John D. Malone

52 papers receiving 1.6k citations

John D. Malone's Hit Papers

Wastewater sequencing reveals early cryptic SARS-CoV-2 variant transmission 2022 · 333 citations
3330+1+2Years since publication100200300

Peers

John D. Malone
Comparison fields: 5 of 139
  • Infectious Diseases 492
  • Virology 83
  • Modeling and Simulation 48
  • Orthopedics and Sports Medicine 78
  • Molecular Biology 634
Replace Jennifer L. Bishop with:
Jennifer L. Bishop Canada
Alessandra Sacchi Italy
Hanna Jarva Finland
Dirk de Jong Netherlands
Sterghios Athanasios Moschos United Kingdom
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Citations per year

Countries citing papers authored by John D. Malone

Since Specialization
Citations

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

Fields of papers citing papers by John D. Malone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John D. Malone, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John D. Malone Line = papers co-authored together John D. Malone links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Wastewater sequencing reveals early cryptic SARS-CoV-2 variant transmission
Hit paper breakdown →
2022333
2 1982238
3 1998148
4 200384
5 199176
6
Bioterrorism Readiness Plan: A Template for Healthcare Facilities
199953
7
Mononuclear phagocytes osteoclasts and bone resorption
198150
8 199346
9 202045
10 198143
11 199342
12 200938
13 199238
14 198837
15 198632
16 199130
17 199529
18 201629
19 200425
20 199125

About John D. Malone

John D. Malone is a scholar working on Infectious Diseases, Virology, Public Health, Environmental and Occupational Health, Hepatology and Modeling and Simulation, having authored 52 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bone health and treatments (6 papers), Bacillus and Francisella bacterial research (6 papers), HIV Research and Treatment (5 papers), Viral Infections and Outbreaks Research (5 papers), Bone Metabolism and Diseases (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 epidemiological studies (3 papers) and Disaster Response and Management (3 papers). The work is most often cited by research in Infectious Diseases (492 citations), Virology (83 citations), Modeling and Simulation (48 citations), Orthopedics and Sports Medicine (78 citations) and Molecular Biology (634 citations). John D. Malone has collaborated with scholars based in United States, Australia and Mexico. Frequent co-authors include Steven L. Teitelbaum, A. J. Kahn, Gail L. Griffin, Robert M. Senior, Arthur M. Friedlander, Edward M. Eitzen, James C. Pile, Kenneth Craig Hyams, Michael Richards and Richard E. Hawkins. Their work appears in journals such as The Journal of Infectious Diseases, Biochemical and Biophysical Research Communications, Australian & New Zealand Journal of Psychiatry, JAIDS Journal of Acquired Immune Deficiency Syndromes and Journal of Biological Chemistry.

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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