John H. Huber

57 total papers · 768 total citations
21 papers, 263 citations indexed

About

John H. Huber is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, John H. Huber has authored 21 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Public Health, Environmental and Occupational Health, 5 papers in Modeling and Simulation and 4 papers in Infectious Diseases. Recurrent topics in John H. Huber's work include Mosquito-borne diseases and control (9 papers), Malaria Research and Control (7 papers) and COVID-19 epidemiological studies (5 papers). John H. Huber is often cited by papers focused on Mosquito-borne diseases and control (9 papers), Malaria Research and Control (7 papers) and COVID-19 epidemiological studies (5 papers). John H. Huber collaborates with scholars based in United States, Netherlands and United Kingdom. John H. Huber's co-authors include Marissa L. Childs, Jamie M. Caldwell, Erin A. Mordecai, T. Alex Perkins, Amir Siraj, Rachel J. Oidtman, Moritz U. G. Kraemer, Oliver J. Brady, Michael A. Johansson and A Jansz and has published in prestigious journals such as The Lancet, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

John H. Huber

18 papers receiving 255 citations

Author Peers

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

Author Last Decade Papers Cites
John H. Huber 192 106 61 27 21 21 263
Sally Lam 221 1.2× 161 1.5× 28 0.5× 11 0.4× 21 1.0× 12 270
Maria J. Vargas-Brochero 250 1.3× 203 1.9× 28 0.5× 12 0.4× 19 0.9× 19 305
Rebecca Dunning 225 1.2× 178 1.7× 23 0.4× 37 1.4× 26 1.2× 10 325
Lingzhai Zhao 230 1.2× 228 2.2× 16 0.3× 20 0.7× 28 1.3× 19 304
L. K. H. Goma 280 1.5× 201 1.9× 41 0.7× 11 0.4× 36 1.7× 14 318
Alexandra Rockstroh 179 0.9× 204 1.9× 12 0.2× 16 0.6× 26 1.2× 16 256
Julia C. Pringle 225 1.2× 20 0.2× 24 0.4× 37 1.4× 9 0.4× 14 283
Li Kiang Tan 219 1.1× 169 1.6× 29 0.5× 44 1.6× 18 0.9× 18 306
Jennifer Kwan 230 1.2× 195 1.8× 44 0.7× 22 0.8× 13 0.6× 18 309
Izabel Cristina dos Reis 196 1.0× 79 0.7× 36 0.6× 4 0.1× 14 0.7× 19 275

Countries citing papers authored by John H. Huber

Since Specialization
Citations

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

Fields of papers citing papers by John H. Huber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John H. Huber

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