Gary Geiss

7.5k citations
26 papers · 2.6k · h-index 20

Impact in

Papers in

    • RNA Research and Splicing 6
    • RNA and protein synthesis mechanisms 4
    • Genomics and Chromatin Dynamics 4
    • RNA modifications and cancer 4
    • DNA Repair Mechanisms 2
    • interferon and immune responses 4
    • Immune Cell Function and Interaction 2

Gary Geiss

26 papers receiving 2.5k citations

Peers

Gary Geiss
Comparison fields: 5 of 115
  • Virology 184
  • Cancer Research 422
  • Immunology 595
  • Molecular Biology 1.2k
  • Hepatology 106
Replace François Jean with:
François Jean Canada
Anthony J. Sadler Australia
Vincenzo Ciminale Italy
Nathaniel J. Moorman United States
Sandy D. Der Canada
Susana Guerra Spain
Pierre Génin France
Mark A. McKinlay United States
Atsushi Hase Japan
Jia Liu China
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Citations per field
00.5×1.5×2.2×
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Citations per year

Countries citing papers authored by Gary Geiss

Since Specialization
Citations

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

Fields of papers citing papers by Gary Geiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015350
2 2002301
3 2000215
4 2001184
5 2021169
6 2002154
7 2000149
8 2006122
9 2009122
10
Identification of novel tumor markers in hepatitis C virus-associated hepatocellular carcinoma.
2003122
11 2009110
12 2001106
13 200392
14 200990
15 200571
16 200464
17 199452
18 202027
19 199421
20 199520

About Gary Geiss

Gary Geiss is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Virology, having authored 26 papers that have together received 2.6k indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), interferon and immune responses (4 papers), RNA and protein synthesis mechanisms (4 papers), Genomics and Chromatin Dynamics (4 papers), RNA modifications and cancer (4 papers), DNA Repair Mechanisms (2 papers), Influenza Virus Research Studies (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Virology (184 citations), Cancer Research (422 citations), Immunology (595 citations), Molecular Biology (1.2k citations) and Hepatology (106 citations). Gary Geiss has collaborated with scholars based in United States, France and Russia. Frequent co-authors include Roger E. Bumgarner, Michael G. Katze, Victoria S. Carter, Angélique B. van ’t Wout, James I. Mullins, Mahru C. An, Ge Jin, Ganes C. Sen, Peter Palese and Xiuyan Wang. Their work appears in journals such as Molecular and Cellular Biology, Journal of Virology, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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