E. G. Campos

32 total papers · 684 total citations
25 papers, 563 citations indexed

About

E. G. Campos is a scholar working on Genetics, Parasitology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, E. G. Campos has authored 25 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 8 papers in Parasitology and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in E. G. Campos's work include Yersinia bacterium, plague, ectoparasites research (10 papers), Vector-borne infectious diseases (7 papers) and Insect and Pesticide Research (6 papers). E. G. Campos is often cited by papers focused on Yersinia bacterium, plague, ectoparasites research (10 papers), Vector-borne infectious diseases (7 papers) and Insect and Pesticide Research (6 papers). E. G. Campos collaborates with scholars based in United States, Spain and Tanzania. E. G. Campos's co-authors include Gary O. Maupin, Joseph Piesman, Durland Fish, C M Happ, R. B. Eads, D. B. Francy, Allan M. Barnes, Robert G. McLean, D. A. Eliason and Chester G. Moore and has published in prestigious journals such as American Journal of Epidemiology, Journal of Clinical Microbiology and The Journal of Infectious Diseases.

In The Last Decade

E. G. Campos

25 papers receiving 512 citations

Author Peers

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

Author						Papers	Cites
E. G. Campos	370	365	208	146	126	25	563
James M. Battisti	550 1.5×	380 1.0×	156 0.8×	94 0.6×	111 0.9×	25	691
Magda M. Abbassy	394 1.1×	345 0.9×	173 0.8×	84 0.6×	134 1.1×	20	536
Eliane Esteves	467 1.3×	218 0.6×	98 0.5×	263 1.8×	186 1.5×	26	690
Qiu-Min Zhao	369 1.0×	491 1.3×	246 1.2×	131 0.9×	156 1.2×	37	612
Minerva Camacho-Nuez	250 0.7×	359 1.0×	151 0.7×	105 0.7×	140 1.1×	31	612
Daniel E. Szumlas	394 1.1×	373 1.0×	263 1.3×	142 1.0×	159 1.3×	22	694
Panita Tanskul	492 1.3×	301 0.8×	205 1.0×	104 0.7×	166 1.3×	23	565
Galina E. Zemtsova	572 1.5×	484 1.3×	189 0.9×	105 0.7×	220 1.7×	20	644
J Nosek	388 1.0×	385 1.1×	206 1.0×	124 0.8×	246 2.0×	68	617
Marinete Amorim	458 1.2×	376 1.0×	178 0.9×	104 0.7×	181 1.4×	53	572

Countries citing papers authored by E. G. Campos

Since Specialization

Citations

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

Fields of papers citing papers by E. G. Campos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. G. Campos. 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 E. G. Campos. The network helps show where E. G. Campos may publish in the future.

Co-authorship network of co-authors of E. G. Campos

This figure shows the co-authorship network connecting the top 25 collaborators of E. G. Campos. A scholar is included among the top collaborators of E. G. Campos 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 E. G. Campos. E. G. Campos 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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