John H. Yim

3.8k citations
79 papers · 2.6k indexed · h-index 30

Impact in

  • Nephrology top 2%
    • Parathyroid Disorders and Treatments
  • Oncology top 2%
    • Cancer Immunotherapy and Biomarkers
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Parathyroid Disorders and Treatments 10
    • Cytokine Signaling Pathways and Interactions 9
    • Cancer Immunotherapy and Biomarkers 7

John H. Yim

77 papers receiving 2.6k citations

Peers

John H. Yim
Comparison fields: 5 of 107
  • Nephrology 322
  • Oncology 1.0k
  • Cancer Research 476
  • Endocrinology, Diabetes and Metabolism 510
  • Immunology 585
Replace Hiroshi Kawachi with:
Hiroshi Kawachi Japan
Alan P.B. Dackiw United States
Antonio M. Ballesta Spain
Tatsuya Aoki Japan
Alison Joly United States
Joel Jiang United States
Elisabeth Gröne Germany
George I. Salti United States
Changgeng Ruan China
Jin Ho Paik South Korea
John H. Yim relative to Hiroshi Kawachi Japan Hiroshi Kawachi's profile →
Citations per field
00.5×4.0×
Hiroshi Kawachi · 1×
Citations per year

Countries citing papers authored by John H. Yim

Since Specialization
Citations

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

Fields of papers citing papers by John H. Yim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202446
3 202225
4 20209
5 2019125
6 20199
7 201832
8 201897
9 201637
10 201621
11 201676
12 201527
13 201115
14 201129
15 200941
16 200728
17 2007182
18 20061
19 200335
20 199778

About John H. Yim

John H. Yim is a scholar working on Nephrology, Oncology, Cancer Research, Reproductive Medicine and Immunology, having authored 79 papers that have together received 2.6k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (11 papers), Parathyroid Disorders and Treatments (10 papers), Cytokine Signaling Pathways and Interactions (9 papers), Thyroid Cancer Diagnosis and Treatment (9 papers), Thyroid and Parathyroid Surgery (8 papers), Ovarian cancer diagnosis and treatment (8 papers), interferon and immune responses (7 papers) and Cancer Immunotherapy and Biomarkers (7 papers). The work is most often cited by research in Nephrology (322 citations), Oncology (1.0k citations), Cancer Research (476 citations), Endocrinology, Diabetes and Metabolism (510 citations) and Immunology (585 citations). John H. Yim has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Sally E. Carty, Jennifer B. Ogilvie, Michael T. Stang, Peter P. Lee, Gerard M. Doherty, Wei Wen, Kelly L. McCoy, Diana L. Simons, Ernest Han and Linwah Yip. Their work appears in journals such as Surgery, Journal of Clinical Oncology, Annals of Surgical Oncology, Journal of the American College of Surgeons and World Journal of Surgery.

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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