Jay K. Harness

4.7k citations
58 papers · 2.6k indexed · h-index 29

Impact in

Papers in

Jay K. Harness

56 papers receiving 2.4k citations

Peers

Jay K. Harness
Comparison fields: 5 of 109
  • Nephrology 334
  • Endocrinology, Diabetes and Metabolism 643
  • Cancer Research 537
  • Pathology and Forensic Medicine 610
  • Surgery 1.1k
Replace Philip I. Haigh with:
Philip I. Haigh United States
Nicola Avenia Italy
Miin‐Fu Chen Taiwan
Melanie Goldfarb United States
Dario Casara Italy
Hang‐Seok Chang South Korea
Jean Pierre Daurès France
Edgar D. Staren United States
Diana Zannino Australia
Frederick L. Greene United States
Jay K. Harness relative to Philip I. Haigh United States Philip I. Haigh's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jay K. Harness

Since Specialization
Citations

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

Fields of papers citing papers by Jay K. Harness

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay K. Harness. 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 Jay K. Harness. The network helps show where Jay K. Harness may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20194
2 20176
3 201711
4 201694
5 201680
6 201628
7 201435
8 201319
9 20129
10 2011167
11 201044
12 200654
13 200439
14 200436
15 200290
16 19980
17 19965
18 199561
19 199322
20 1974113

About Jay K. Harness

Jay K. Harness is a scholar working on Cancer Research, Pathology and Forensic Medicine, Anatomy, Endocrinology, Diabetes and Metabolism and Oncology, having authored 58 papers that have together received 2.6k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (17 papers), Breast Lesions and Carcinomas (14 papers), Breast Implant and Reconstruction (9 papers), Thyroid Cancer Diagnosis and Treatment (9 papers), BRCA gene mutations in cancer (5 papers), Pancreatic and Hepatic Oncology Research (5 papers), Reconstructive Surgery and Microvascular Techniques (5 papers) and Body Image and Dysmorphia Studies (4 papers). The work is most often cited by research in Nephrology (334 citations), Endocrinology, Diabetes and Metabolism (643 citations), Cancer Research (537 citations), Pathology and Forensic Medicine (610 citations) and Surgery (1.1k citations). Jay K. Harness has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Norman W. Thompson, Michael K. McLeod, F. E. Eckhauser, N W Thompson, Arthur H. Salibian, Richard E. Burney, Donald S. Mowlds, Ronald H. Nishiyama, Claude H. Organ and Julian A. Kim. Their work appears in journals such as World Journal of Surgery, The American Journal of Surgery, Annals of Surgical Oncology, Plastic & Reconstructive Surgery 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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