William Singer

5.4k citations
84 papers · 4.0k indexed · h-index 37

William Singer

82 papers receiving 3.7k citations

Peers

William Singer
Comparison fields: 5 of 132
  • Endocrinology, Diabetes and Metabolism 1.8k
  • Genetics 383
  • Nutrition and Dietetics 546
  • Behavioral Neuroscience 125
  • Physiology 873
Replace Christian L. Roth with:
Christian L. Roth United States
Antony Vinh Australia
Yves Deshaies Canada
Frances J. Hayes United States
Nachum Vaisman Israel
Hong Ji United States
Ursula Turpeinen Finland
Yanfei Qi China
Yanbin Dong United States
Christa Thöne‐Reineke Germany
William Singer relative to Christian L. Roth United States Christian L. Roth's profile →
Citations per field
00.5×1.5×1.8×
Christian L. Roth · 1×
Citations per year

Countries citing papers authored by William Singer

Since Specialization
Citations

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

Fields of papers citing papers by William Singer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20233
3 201236
4 20069
5 2005178
6 199930
7 199914
8 199825
9 19952
10 19923
11 19921
12 199011
13 199051
14 1989358
15 198648
16 198445
17 19823
18 198245
19 198083
20 198011

About William Singer

William Singer is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Psychiatry and Mental health, having authored 84 papers that have together received 4.0k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (24 papers), Growth Hormone and Insulin-like Growth Factors (13 papers), Adrenal and Paraganglionic Tumors (11 papers), Nutritional Studies and Diet (9 papers), Diet and metabolism studies (6 papers), Phytoestrogen effects and research (6 papers), Epilepsy research and treatment (6 papers) and Adrenal Hormones and Disorders (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.8k citations), Genetics (383 citations) and Nutrition and Dietetics (546 citations). William Singer has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Éva Horváth, Kálmán Kovács, Harley S. Smyth, David J.A. Jenkins, Russell T. Joffe, Robert G. Josse, L. Sylvia, Cyril W.C. Kendall, Dorothea Faulkner and D.W. Killinger. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrine Pathology, The Journal of Pediatrics, The Journal of Urology and European Journal of Clinical Nutrition.

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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