David M. Sasaki

21 total papers · 1.2k total citations
18 papers, 886 citations indexed

About

David M. Sasaki is a scholar working on Parasitology, Infectious Diseases and Public Health, Environmental and Occupational Health. According to data from OpenAlex, David M. Sasaki has authored 18 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Parasitology, 8 papers in Infectious Diseases and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in David M. Sasaki's work include Leptospirosis research and findings (12 papers), Viral Infections and Vectors (8 papers) and Zoonotic diseases and public health (3 papers). David M. Sasaki is often cited by papers focused on Leptospirosis research and findings (12 papers), Viral Infections and Vectors (8 papers) and Zoonotic diseases and public health (3 papers). David M. Sasaki collaborates with scholars based in United States, India and Netherlands. David M. Sasaki's co-authors include Alan R. Katz, Paul V. Effler, Charles R. Middleton, Vernon Ansdell, Claude Yersin, George C. Gussenhoven, Henk L. Smits, HENRY HIGA, April K. Bogard and Rudy A. Hartskeerl and has published in prestigious journals such as Clinical Infectious Diseases, American Journal of Public Health and Journal of Clinical Microbiology.

In The Last Decade

David M. Sasaki

18 papers receiving 824 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
David M. Sasaki	724	459	135	96	34	18	886
E S Shang	645 0.9×	342 0.7×	67 0.5×	155 1.6×	82 2.4×	20	856
Theresa R. Slifko	635 0.9×	362 0.8×	51 0.4×	39 0.4×	29 0.9×	16	875
Earl J. Lewis	605 0.8×	220 0.5×	40 0.3×	32 0.3×	51 1.5×	26	829
Keith M. Woods	494 0.7×	360 0.8×	34 0.3×	48 0.5×	240 7.1×	36	936
Kwablah Awadzi	441 0.6×	672 1.5×	116 0.9×	196 2.0×	52 1.5×	20	1000
J. F. Walsh	195 0.3×	511 1.1×	313 2.3×	30 0.3×	38 1.1×	38	1.0k
A.C. Majewska	612 0.8×	316 0.7×	20 0.1×	42 0.4×	16 0.5×	43	714
Kari Hovind‐Hougen	497 0.7×	394 0.9×	65 0.5×	372 3.9×	52 1.5×	31	969
Richard C. Collins	277 0.4×	601 1.3×	57 0.4×	82 0.9×	24 0.7×	44	830
Saritha Sivakumar	136 0.2×	338 0.7×	27 0.2×	92 1.0×	18 0.5×	33	768

Countries citing papers authored by David M. Sasaki

Since Specialization

Citations

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

Fields of papers citing papers by David M. Sasaki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Sasaki. 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 David M. Sasaki. The network helps show where David M. Sasaki may publish in the future.

Co-authorship network of co-authors of David M. Sasaki

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Sasaki. A scholar is included among the top collaborators of David M. Sasaki 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 David M. Sasaki. David M. Sasaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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