Roy E. Weiss

11.9k citations
194 papers · 8.0k · h-index 51

Impact in

Papers in

Roy E. Weiss

189 papers receiving 7.8k citations

Peers

Roy E. Weiss
Comparison fields: 5 of 148
  • Endocrinology, Diabetes and Metabolism 5.2k
  • Endocrine and Autonomic Systems 577
  • Genetics 1.6k
  • Reproductive Medicine 317
  • Molecular Biology 2.3k
Replace Michael J. Waters with:
Michael J. Waters Australia
Vincent Goffin France
Graham R. Williams United Kingdom
Olle Isaksson Sweden
Jan Törnell Sweden
Ze’ev Hochberg Israel
Haim Werner Israel
Shoshana Yakar United States
A. Joseph D’Ercole United States
Victor K. M. Han Canada
Roy E. Weiss relative to Michael J. Waters Australia Michael J. Waters's profile →
Citations per field
00.5×1.6×
Michael J. Waters · 1×
Citations per year

Countries citing papers authored by Roy E. Weiss

Since Specialization
Citations

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

Fields of papers citing papers by Roy E. Weiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 194 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005278
2 2006260
3 2013255
4 2013239
5 2001208
6 2000184
7 1981166
8 2013163
9 1999149
10 1998147
11 2010142
12 2002140
13 2007126
14 1993116
15 2002116
16 1980115
17 1980109
18 2012102
19 2003101
20 201197

About Roy E. Weiss

Roy E. Weiss is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Surgery and Pediatrics, Perinatology and Child Health, having authored 194 papers that have together received 8.0k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (117 papers), Growth Hormone and Insulin-like Growth Factors (78 papers), Estrogen and related hormone effects (23 papers), Pituitary Gland Disorders and Treatments (17 papers), Thyroid Cancer Diagnosis and Treatment (15 papers), Genetics and Neurodevelopmental Disorders (13 papers), Hormonal Regulation and Hypertension (12 papers) and Neonatal Health and Biochemistry (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (5.2k citations), Endocrine and Autonomic Systems (577 citations), Genetics (1.6k citations), Reproductive Medicine (317 citations) and Molecular Biology (2.3k citations). Roy E. Weiss has collaborated with scholars based in United States, France and Belgium. Frequent co-authors include Samuel Refetoff, A. Hari Reddi, Alexandra M. Dumitrescu, Xiao-Hui Liao, Jessica Hwang, Joachim Pohlenz, Caterina Di Cosmo, Yoshitaka Hayashi, Mark A. Stein and Jacques Samarut. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Thyroid, Endocrinology, Molecular Endocrinology and Journal of Clinical Investigation.

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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