Jonathan M. Keller

1.3k citations
24 papers · 1.1k · h-index 13

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

Jonathan M. Keller

24 papers receiving 1.1k citations

Peers

Jonathan M. Keller
Comparison fields: 5 of 105
  • Hematology 190
  • Genetics 149
  • Pathology and Forensic Medicine 155
  • Immunology 176
  • Oncology 202
Replace Shai O. Shimony with:
Shai O. Shimony United States
Gary J. Vanasse United States
Jodi A. Morrison Canada
Gudrun Pohl Austria
J. Blake Marriott United Kingdom
Paul Brent Ferrell United States
Chris S.R Hatton United Kingdom
Nobuo Nara Japan
Teresa Caballero‐Velázquez Spain
Hsi‐Che Liu Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan M. Keller

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan M. Keller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonathan M. Keller, 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 M. Keller Line = papers co-authored together Jonathan M. Keller 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 2014324
2 2013177
3 2014166
4 201364
5 201555
6 201653
7 201341
8 201839
9 201231
10 201920
11 201820
12 201919
13 201917
14 20168
15 20197
16 20206
17 20186
18 20136
19 20195
20 20164

About Jonathan M. Keller

Jonathan M. Keller is a scholar working on Emergency Medicine, Physiology, Immunology, Cancer Research and Oncology, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Simulation-Based Education in Healthcare (4 papers), CAR-T cell therapy research (2 papers), Cell death mechanisms and regulation (2 papers), Toxin Mechanisms and Immunotoxins (2 papers), Protein Degradation and Inhibitors (2 papers), 3D Printing in Biomedical Research (2 papers), Lymphoma Diagnosis and Treatment (2 papers) and Hospital Admissions and Outcomes (2 papers). The work is most often cited by research in Hematology (190 citations), Genetics (149 citations), Pathology and Forensic Medicine (155 citations), Immunology (176 citations) and Oncology (202 citations). Jonathan M. Keller has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Marc Ferrer, Christina M. Surawicz, Craig J. Thomas, Rajarshi Guha, Noel T Southall, Lesley Mathews, Lesley A. Mathews Griner, Levi J. Beverly, Paul Shinn and Mark Wunderlich. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Proceedings of the National Academy of Sciences, PLoS ONE, SLAS DISCOVERY and Frontiers in Physiology.

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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