Pearson Mmodzi

22 total papers · 468 total citations
11 papers, 311 citations indexed

About

Pearson Mmodzi is a scholar working on Infectious Diseases, Epidemiology and Sociology and Political Science. According to data from OpenAlex, Pearson Mmodzi has authored 11 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 9 papers in Epidemiology and 7 papers in Sociology and Political Science. Recurrent topics in Pearson Mmodzi's work include HIV/AIDS Research and Interventions (10 papers), HIV, Drug Use, Sexual Risk (8 papers) and Sex work and related issues (7 papers). Pearson Mmodzi is often cited by papers focused on HIV/AIDS Research and Interventions (10 papers), HIV, Drug Use, Sexual Risk (8 papers) and Sex work and related issues (7 papers). Pearson Mmodzi collaborates with scholars based in United States, Malawi and Canada. Pearson Mmodzi's co-authors include William C. Miller, Irving Hoffman, Gift Kamanga, Myron S. Cohen, Jay S. Kaufman, Clement Mapanje, Audrey Pettifor, Lillian B. Brown, Francis Martinson and Mina C. Hosseinipour and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and JAIDS Journal of Acquired Immune Deficiency Syndromes.

In The Last Decade

Pearson Mmodzi

11 papers receiving 304 citations

Author Peers

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

Author						Papers	Cites
Pearson Mmodzi	262	232	135	129	36	11	311
Carol Major	211 0.8×	240 1.0×	103 0.8×	103 0.8×	47 1.3×	14	333
Evelyn Wallace	152 0.6×	211 0.9×	100 0.7×	84 0.7×	27 0.8×	15	343
Pramila Karki	262 1.0×	249 1.1×	115 0.9×	121 0.9×	22 0.6×	12	352
Maximilian R F King	204 0.8×	221 1.0×	96 0.7×	90 0.7×	39 1.1×	13	322
Oluwasolape Olawore	241 0.9×	183 0.8×	102 0.8×	119 0.9×	42 1.2×	19	295
Daniel R. Thompson	210 0.8×	197 0.8×	115 0.9×	84 0.7×	39 1.1×	12	324
Betty Nantume	172 0.7×	117 0.5×	119 0.9×	73 0.6×	37 1.0×	9	321
Georgina Caswell	243 0.9×	130 0.6×	169 1.3×	92 0.7×	24 0.7×	14	307
Sarah Nakamanya	227 0.9×	159 0.7×	157 1.2×	122 0.9×	32 0.9×	18	355
Johnny Tohme	202 0.8×	159 0.7×	98 0.7×	112 0.9×	20 0.6×	11	294

Countries citing papers authored by Pearson Mmodzi

Since Specialization

Citations

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

Fields of papers citing papers by Pearson Mmodzi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pearson Mmodzi

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