Michelle Hoffman

1.6k citations
66 papers · 1.2k · h-index 15

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Genetics top 5%
    • Diabetes and associated disorders
    • Virus-based gene therapy research

Papers in

    • Diabetes and associated disorders 9
    • HIV Research and Treatment 3

Michelle Hoffman

63 papers receiving 1.1k citations

Peers

Michelle Hoffman
Comparison fields: 5 of 110
  • Virology 177
  • Genetics 534
  • Endocrinology, Diabetes and Metabolism 242
  • Immunology 184
  • Surgery 227
Replace Steven J. Mack with:
Steven J. Mack United States
Barbara Muciaccia Italy
Florence Aubry France
Irina Grishina United States
Pamela J. Reynolds United States
Xaquín Castro Dopico Sweden
R. Emanoil‐Ravier France
Christine Moore Smith United States
K. Bhatia Papua New Guinea
Issam Mansour Lebanon
Michelle Hoffman relative to Steven J. Mack United States Steven J. Mack's profile →
Citations per field
00.5×1.5×2.1×
Steven J. Mack · 1×
Citations per year

Countries citing papers authored by Michelle Hoffman

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Hoffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993167
2 2018138
3 2020122
4 201793
5 201854
6 202149
7 199442
8 202042
9 201936
10 202035
11 201927
12 199323
13 199122
14 201821
15 199016
16 202115
17 201815
18 201614
19 201814
20 199413

About Michelle Hoffman

Michelle Hoffman is a scholar working on Genetics, Virology, Parasitology, Global and Planetary Change and Molecular Biology, having authored 66 papers that have together received 1.2k indexed citations. Recurring topics across this work include Diabetes and associated disorders (9 papers), Amphibian and Reptile Biology (7 papers), Parasitic Infections and Diagnostics (5 papers), Pancreatic function and diabetes (5 papers), Immune Cell Function and Interaction (4 papers), Coccidia and coccidiosis research (3 papers), HIV Research and Treatment (3 papers) and Wildlife Ecology and Conservation (3 papers). The work is most often cited by research in Virology (177 citations), Genetics (534 citations), Endocrinology, Diabetes and Metabolism (242 citations), Immunology (184 citations) and Surgery (227 citations). Michelle Hoffman has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Lawrence Corey, Philip D. Greenberg, M J McElrath, Ann C. Collier, Gale Smith, Robert W. Coombs, Shiu-Lok Hu, Elizabeth L. Cooney, David A. Steen and Sara Klucking. Their work appears in journals such as Science, Diabetes, Diabetes Care, American Scientist and Scientific Reports.

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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