Jonathan P. Moorman

6.3k citations
131 papers · 3.8k · h-index 38

Impact in

  • Immunology top 1%
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Galectins and Cancer Biology
  • Hepatology top 2%
    • Hepatitis C virus research

Papers in

    • Immune Cell Function and Interaction 27
    • Immune cells in cancer 9
    • interferon and immune responses 6
    • Cytomegalovirus and herpesvirus research 21
    • Hepatitis B Virus Studies 14
    • Liver Disease Diagnosis and Treatment 7

Jonathan P. Moorman

128 papers receiving 3.8k citations

Peers

Jonathan P. Moorman
Comparison fields: 5 of 117
  • Immunology 1.5k
  • Hepatology 443
  • Virology 239
  • Microbiology 26
  • Epidemiology 824
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan P. Moorman

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan P. Moorman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan P. Moorman. 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 Jonathan P. Moorman. The network helps show where Jonathan P. Moorman may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011122
2 2004106
3 199996
4 202194
5 201491
6 201286
7 201185
8 201180
9 199675
10 201473
11 202171
12 201569
13 201268
14 199764
15 201162
16 201062
17 200761
18 201661
19 201959
20 199953

About Jonathan P. Moorman

Jonathan P. Moorman is a scholar working on Immunology, Epidemiology, Molecular Biology, Hepatology and Infectious Diseases, having authored 131 papers that have together received 3.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (27 papers), Cytomegalovirus and herpesvirus research (21 papers), Hepatitis C virus research (21 papers), Hepatitis B Virus Studies (14 papers), HIV Research and Treatment (9 papers), Immune cells in cancer (9 papers), Liver Disease Diagnosis and Treatment (7 papers) and interferon and immune responses (6 papers). The work is most often cited by research in Immunology (1.5k citations), Hepatology (443 citations), Virology (239 citations), Microbiology (26 citations) and Epidemiology (824 citations). Jonathan P. Moorman has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Zhi Q. Yao, Xiao Y. Wu, Juan Zhao, Shunbin Ning, Mohamed El Gazzar, Ling Wang, Madison Schank, Jia M. Wang, David A. Bobak and Chang S. Hahn. Their work appears in journals such as Immunology, Frontiers in Immunology, The Journal of Immunology, PLoS ONE and Journal of Virology.

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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