Fred Levine

4.5k citations
89 papers · 3.9k · h-index 33

Impact in

  • Surgery top 2%
    • Pancreatic function and diabetes
  • Genetics top 5%
    • Virus-based gene therapy research

Papers in

    • Pancreatic function and diabetes 45
    • Virus-based gene therapy research 11
    • Genetic Associations and Epidemiology 3

Fred Levine

87 papers receiving 3.7k citations

Peers

Fred Levine
Comparison fields: 5 of 119
  • Surgery 1.3k
  • Genetics 551
  • Physiology 466
  • Clinical Biochemistry 60
  • Molecular Biology 776
Replace Nancy K. Dwyer with:
Nancy K. Dwyer United States
Kyoko Nakamura Japan
E. Joan Blanchette‐Mackie United States
Daniel Hesselson Australia
Virginie Carmignac France
Xin Gong United States
Hayato Kawakami Japan
Li Yang China
Xue Li China
Patricia Levy Yeyati United Kingdom
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Citations per field
00.5×2×3×3.6×
Nancy K. Dwyer · 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 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000343
2 1992244
3 2006185
4 1999170
5 2010158
6 1999150
7 1999149
8 1999126
9 2001113
10 2006106
11 2000104
12 2001100
13 199991
14 200178
15 200478
16 201274
17 200459
18 200559
19 200157
20 201455

About Fred Levine

Fred Levine is a scholar working on Surgery, Genetics, Physiology, Epidemiology and Molecular Biology, having authored 89 papers that have together received 3.9k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (45 papers), Virus-based gene therapy research (11 papers), Herpesvirus Infections and Treatments (5 papers), Telomeres, Telomerase, and Senescence (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Genetic Associations and Epidemiology (3 papers), Heavy Metal Exposure and Toxicity (2 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Surgery (1.3k citations), Genetics (551 citations), Physiology (466 citations), Clinical Biochemistry (60 citations) and Molecular Biology (776 citations). Fred Levine has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Ergeng Hao, Pamela Itkin‐Ansari, Tanya Halvorsen, Alberto Hayek, Gil Leibowitz, Gil Leibowitz, Jonathan N Mansbridge, Theodore Friedmann, Björn Tyrberg and Igor I. Katkov. Their work appears in journals such as Cryobiology, Cell Death and Disease, Stem Cells, Cell Transplantation and Cell Biochemistry and Biophysics.

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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