Paul Nguewa

117 total papers · 2.1k total citations
80 papers, 1.6k citations indexed

About

Paul Nguewa is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology and Epidemiology. According to data from OpenAlex, Paul Nguewa has authored 80 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Public Health, Environmental and Occupational Health, 24 papers in Molecular Biology and 20 papers in Epidemiology. Recurrent topics in Paul Nguewa's work include Research on Leishmaniasis Studies (38 papers), Trypanosoma species research and implications (15 papers) and Toxoplasma gondii Research Studies (6 papers). Paul Nguewa is often cited by papers focused on Research on Leishmaniasis Studies (38 papers), Trypanosoma species research and implications (15 papers) and Toxoplasma gondii Research Studies (6 papers). Paul Nguewa collaborates with scholars based in Spain, Iran and United States. Paul Nguewa's co-authors include Miguel A. Fuertes, Carlos Alonso‐Moreno, Alfonso Calvo, Carmen Sanmartín, José M. Pérez, Socorro Espuelas, Basilio Valladares, Esther Moreno, Celia Fernández-Rubio and Juan Antonio Palop and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Paul Nguewa

78 papers receiving 1.6k citations

Author Peers

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

Author						Papers	Cites
Paul Nguewa	575	510	322	305	266	80	1.6k
Mariano Zalis	266 0.5×	946 1.9×	249 0.8×	275 0.9×	252 0.9×	75	1.7k
Leonardo Freire‐de‐Lima	770 1.3×	445 0.9×	602 1.9×	207 0.7×	260 1.0×	75	1.8k
Kailash C. Pandey	722 1.3×	1.1k 2.2×	372 1.2×	194 0.6×	332 1.2×	90	2.2k
Zachary B. Mackey	1.1k 2.0×	561 1.1×	632 2.0×	465 1.5×	381 1.4×	37	2.1k
Santu Bandyopadhyay	657 1.1×	681 1.3×	444 1.4×	136 0.4×	255 1.0×	57	2.0k
Brad E. Sleebs	785 1.4×	692 1.4×	233 0.7×	176 0.6×	402 1.5×	86	2.0k
Maíra Galdino da Rocha Pitta	624 1.1×	305 0.6×	258 0.8×	216 0.7×	221 0.8×	134	2.2k
Robert T. Jacobs	756 1.3×	410 0.8×	512 1.6×	207 0.7×	620 2.3×	43	1.9k
Cássio Santana Meira	433 0.8×	288 0.6×	343 1.1×	117 0.4×	378 1.4×	72	1.3k
Annarita Fiorillo	557 1.0×	573 1.1×	451 1.4×	143 0.5×	360 1.4×	49	1.4k

Countries citing papers authored by Paul Nguewa

Since Specialization

Citations

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

Fields of papers citing papers by Paul Nguewa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Nguewa. 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 Paul Nguewa. The network helps show where Paul Nguewa may publish in the future.

Co-authorship network of co-authors of Paul Nguewa

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Nguewa. A scholar is included among the top collaborators of Paul Nguewa 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 Paul Nguewa. Paul Nguewa 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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