Griffith Harsh

2.7k citations
37 papers · 1.9k · 1 hit paper · h-index 18

Impact in

Papers in

Griffith Harsh

33 papers receiving 1.8k citations

Griffith Harsh's Hit Papers

Two G Protein Oncogenes in Human Endocrine Tumors 1990 · 905 citations
9050+12+24Years since publication250500750

Peers

Griffith Harsh
Comparison fields: 5 of 78
  • Endocrinology, Diabetes and Metabolism 590
  • Genetics 280
  • Rheumatology 228
  • Cancer Research 208
  • Immunology and Allergy 73
Replace Arman Jahangiri with:
Arman Jahangiri United States
Gianluigi Zona Italy
Philippe Bertolino France
Daisuke Kita Japan
Micheala A. Aldred United States
Lorin E. Olson United States
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Michael S. Kobrin United States
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Citations per year

Countries citing papers authored by Griffith Harsh

Since Specialization
Citations

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

Fields of papers citing papers by Griffith Harsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Two G Protein Oncogenes in Human Endocrine Tumors
Hit paper breakdown →
1990905
2 1990184
3 1986141
4 2012114
5 201862
6 201256
7 201746
8 200146
9 201545
10 200334
11 199931
12 200529
13 199728
14 201126
15 201725
16 201424
17 201224
18 200219
19
Effects of tumor suppressor gene (p53) on brain tumor angiogenesis and expression of angiogenic modulators.
200415
20 201715

About Griffith Harsh

Griffith Harsh is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology and Epidemiology, having authored 37 papers that have together received 1.9k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (12 papers), Pituitary Gland Disorders and Treatments (8 papers), Bone Tumor Diagnosis and Treatments (4 papers), Head and Neck Surgical Oncology (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Medical Imaging Techniques and Applications (3 papers) and Neuroblastoma Research and Treatments (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (590 citations), Genetics (280 citations), Rheumatology (228 citations), Cancer Research (208 citations) and Immunology and Allergy (73 citations). Griffith Harsh has collaborated with scholars based in United States, Italy and Saudi Arabia. Frequent co-authors include Henry R. Bourne, Frank McCormick, Claudia A. Landis, Orlo H. Clark, Ernest S. Kawasaki, Quan‐Yang Duh, Kurt Grünewald, Lucia Vallar, Hans G. Feichtinger and John F. Lyons. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Radiology, Journal of Clinical Oncology, Oncology Reviews and Journal of Biological Chemistry.

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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