Gary Geiss

7.4k citations
26 papers · 2.6k indexed · h-index 20
  • Virology top 5%
    • HIV Research and Treatment 2
  • Immunology top 5%
    • interferon and immune responses 4
    • RNA Research and Splicing 6
    • RNA modifications and cancer 4
    • RNA and protein synthesis mechanisms 4
    • Genomics and Chromatin Dynamics 4
    • Advanced biosensing and bioanalysis techniques 3
    • DNA Repair Mechanisms 2
  • Hepatology top 5%

Gary Geiss

26 papers receiving 2.5k citations

Peers

Gary Geiss
Comparison fields: 5 of 119
  • Virology 188
  • Cancer Research 495
  • Immunology 650
  • Molecular Biology 1.3k
  • Hepatology 127
Replace François Jean with:
François Jean Canada
Franco M. Buonaguro Italy
Matthew J. Thomas United States
Anthony J. Sadler Australia
Hong Xie United States
Vincenzo Ciminale Italy
Nathaniel J. Moorman United States
Sandy D. Der Canada
Pierre Génin France
Susana Guerra Spain
Gary Geiss relative to François Jean Canada François Jean's profile →
Citations per field
00.5×1.7×
François Jean · 1×
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-authorship network

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
#Work
1 20239
2 2021160
3 202025
4 201816
5 2015337
6 2009111
7 200990
8 2009120
9 200570
10 200464
11 200391
12 200210
13 2002301
14 2001184
15 2000215
16 2000149
17 199713
18 199520
19 19958
20 199421

About Gary Geiss

Gary Geiss is a scholar working on Virology, Immunology, Molecular Biology, Cancer Research and Bioengineering, 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 modifications and cancer (4 papers), RNA and protein synthesis mechanisms (4 papers), Genomics and Chromatin Dynamics (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), HIV Research and Treatment (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Virology (188 citations), Cancer Research (495 citations), Immunology (650 citations), Molecular Biology (1.3k citations) and Hepatology (127 citations). Gary Geiss has collaborated with scholars based in United States, France and Austria. 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, Mirella Salvatore and Adolfo Garcı́a-Sastre. 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 Molecular Genetics and Genomics.

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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