Jon Kuniyoshi

1.1k citations
11 papers · 924 · h-index 10

Impact in

Papers in

Jon Kuniyoshi

11 papers receiving 892 citations

Peers

Jon Kuniyoshi
Comparison fields: 5 of 67
  • Immunology 460
  • Endocrinology, Diabetes and Metabolism 245
  • Transplantation 18
  • Oncology 179
  • Nutrition and Dietetics 87
Replace Marc Feldmann with:
Marc Feldmann United Kingdom
J Picard United Kingdom
Guillermo Arreaza Canada
J P Reeves United States
Tamar E. Boursalian United States
Deborah D. Glass United States
Maria Hinterberger Germany
Pratima Bansal‐Pakala United States
E K Gao United States
Yi-chi M. Kong United States
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Citations per field
00.5×7.9×
Marc Feldmann · 1×
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

11 of 11 papers shown
#Work
1 1989273
2 2001188
3 2001131
4
A Mr 46,000 human milk fat globule protein that is highly expressed in human breast tumors contains factor VIII-like domains.
1991103
5 199983
6 199447
7 199441
8 200521
9 199420
10 199516
11
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, Transplantation and Molecular Biology, having authored 11 papers that have together received 924 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), Transplantation: Methods and Outcomes (2 papers), Organ Transplantation Techniques and Outcomes (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Immunology (460 citations), Endocrinology, Diabetes and Metabolism (245 citations), Transplantation (18 citations), Oncology (179 citations) and Nutrition and Dietetics (87 citations). Jon Kuniyoshi has collaborated with scholars based in United States, Philippines and Germany. Frequent co-authors include Frank Talamantes, William C. Smith, Jeffrey S. Weber, Roy Lau, Elizabeth Bade, Abraham Shaked, Roberto Ceriani, Jerry A. Peterson, David LaRocca and Carol Gee. Their work appears in journals such as Transplantation, Journal of Neurochemistry, Journal of Clinical Oncology, Journal of Immunotherapy and Cellular Immunology.

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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