Steven Levitte

966 citations
30 papers · 662 · h-index 13

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
    • Tuberculosis Research and Epidemiology
    • COVID-19 Clinical Research Studies

Papers in

Steven Levitte

30 papers receiving 650 citations

Peers

Steven Levitte
Comparison fields: 5 of 92
  • Aging 39
  • Infectious Diseases 143
  • Health Informatics 8
  • Immunology 97
  • Genetics 127
Replace Hong Ouyang with:
Hong Ouyang Canada
Christian Paar Austria
John E. Gorzynski United States
Marylise Fernandez Switzerland
Anthony C. Stevens United States
Sheng-Fung Lin Taiwan
Laura Cubitt United Kingdom
Teun Guichelaar Netherlands
Susmita Jasti United States
Florencia Cano United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Steven Levitte

Since Specialization
Citations

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

Fields of papers citing papers by Steven Levitte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Steven Levitte, 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 Steven Levitte Line = papers co-authored together Steven Levitte 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 2016100
2 202194
3 201675
4 202470
5 202064
6 200833
7 202332
8 202123
9 202022
10 202020
11 202119
12 202217
13 201016
14 202511
15 202410
16 20239
17 20249
18 20246
19 20255
20 20245

About Steven Levitte

Steven Levitte is a scholar working on Physiology, Gastroenterology, Pathology and Forensic Medicine, Genetics and Aging, having authored 30 papers that have together received 662 indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (5 papers), Pancreatic function and diabetes (3 papers), Calcium signaling and nucleotide metabolism (3 papers), Mesenchymal stem cell research (3 papers), Clinical Nutrition and Gastroenterology (3 papers), COVID-19 Clinical Research Studies (2 papers), Neonatal Respiratory Health Research (2 papers) and Foreign Body Medical Cases (2 papers). The work is most often cited by research in Aging (39 citations), Infectious Diseases (143 citations), Health Informatics (8 citations), Immunology (97 citations) and Genetics (127 citations). Steven Levitte has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include John Mark B. Gubatan, Akshar Patel, Lalita Ramakrishnan, Sidhartha R. Sinha, Aida Habtezion, Mike Tzuhen Wei, Kristin N. Adams, Kevin B. Urdahl, Christine L. Cosma and Zachary M. Sellers. Their work appears in journals such as PEDIATRICS, Journal of Clinical Medicine, Journal of Crohn s and Colitis, Digestive Diseases and Sciences and Gut.

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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