James C. Pearson

623 citations
21 papers · 541 · h-index 9

Impact in

Papers in

James C. Pearson

20 papers receiving 484 citations

Peers

James C. Pearson
Comparison fields: 5 of 104
  • Radiology, Nuclear Medicine and Imaging 155
  • Molecular Biology 346
  • Biotechnology 31
  • Spectroscopy 48
  • Dermatology 23
Replace Sujit K. Basu with:
Sujit K. Basu United States
Susan Hershenson United States
Antti Iitiä Finland
Jun Yeul Lim South Korea
Barbara J. Allan United States
Amalia Muñoz Belgium
Steve J. Lackie Japan
H. Brown Australia
Jonas L. Fast United States
Manohar Katakam United States
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Citations per field
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Sujit K. Basu · 1×
Citations per year

Countries citing papers authored by James C. Pearson

Since Specialization
Citations

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

Fields of papers citing papers by James C. Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside James C. Pearson, 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 James C. Pearson Line = papers co-authored together James C. Pearson 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 1984150
2 198690
3 200073
4 198772
5 198645
6 199626
7 200321
8 198915
9 19959
10
Statistical Methods in Environmental Health
19938
11 19858
12 19774
13 19953
14 19833
15 19813
16 19963
17
Social control in the treatment of adolescents in residential care: a dilemma.
19752
18 19862
19 20022
20 19901

About James C. Pearson

James C. Pearson is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiological and Ultrasound Technology, Molecular Biology, Medical Laboratory Technology and Pharmacy, having authored 21 papers that have together received 541 indexed citations. Recurring topics across this work include Protein purification and stability (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Occupational Health and Safety Research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), High-Velocity Impact and Material Behavior (2 papers), Cutaneous Melanoma Detection and Management (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Hearing, Cochlea, Tinnitus, Genetics (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (155 citations), Molecular Biology (346 citations), Biotechnology (31 citations), Spectroscopy (48 citations) and Dermatology (23 citations). James C. Pearson has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Christopher Robin Lowe, Steven J. Burton, Yannis D. Clonis, William S. Wood, Mark Elwood, Richard P. Gallagher, Jonathan S. Nguyen‐Van‐Tam, George C. Vradis, Svend Ludvigsen and Kim R. Hejnæs. Their work appears in journals such as Journal of Engineering Mechanics, Public Health, Vaccine, JNCI Journal of the National Cancer Institute and Occupational 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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