Gary W. Cushing

685 citations
10 papers · 519 · h-index 9

Impact in

Papers in

Gary W. Cushing

10 papers receiving 485 citations

Peers

Gary W. Cushing
Comparison fields: 5 of 68
  • Endocrinology, Diabetes and Metabolism 328
  • Geriatrics and Gerontology 34
  • Family Practice 16
  • Pathology and Forensic Medicine 71
  • Cancer Research 32
Replace Joanna Waligórska‐Stachura with:
Joanna Waligórska‐Stachura Poland
Akira Kurozumi Japan
Domingo Rodriguez United States
Aimee J. Varewijck Netherlands
Shirley Blaichman Canada
Eulàlia Urgell Spain
Yu-Hsia Kuo Taiwan
Takahisa Kobayashi Japan
Margret Ehlers Germany
Bozena Krolewski United States
Gary W. Cushing relative to Joanna Waligórska‐Stachura Poland Joanna Waligórska‐Stachura's profile →
Citations per field
00.5×1.5×2.3×
Joanna Waligórska‐Stachura · 1×
Citations per year

Countries citing papers authored by Gary W. Cushing

Since Specialization
Citations

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

Fields of papers citing papers by Gary W. Cushing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary W. Cushing. 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 Gary W. Cushing. The network helps show where Gary W. Cushing may publish in the future.

Co-authors

The 23 scholars most cited alongside Gary W. Cushing, 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 Gary W. Cushing Line = papers co-authored together Gary W. Cushing links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1986268
2 201276
3 199349
4 200035
5 199529
6 198621
7 199313
8 198712
9 201511
10 19785

About Gary W. Cushing

Gary W. Cushing is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Genetics and Pathology and Forensic Medicine, having authored 10 papers that have together received 519 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (3 papers), Pituitary Gland Disorders and Treatments (2 papers), Thyroid Disorders and Treatments (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Digestive system and related health (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Cardiac tumors and thrombi (1 paper) and Meningioma and schwannoma management (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (328 citations), Geriatrics and Gerontology (34 citations), Family Practice (16 citations), Pathology and Forensic Medicine (71 citations) and Cancer Research (32 citations). Gary W. Cushing has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include Sidney H. Ingbar, Donatella Tramontano, Alan C. Moses, Gary Tataronis, Mary G. Amato, Suzanne M. Slonim, Hani A. Haykal, Stephen R. Freidberg, John A. Libertino and Gerald J. Heatley. Their work appears in journals such as Endocrinology, Journal of the American Pharmacists Association, Thyroid, The American Journal of the Medical Sciences and Neuroradiology.

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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