Case W. McNamara

7.0k total citations
48 papers, 2.0k citations indexed

About

Case W. McNamara is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Parasitology. According to data from OpenAlex, Case W. McNamara has authored 48 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Public Health, Environmental and Occupational Health, 17 papers in Infectious Diseases and 13 papers in Parasitology. Recurrent topics in Case W. McNamara's work include Parasitic Infections and Diagnostics (12 papers), Malaria Research and Control (12 papers) and Computational Drug Discovery Methods (8 papers). Case W. McNamara is often cited by papers focused on Parasitic Infections and Diagnostics (12 papers), Malaria Research and Control (12 papers) and Computational Drug Discovery Methods (8 papers). Case W. McNamara collaborates with scholars based in United States, Switzerland and China. Case W. McNamara's co-authors include Elizabeth A. Winzeler, Arnab K. Chatterjee, Peter G. Schultz, Melissa S. Love, Partho Ghosh, Annelies S. Zinkernagel, David Plouffe, Victor Nizet, Thierry T. Diagana and Bryan K. S. Yeung and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Case W. McNamara

46 papers receiving 2.0k citations

Peers

Case W. McNamara
Comparison fields: 5 of 94
  • Public Health, Environmental and Occupational Health 967
  • Molecular Biology 573
  • Infectious Diseases 443
  • Epidemiology 359
  • Parasitology 349
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Michael Klemba United States
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Citations per field, relative to Case W. McNamara
Case W. McNamara · 1×
Citations per year, relative to Case W. McNamara
Case W. McNamara · 1×

Countries citing papers authored by Case W. McNamara

Since Specialization
Citations

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

Fields of papers citing papers by Case W. McNamara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Case W. McNamara. 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 Case W. McNamara. The network helps show where Case W. McNamara may publish in the future.

Co-authorship network of co-authors of Case W. McNamara

This figure shows the co-authorship network connecting the top 25 collaborators of Case W. McNamara. A scholar is included among the top collaborators of Case W. McNamara 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 Case W. McNamara. Case W. McNamara 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 1
2 1
3 0
4 2
5 7
6 7
7 3
8 42
9 29
10 44
11 69
12 44
13 125
14 19
15 29
16 76
17 69
18 144
19 325
20 124

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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