Eric M. Guantai

58 total papers · 914 total citations
26 papers, 714 citations indexed

About

Eric M. Guantai is a scholar working on Public Health, Environmental and Occupational Health, Computational Theory and Mathematics and Geriatrics and Gerontology. According to data from OpenAlex, Eric M. Guantai has authored 26 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Public Health, Environmental and Occupational Health, 6 papers in Computational Theory and Mathematics and 5 papers in Geriatrics and Gerontology. Recurrent topics in Eric M. Guantai's work include Malaria Research and Control (10 papers), Computational Drug Discovery Methods (6 papers) and Pharmaceutical Practices and Patient Outcomes (5 papers). Eric M. Guantai is often cited by papers focused on Malaria Research and Control (10 papers), Computational Drug Discovery Methods (6 papers) and Pharmaceutical Practices and Patient Outcomes (5 papers). Eric M. Guantai collaborates with scholars based in Kenya, South Africa and United States. Eric M. Guantai's co-authors include Kelly Chibale, Peter J. Smith, Jiří Gut, Philip J. Rosenthal, Timothy J. Egan, Kanyile K. Ncokazi, Kelly Chibale, Carmen Lategan, Scott G. Franzblau and Baojie Wan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Medicinal Chemistry.

In The Last Decade

Eric M. Guantai

23 papers receiving 699 citations

Author Peers

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

Author Last Decade Papers Cites
Eric M. Guantai 400 185 170 109 90 26 714
Sandeep Sundriyal 223 0.6× 117 0.6× 420 2.5× 95 0.9× 74 0.8× 40 795
Christine Latour 331 0.8× 288 1.6× 152 0.9× 88 0.8× 59 0.7× 23 746
Vishnu Nayak Badavath 375 0.9× 52 0.3× 231 1.4× 150 1.4× 80 0.9× 50 808
Kylie A. McIntosh 202 0.5× 363 2.0× 189 1.1× 162 1.5× 74 0.8× 7 746
William Castro 402 1.0× 337 1.8× 178 1.0× 98 0.9× 76 0.8× 25 908
Antonella Peduto 342 0.9× 53 0.3× 288 1.7× 25 0.2× 67 0.7× 29 864
Maywan Hariono 177 0.4× 67 0.4× 165 1.0× 162 1.5× 35 0.4× 46 671
Aysun Çapcı 357 0.9× 171 0.9× 339 2.0× 73 0.7× 106 1.2× 19 747
Oluwakemi Ebenezer 486 1.2× 32 0.2× 302 1.8× 100 0.9× 88 1.0× 43 874
Sunny Manohar 458 1.1× 166 0.9× 194 1.1× 104 1.0× 94 1.0× 21 679

Countries citing papers authored by Eric M. Guantai

Since Specialization
Citations

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

Fields of papers citing papers by Eric M. Guantai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric M. Guantai

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