Greg Harrowe

563 citations
9 papers · 495 · h-index 8

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • Immune Cell Function and Interaction

Papers in

    • Receptor Mechanisms and Signaling 3
    • Biochemical and Structural Characterization 1
    • Protein Tyrosine Phosphatases 1
    • Virology and Viral Diseases 2
    • Cytomegalovirus and herpesvirus research 1

Greg Harrowe

9 papers receiving 480 citations

Peers

Greg Harrowe
Comparison fields: 5 of 65
  • Virology 153
  • Immunology 119
  • Infectious Diseases 103
  • Cellular and Molecular Neuroscience 95
  • Molecular Biology 252
Replace Rafael S. Depetris with:
Rafael S. Depetris United States
J Völker United States
Karin M. Green United States
Barbara Allain France
Simon Hoffenberg United States
Dorothée Molle France
Olivier Labbé Belgium
Jean Vianney Barnier France
Maribel Donoso United States
N. Strunnikova United States
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Citations per field
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Citations per year

Countries citing papers authored by Greg Harrowe

Since Specialization
Citations

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

Fields of papers citing papers by Greg Harrowe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Greg Harrowe, 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 Greg Harrowe Line = papers co-authored together Greg Harrowe links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1998169
2 1994148
3 199269
4 199030
5 199227
6 200017
7 198915
8 200114
9 19916

About Greg Harrowe

Greg Harrowe is a scholar working on Molecular Biology, Epidemiology, Immunology, Oncology and Infectious Diseases, having authored 9 papers that have together received 495 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (3 papers), Complement system in diseases (2 papers), Virology and Viral Diseases (2 papers), Peptidase Inhibition and Analysis (1 paper), Mast cells and histamine (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Biochemical and Structural Characterization (1 paper) and Protein Tyrosine Phosphatases (1 paper). The work is most often cited by research in Virology (153 citations), Immunology (119 citations), Infectious Diseases (103 citations), Cellular and Molecular Neuroscience (95 citations) and Molecular Biology (252 citations). Greg Harrowe has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Wei Yu, Wendy J. Fantl, Lewis T. Williams, Jay A. Levy, Cecilia Cheng‐Mayer, Atsushi Koito, Donald G. Payan, Masato Mitsuhashi, Shigeki Shichijo and Y. Ohashi. Their work appears in journals such as Journal of Cellular Biochemistry, Cellular and Molecular Neurobiology, Current Biology, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Journal of Clinical Investigation.

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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