Jonathan Freeman

23 papers receiving 371 citations

Peers

Jonathan Freeman
Comparison fields: 5 of 67
  • Transplantation 30
  • Public Health, Environmental and Occupational Health 147
  • Infectious Diseases 89
  • Modeling and Simulation 19
  • Nephrology 20
Replace Mehdi Shahbazi with:
Mehdi Shahbazi Iran
Ana Esteve‐Solé Spain
C. Cordonnier France
Stanley de Almeida Araújo Brazil
Aining Sun China
Ian Gourley United States
Hiroshi Hatayama Japan
F Schooneman France
G. M. Stirrat United Kingdom
AJ Cant United Kingdom
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Citations per field
00.5×3.8×
Mehdi Shahbazi · 1×
Citations per year

Countries citing papers authored by Jonathan Freeman

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Freeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonathan Freeman, 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 Jonathan Freeman Line = papers co-authored together Jonathan Freeman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000125
2 197340
3 199735
4 200131
5 200628
6 199920
7 201015
8 199913
9 199912
10 202111
11 20089
12 20119
13 20039
14 20008
15 20048
16 20016
17 20154
18 20123
19 20131
20 20101

About Jonathan Freeman

Jonathan Freeman is a scholar working on Infectious Diseases, Surgery, Pathology and Forensic Medicine, Oncology and Epidemiology, having authored 24 papers that have together received 391 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (4 papers), Renal Transplantation Outcomes and Treatments (3 papers), Renal Diseases and Glomerulopathies (3 papers), Cardiac tumors and thrombi (3 papers), Pharmacological Effects and Toxicity Studies (2 papers), Oral and gingival health research (2 papers), Complement system in diseases (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Transplantation (30 citations), Public Health, Environmental and Occupational Health (147 citations), Infectious Diseases (89 citations), Modeling and Simulation (19 citations) and Nephrology (20 citations). Jonathan Freeman has collaborated with scholars based in United States, Switzerland and Brazil. Frequent co-authors include Josh Hodgson, Andrew Spielman, Ricardo José Soares Pontes, Gregory L. Braden, K. J. Kwon-Chung, Nathaniel A. Young, George S. Lipkowitz, Robert L. Madden, Robert P. Hasserjian and Rania M. Seliem. Their work appears in journals such as American Journal of Clinical Pathology, Transplant International, American Journal of Tropical Medicine and Hygiene, Clinical Kidney Journal and The Journal of Experimental Medicine.

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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