scholars based in United States, United Kingdom and Canada. Marc K. Hellerstein's co-authors include Richard A. Neese, Elizabeth J. Parks, Scott Turner, Denise Cesar, Joseph M. McCune, Krista A Varady, Mads Christiansen, Rebecca Hoh, Mark Fitch and Mark P. Christiansen and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and JAMA.

In The Last Decade

Marc K. Hellerstein

290 papers receiving 18.6k citations

Hit Papers

Type 1 diabetes immunotherapy using p... 2001 2026 2009 2017 2015 2012 2019 2001 2015 250 500 750

Peers

Marc K. Hellerstein
Comparison fields: 5 of 182
  • Physiology 5.9k
  • Molecular Biology 5.3k
  • Epidemiology 3.8k
  • Endocrinology, Diabetes and Metabolism 3.2k
  • Immunology 3.0k
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Jack R. Wands United States View profile →
Citations per field, relative to Marc K. Hellerstein
Marc K. Hellerstein · 1×
Citations per year, relative to Marc K. Hellerstein
Marc K. Hellerstein · 1×

Countries citing papers authored by Marc K. Hellerstein

Since Specialization
Citations

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

Fields of papers citing papers by Marc K. Hellerstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc K. Hellerstein. 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 Marc K. Hellerstein. The network helps show where Marc K. Hellerstein may publish in the future.

Co-authorship network of co-authors of Marc K. Hellerstein

This figure shows the co-authorship network connecting the top 25 collaborators of Marc K. Hellerstein. A scholar is included among the top collaborators of Marc K. Hellerstein 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 Marc K. Hellerstein. Marc K. Hellerstein 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
# Work Indexed citations
1 0
2 3
3 4
4 0
5 13
6 5
7 10
8 17
9 51
10 52
11 27
12 28
13 9
14 42
15 25
16 129
17 2
18 44
19 163
20 99

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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