Gerald Myers

3.5k total citations
25 papers, 1.8k citations indexed

About

Gerald Myers is a scholar working on Virology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Gerald Myers has authored 25 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Virology, 8 papers in Infectious Diseases and 7 papers in Epidemiology. Recurrent topics in Gerald Myers's work include HIV Research and Treatment (13 papers), HIV/AIDS drug development and treatment (6 papers) and HIV/AIDS Research and Interventions (4 papers). Gerald Myers is often cited by papers focused on HIV Research and Treatment (13 papers), HIV/AIDS drug development and treatment (6 papers) and HIV/AIDS Research and Interventions (4 papers). Gerald Myers collaborates with scholars based in United States, Japan and Belgium. Gerald Myers's co-authors include Bette Korber, Gerald Schochetman, Randall F. Smith, Brian Gaschen, Tom Brettin, Donald B. Smith, Omana V. Nainan, Tadasu Shin‐I, Netesov Sv and Lieven Stuyver and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Annals of Internal Medicine.

In The Last Decade

Gerald Myers

23 papers receiving 1.7k citations

Peers

Gerald Myers
Comparison fields: 5 of 107
  • Virology 796
  • Infectious Diseases 750
  • Epidemiology 706
  • Hepatology 526
  • Molecular Biology 368
Replace Dale Netski with:
Dale Netski United States
Anna Rosa Garbuglia Italy
Brian Gaschen United States
P. Verani Italy
Paul R. Grant United Kingdom
Jinhua Xiang United States
Jordi Gómez Spain
Colin R. Howard United Kingdom
Christine Rousseau United States
Caroline T. Tiemessen South Africa
Dale Netski United States View profile →
Citations per field, relative to Gerald Myers
Gerald Myers · 1×
Citations per year, relative to Gerald Myers
Gerald Myers · 1×

Countries citing papers authored by Gerald Myers

Since Specialization
Citations

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

Fields of papers citing papers by Gerald Myers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerald Myers

This figure shows the co-authorship network connecting the top 25 collaborators of Gerald Myers. A scholar is included among the top collaborators of Gerald Myers based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gerald Myers. Gerald Myers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 6
2 5
3 24
4 16
5 42
6 74
7 121
8 128
9 42
10 83
11 115
12 26
13 28
14 216
15 172
16 8
17 23
18 100
19 1
20 40

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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