John Kamerud

1.9k citations
17 papers · 927 · h-index 9

Impact in

Papers in

John Kamerud

16 papers receiving 891 citations

Peers

John Kamerud
Comparison fields: 5 of 101
  • Pathology and Forensic Medicine 379
  • Orthopedics and Sports Medicine 117
  • Immunology 238
  • Nutrition and Dietetics 139
  • Radiology, Nuclear Medicine and Imaging 197
Replace Marcel J.W. Janssen with:
Marcel J.W. Janssen Netherlands
Sanhong Yu United States
Simone D. Holligan Canada
R. Shainkin-Kestenbaum Israel
Joanna Katarzyna Strzelczyk Poland
Lieying Fan China
Şükrü Palanduz Türkiye
Jérôme Guechot France
Jacek Michałkiewicz Poland
Mitsunori Ikeda Japan
John Kamerud relative to Marcel J.W. Janssen Netherlands Marcel J.W. Janssen's profile →
Citations per field
00.5×10.4×
Marcel J.W. Janssen · 1×
Citations per year

Countries citing papers authored by John Kamerud

Since Specialization
Citations

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

Fields of papers citing papers by John Kamerud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1993382
2 2011195
3 1996117
4 202248
5 201347
6 201740
7 198837
8 201816
9 199815
10 19868
11 20215
12 20204
13 20194
14 20204
15 20183
16 20192
17 20210

About John Kamerud

John Kamerud is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Molecular Biology, Oncology and Genetics, having authored 17 papers that have together received 927 indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (11 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Protein purification and stability (4 papers), Advanced Biosensing Techniques and Applications (4 papers), CAR-T cell therapy research (3 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Computational Drug Discovery Methods (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (379 citations), Orthopedics and Sports Medicine (117 citations), Immunology (238 citations), Nutrition and Dietetics (139 citations) and Radiology, Nuclear Medicine and Imaging (197 citations). John Kamerud has collaborated with scholars based in United States, Switzerland and Sweden. Frequent co-authors include Joseph L. Napoli, B W Hollis, J Lorenz, Lindsay E. King, Ago Ahene, Jihong Yang, Marian Kelley, Jean‐François Beaulieu, Bruce W. Hollis and Hossein Salimi-Moosavi. Their work appears in journals such as The AAPS Journal, Clinical Chemistry, Bioanalysis, Molecular Therapy — Methods & Clinical Development 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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