John E. Phay

4.4k citations
94 papers · 3.4k · h-index 31

Impact in

Papers in

John E. Phay

90 papers receiving 3.3k citations

Peers

John E. Phay
Comparison fields: 5 of 105
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Nephrology 481
  • Surgery 1.5k
  • Cancer Research 409
  • Anatomy 21
Replace Diana Learoyd with:
Diana Learoyd Australia
Karin Frank‐Raue Germany
Jan Zedenius Sweden
Dina M. Elaraj United States
Valeriano Alberto Pais Horta Leite Portugal
Mimi I-Nan Hu United States
Salvatore Mazzeo Italy
Branca Maria Cavaco Portugal
Quan‐Yang Duh United States
Patricia Niccoli France
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Citations per field
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Citations per year

Countries citing papers authored by John E. Phay

Since Specialization
Citations

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

Fields of papers citing papers by John E. Phay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008377
2 2004247
3 2011246
4 2000180
5 2014144
6 2013138
7 2010124
8 2011100
9 201597
10 201994
11 200287
12 201776
13 201571
14 201570
15 201568
16 202056
17 201556
18 201855
19 201950
20 201144

About John E. Phay

John E. Phay is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Nephrology, Cancer Research and Oncology, having authored 94 papers that have together received 3.4k indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (23 papers), Thyroid Cancer Diagnosis and Treatment (18 papers), Parathyroid Disorders and Treatments (10 papers), Neuroendocrine Tumor Research Advances (9 papers), Thyroid and Parathyroid Surgery (7 papers), Pituitary Gland Disorders and Treatments (7 papers), Neuroblastoma Research and Treatments (5 papers) and Metabolism, Diabetes, and Cancer (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Nephrology (481 citations), Surgery (1.5k citations), Cancer Research (409 citations) and Anatomy (21 citations). John E. Phay has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Jeffrey F. Moley, Anita M. Mahadevan-Jansen, Manisha H. Shah, Lisa M. White, Victor M. Zaydfudim, Irene D. Feurer, Marie R. Griffin, Hameda B. Hussain, Lawrence A. Shirley and James T. Broome. Their work appears in journals such as Annals of Surgical Oncology, Surgery, The Journal of Clinical Endocrinology & Metabolism, Journal of the American College of Surgeons and Thyroid.

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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