James Mark Simmerman

3.9k citations
29 papers · 2.0k indexed · 1 hit paper · h-index 21
Topics
Influenza Virus Research Studies (22 papers)Respiratory viral infections research (12 papers)COVID-19 epidemiological studies (8 papers)

In The Last Decade

James Mark Simmerman

29 papers receiving 1.9k citations

Hit Papers

Probable Person-to-Person Transmission of Avian Influenza...20052026201220192005200400600

Peers

James Mark Simmerman
Comparison fields: 5 of 128
  • Epidemiology 1.4k
  • Infectious Diseases 770
  • Modeling and Simulation 398
  • Agronomy and Crop Science 377
  • Pulmonary and Respiratory Medicine 369
Replace Daitao Zhang with:
Daitao Zhang China
Shelan Liu China
Pieter L. A. Fraaij Netherlands
Ai Ee Ling Singapore
Camille Lemieux Canada
Ji Yun Noh South Korea
Avram Levy Australia
Chia Yin Chong Singapore
Lin Cui Singapore
Rashida Khakoo United States
James Mark Simmerman relative to Daitao Zhang China Daitao Zhang's profile →
Citations per field
00.5×4.2×
Daitao Zhang · 1×
Citations per year

Countries citing papers authored by James Mark Simmerman

Since Specialization
Citations

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

Fields of papers citing papers by James Mark Simmerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Mark Simmerman

This figure shows the co-authorship network connecting the top 25 collaborators of James Mark Simmerman. A scholar is included among the top collaborators of James Mark Simmerman 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 James Mark Simmerman. James Mark Simmerman 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
#WorkIndexed citations
1 57
2 245
3 134
4 6
5 20
6 40
7 31
8 23
9 106
10 26
11 42
12
A household survey to assess the burden of influenza in rural Thailand.
16
13 26
14 74
15
Probable Person-to-Person Transmission of Avian Influenza A (H5N1)breakdown →
615
16 43
17 138
18 4
19 1
20 19

About James Mark Simmerman

James Mark Simmerman is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology, having authored 29 papers that have together received 2.0k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (22 papers), Respiratory viral infections research (12 papers) and COVID-19 epidemiological studies (8 papers). The work is most often cited by research in Modeling and Simulation (398 citations), Infectious Diseases (770 citations) and Epidemiology (1.4k citations). James Mark Simmerman has collaborated with scholars based in Thailand, United States and Hong Kong. Frequent co-authors include Timothy M. Uyeki, Scott F. Dowell, Jens Levy, Kumnuan Ungchusak, Malinee Chittaganpitch, Sonja J. Olsen, Pranee Thawatsupha, Piyarat Suntarattiwong, Pilaipan Puthavathana and Nancy J. Cox. Their work appears in journals such as New England Journal of Medicine, Nature Communications and PLoS ONE.

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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