Fred Levine

5.0k citations
101 papers · 4.0k · h-index 35

Impact in

  • Genetics top 1%
    • Diabetes and associated disorders
    • Virus-based gene therapy research
  • Aging top 5%

Papers in

    • Pancreatic function and diabetes 53
    • Metabolism, Diabetes, and Cancer 10
    • Pluripotent Stem Cells Research 6

Fred Levine

100 papers receiving 3.8k citations

Peers

Fred Levine
Comparison fields: 5 of 136
  • Genetics 1.4k
  • Aging 86
  • Endocrinology, Diabetes and Metabolism 714
  • Surgery 1.5k
  • Molecular Biology 1.7k
Replace Xiaodong Yang with:
Xiaodong Yang China
Stephen J. Fey Denmark
Helen E. Thomas Australia
Howard W. Davidson United States
Jason C. Mills United States
László G. Kömüves United States
C.S. Potten United Kingdom
Pascale Briand France
Richard N. Harkins United States
James F. Collawn United States
Fred Levine relative to Xiaodong Yang China Xiaodong Yang's profile →
Citations per field
00.5×2.9×
Xiaodong Yang · 1×
Citations per year

Countries citing papers authored by Fred Levine

Since Specialization
Citations

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

Fields of papers citing papers by Fred Levine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000317
2 1992228
3 2006173
4 1999161
5 2010152
6 1999150
7 1999142
8 1999119
9 1981112
10 2001109
11 200096
12 200693
13 200191
14 199989
15 200176
16 200470
17 200555
18 198554
19 200454
20 201451

About Fred Levine

Fred Levine is a scholar working on Surgery, Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 101 papers that have together received 4.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (53 papers), Diabetes and associated disorders (21 papers), Diabetes Management and Research (14 papers), Virus-based gene therapy research (12 papers), Metabolism, Diabetes, and Cancer (10 papers), Herpesvirus Infections and Treatments (8 papers), Genetics and Neurodevelopmental Disorders (6 papers) and Pluripotent Stem Cells Research (6 papers). The work is most often cited by research in Genetics (1.4k citations), Aging (86 citations), Endocrinology, Diabetes and Metabolism (714 citations), Surgery (1.5k citations) and Molecular Biology (1.7k citations). Fred Levine has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Ergeng Hao, Pamela Itkin‐Ansari, David R. Brown, Tanya Halvorsen, Alberto Hayek, Gil Leibowitz, Gil Leibowitz, Theodore Friedmann, Jonathan Mansbridge and Björn Tyrberg. Their work appears in journals such as The Journal of Immunology, Cryobiology, Cell Death and Disease, Stem Cells and Cell Transplantation.

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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