Jon Kuniyoshi

1.1k citations
13 papers · 969 · h-index 10

Impact in

Papers in

Jon Kuniyoshi

13 papers receiving 919 citations

Peers

Jon Kuniyoshi
Comparison fields: 5 of 68
  • Immunology 484
  • Endocrinology, Diabetes and Metabolism 255
  • Transplantation 20
  • Oncology 192
  • Nutrition and Dietetics 90
Replace Marc Feldmann with:
Marc Feldmann United Kingdom
J Picard United Kingdom
Patrizia Mella Italy
Yi-chi M. Kong United States
Guillermo Arreaza Canada
J P Reeves United States
Deborah D. Glass United States
E K Gao United States
Amanda Proudfoot Switzerland
Zhongsheng Sun China
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Citations per field
00.5×2×4×6×8.2×
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Citations per year

Countries citing papers authored by Jon Kuniyoshi

Since Specialization
Citations

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

Fields of papers citing papers by Jon Kuniyoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1989286
2 2001200
3 2001137
4
A Mr 46,000 human milk fat globule protein that is highly expressed in human breast tumors contains factor VIII-like domains.
1991105
5 199989
6 199448
7 199442
8 200521
9 199420
10 199518
11 19911
12 20091
13
Intragraft cytokine and cytotoxic T lymphocyte (CTL) specific protein expression as predictors of rat small intestine transplant rejection.
19941

About Jon Kuniyoshi

Jon Kuniyoshi is a scholar working on Immunology, Nutrition and Dietetics, Surgery, Molecular Biology and Transplantation, having authored 13 papers that have together received 969 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Clinical Nutrition and Gastroenterology (4 papers), Organ and Tissue Transplantation Research (3 papers), Immunotherapy and Immune Responses (3 papers), Glycosylation and Glycoproteins Research (2 papers), Transplantation: Methods and Outcomes (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Organ Transplantation Techniques and Outcomes (1 paper). The work is most often cited by research in Immunology (484 citations), Endocrinology, Diabetes and Metabolism (255 citations), Transplantation (20 citations), Oncology (192 citations) and Nutrition and Dietetics (90 citations). Jon Kuniyoshi has collaborated with scholars based in United States, Philippines and Germany. Frequent co-authors include Frank Talamantes, William C. Smith, Roy Lau, Jeffrey S. Weber, Elizabeth Bade, Abraham Shaked, David LaRocca, Roberto Ceriani, Jerry A. Peterson and Carol Gee. Their work appears in journals such as Transplantation, Journal of Immunotherapy, Journal of Neurochemistry, Journal of Surgical Research and Journal of Clinical Oncology.

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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