M. John

35 total papers · 653 total citations
17 papers, 470 citations indexed

About

M. John is a scholar working on Infectious Diseases, Emergency Medicine and Epidemiology. According to data from OpenAlex, M. John has authored 17 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 9 papers in Emergency Medicine and 5 papers in Epidemiology. Recurrent topics in M. John's work include HIV/AIDS Research and Interventions (9 papers), HIV-related health complications and treatments (9 papers) and HIV, Drug Use, Sexual Risk (3 papers). M. John is often cited by papers focused on HIV/AIDS Research and Interventions (9 papers), HIV-related health complications and treatments (9 papers) and HIV, Drug Use, Sexual Risk (3 papers). M. John collaborates with scholars based in United States, South Africa and Germany. M. John's co-authors include C. Bradley Hare, Nancy A. Hessol, Patricia L. Hibberd, Stephen B. Calderwood, Adolf W. Karchmer, Lynn A. Sleeper, Jeffrey D. Klausner, Carina Marquez, Meredith Greene and Monica Gandhi and has published in prestigious journals such as Clinical Infectious Diseases, AIDS and Bone.

In The Last Decade

M. John

17 papers receiving 454 citations

Author Peers

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

Author						Papers	Cites
M. John	284	228	130	99	90	17	470
Diana Nurutdinova	277 1.0×	193 0.8×	118 0.9×	73 0.7×	50 0.6×	19	545
Stewart Neufeld	180 0.6×	141 0.6×	76 0.6×	137 1.4×	52 0.6×	25	534
Monica Kuteesa	290 1.0×	228 1.0×	55 0.4×	166 1.7×	71 0.8×	25	469
Sonjia Kenya	157 0.6×	143 0.6×	99 0.8×	157 1.6×	32 0.4×	33	455
Larry Baxter	180 0.6×	110 0.5×	171 1.3×	129 1.3×	71 0.8×	26	509
Gregory Patts	133 0.5×	154 0.7×	60 0.5×	67 0.7×	49 0.5×	35	461
Kimberly Findley	228 0.8×	124 0.5×	106 0.8×	102 1.0×	94 1.0×	24	446
Jean Bacon	308 1.1×	193 0.8×	111 0.9×	180 1.8×	58 0.6×	26	485
Jean‐Jacques Cheseaux	189 0.7×	193 0.8×	62 0.5×	68 0.7×	35 0.4×	18	454
Jennie T. Nickel	101 0.4×	89 0.4×	127 1.0×	114 1.2×	44 0.5×	28	442

Countries citing papers authored by M. John

Since Specialization

Citations

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

Fields of papers citing papers by M. John

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. John

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