David M. Robinson

27 total papers · 1.4k total citations
20 papers, 1.2k citations indexed

About

David M. Robinson is a scholar working on Parasitology, Infectious Diseases and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, David M. Robinson has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Parasitology, 5 papers in Infectious Diseases and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in David M. Robinson's work include Vector-borne infectious diseases (8 papers), Leptospirosis research and findings (5 papers) and Study of Mite Species (3 papers). David M. Robinson is often cited by papers focused on Vector-borne infectious diseases (8 papers), Leptospirosis research and findings (5 papers) and Study of Mite Species (3 papers). David M. Robinson collaborates with scholars based in United States and Malaysia. David M. Robinson's co-authors include Yong Bok Go, M. Greenblatt, G. Charles Dismukes, Jing Li, Graeme Gardner, Eric Garfunkel, Daniel Mastrogiovanni, Zhijuan Zhang, David L. Huxsoll and G.W. Brown and has published in prestigious journals such as Journal of the American Chemical Society, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

David M. Robinson

19 papers receiving 1.2k citations

Hit Papers

Photochemical Water Oxida... 2013 2026 2017 2021 2013 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
David M. Robinson 572 389 375 220 167 20 1.2k
Harry D. Pratt 219 0.4× 598 1.5× 315 0.8× 103 0.5× 76 0.5× 66 1.3k
Jung Hwa Kim 136 0.2× 558 1.4× 829 2.2× 271 1.2× 8 0.0× 41 1.4k
Arpita Nandy 99 0.2× 396 1.0× 47 0.1× 125 0.6× 63 0.4× 60 1.2k
Pradip Kar 88 0.2× 665 1.7× 321 0.9× 57 0.3× 93 0.6× 84 1.5k
Hao Meng 179 0.3× 185 0.5× 828 2.2× 158 0.7× 5 0.0× 63 1.4k
Rizwan Ullah 302 0.5× 154 0.4× 422 1.1× 74 0.3× 9 0.1× 49 916
Aamir Ghafoor 225 0.4× 102 0.3× 330 0.9× 36 0.2× 15 0.1× 64 1.4k
Manuel Cano 551 1.0× 625 1.6× 471 1.3× 18 0.1× 131 0.8× 64 1.5k
Yiyi Li 229 0.4× 226 0.6× 681 1.8× 46 0.2× 49 0.3× 88 1.4k
Nguyen Thi Lan 182 0.3× 224 0.6× 534 1.4× 13 0.1× 55 0.3× 94 1.3k

Countries citing papers authored by David M. Robinson

Since Specialization
Citations

This map shows the geographic impact of David M. Robinson'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. Robinson 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. Robinson more than expected).

Fields of papers citing papers by David M. Robinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Robinson. A scholar is included among the top collaborators of David M. Robinson 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. Robinson. David M. Robinson 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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