John C. Coffman

450 citations
21 papers · 308 · h-index 7

Impact in

    • Virus-based gene therapy research
    • CAR-T cell therapy research

Papers in

John C. Coffman

18 papers receiving 302 citations

Peers

John C. Coffman
Comparison fields: 5 of 57
  • Genetics 171
  • Oncology 96
  • Hematology 32
  • Molecular Biology 173
  • Genetics 26
Replace Aisling M. Flinn with:
Aisling M. Flinn United Kingdom
Yoshiko Goto Japan
Andrea Kelly United States
Alice Ciocca France
Erika Biral Italy
Vilma Carolina Bekker‐Méndez Mexico
Erin Cooney United States
Hannelore Kern Austria
Jon van Rood Netherlands
Saliha Esenboğa Türkiye
John C. Coffman relative to Aisling M. Flinn United Kingdom Aisling M. Flinn's profile →
Citations per field
00.5×3.6×
Aisling M. Flinn · 1×
Citations per year

Countries citing papers authored by John C. Coffman

Since Specialization
Citations

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

Fields of papers citing papers by John C. Coffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000213
2 201715
3 202114
4 20169
5 20188
6
Hemostasis and bleeding disorders.
19808
7 20157
8 20205
9 20205
10 20175
11 20164
12 20224
13 20173
14 20173
15 20212
16 20241
17 20181
18 19741
19 20240
20 20210

About John C. Coffman

John C. Coffman is a scholar working on Surgery, Public Health, Environmental and Occupational Health, Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health and Pathology and Forensic Medicine, having authored 21 papers that have together received 308 indexed citations. Recurring topics across this work include Anesthesia and Pain Management (10 papers), Spine and Intervertebral Disc Pathology (3 papers), Prenatal Substance Exposure Effects (3 papers), Opioid Use Disorder Treatment (3 papers), Pregnancy-related medical research (3 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Nausea and vomiting management (3 papers) and Shoulder Injury and Treatment (2 papers). The work is most often cited by research in Genetics (171 citations), Oncology (96 citations), Hematology (32 citations), Molecular Biology (173 citations) and Genetics (26 citations). John C. Coffman has collaborated with scholars based in United States, Thailand and Italy. Frequent co-authors include Rafat Abonour, David A. Williams, Lawrence H. Einhorn, Michael J. Robertson, Jun Chen, Edward F. Srour, Arthur Bank, Stephen D. Williams, Kenneth Cornetta and Franklin O. Smith. Their work appears in journals such as Journal of Pain Research, International Journal of Obstetric Anesthesia, Nature Medicine, Medicine and Anesthesiology.

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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