Michael D. Elftman

690 citations
13 papers · 533 · h-index 10

Impact in

    • Viral gastroenteritis research and epidemiology
    • Tuberculosis Research and Epidemiology
    • Infectious Diseases and Mycology

Papers in

    • Immunotherapy and Immune Responses 4
    • T-cell and B-cell Immunology 4
    • Immune Cell Function and Interaction 3
    • Viral gastroenteritis research and epidemiology 4

Michael D. Elftman

13 papers receiving 525 citations

Peers

Michael D. Elftman
Comparison fields: 5 of 75
  • Infectious Diseases 165
  • Small Animals 64
  • Epidemiology 199
  • Animal Science and Zoology 66
  • Behavioral Neuroscience 20
Replace Valeria Cavalli with:
Valeria Cavalli Italy
Lois A. Zitzow United States
Amy Boyd United Kingdom
Karl A. Andrutis United States
Renuka Subramaniam United States
Yoon-Chul Kye South Korea
Koichirô Fujita Japan
Carlos Lopez Mexico
Gunjan Kak United States
Rakel Carpintero Spain
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Citations per field
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Valeria Cavalli · 1×
Citations per year

Countries citing papers authored by Michael D. Elftman

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Elftman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Elftman. 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 Michael D. Elftman. The network helps show where Michael D. Elftman may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2004164
2 200363
3 200759
4 200357
5 201652
6 201038
7 201328
8 201523
9 201023
10 201318
11 20245
12 20232
13 20061

About Michael D. Elftman

Michael D. Elftman is a scholar working on Immunology, Infectious Diseases, Molecular Biology, Epidemiology and Genetics, having authored 13 papers that have together received 533 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Immune Cell Function and Interaction (3 papers), Mycobacterium research and diagnosis (2 papers), Ginseng Biological Effects and Applications (2 papers), Virus-based gene therapy research (2 papers) and Pharmacological Effects of Natural Compounds (1 paper). The work is most often cited by research in Infectious Diseases (165 citations), Small Animals (64 citations), Epidemiology (199 citations), Animal Science and Zoology (66 citations) and Behavioral Neuroscience (20 citations). Michael D. Elftman has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Paul M. Coussens, Amanda McNulty, Robert H. Bonneau, M.E. Truckenmiller, Christopher C. Norbury, Christiane E. Wobus, Abimbola O. Kolawole, Christopher J. Colvin, Guilherme J. M. Rosa and John Hunzeker. Their work appears in journals such as The Journal of Immunology, Infection and Immunity, Journal of Virology, Microbiome and Antiviral Research.

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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