James Greger

2.4k citations
28 papers · 1.5k · h-index 17

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Oncology top 5%
    • HER2/EGFR in Cancer Research

Papers in

    • Cancer Immunotherapy and Biomarkers 5
    • HER2/EGFR in Cancer Research 4
    • Cytokine Signaling Pathways and Interactions 3
    • CRISPR and Genetic Engineering 4
    • Melanoma and MAPK Pathways 3

James Greger

27 papers receiving 1.5k citations

Peers

James Greger
Comparison fields: 5 of 97
  • Virology 182
  • Oncology 615
  • Molecular Biology 895
  • Immunology 261
  • Genetics 270
Replace Changhua Ji with:
Changhua Ji United States
Karl‐Henning Kalland Norway
Yaoyu E. Wang United States
James R. Zucali United States
Frédéric Troalen France
Katherine Galvin United States
Peter R. Strack United States
Laura M. Bartle United States
James W. Peacock Canada
Raquel Blanco Spain
James Greger relative to Changhua Ji United States Changhua Ji's profile →
Citations per field
00.5×2.7×
Changhua Ji · 1×
Citations per year

Countries citing papers authored by James Greger

Since Specialization
Citations

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

Fields of papers citing papers by James Greger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009378
2 2012260
3 2007176
4 200390
5 200480
6 201164
7 200259
8 200552
9 200348
10 201345
11 200444
12 201543
13 200539
14 202332
15 200730
16 200525
17 200422
18 202213
19 196512
20 20046

About James Greger

James Greger is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Genetics and Infectious Diseases, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), HIV Research and Treatment (4 papers), Virus-based gene therapy research (4 papers), HER2/EGFR in Cancer Research (4 papers), CRISPR and Genetic Engineering (4 papers), Lung Cancer Treatments and Mutations (4 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Melanoma and MAPK Pathways (3 papers). The work is most often cited by research in Virology (182 citations), Oncology (615 citations), Molecular Biology (895 citations), Immunology (261 citations) and Genetics (270 citations). James Greger has collaborated with scholars based in United States, Spain and Poland. Frequent co-authors include Richard A. Katz, Anna Marie Skalka, Tona M. Gilmer, Boris J. Cheskis, Hong Shi, Li Liu, Anne‐Marie Martin, Sunil Nagpal, Leonard P. Freedman and Yuan Liu. Their work appears in journals such as Journal of Clinical Oncology, Journal of Virology, Molecular Cancer Therapeutics, Journal of Cellular Biochemistry and Journal of Biological Chemistry.

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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