H. Guyda

10.0k citations
183 papers · 7.8k indexed · 1 hit paper · h-index 46

H. Guyda

182 papers receiving 7.1k citations

Hit Papers

A Radioimmunoassay for Human Prolactin6021971202619892007200400600

Peers

H. Guyda
Comparison fields: 5 of 151
  • Endocrinology, Diabetes and Metabolism 4.4k
  • Reproductive Medicine 803
  • Behavioral Neuroscience 308
  • Endocrine and Autonomic Systems 513
  • Pediatrics, Perinatology and Child Health 1.0k
Replace P. Reed Larsen with:
P. Reed Larsen United States
Delbert A. Fisher United States
Richard W. Furlanetto United States
Barry M. Sherman United States
A. Avinoam Kowarski United States
Kjell Carlström Sweden
E. Chester Ridgway United States
Peter C. Hindmarsh United Kingdom
George R. Merriam United States
Tommaso Simoncini Italy
H. Guyda relative to P. Reed Larsen United States P. Reed Larsen's profile →
Citations per field
00.5×1.5×2.1×
P. Reed Larsen · 1×
Citations per year

Countries citing papers authored by H. Guyda

Since Specialization
Citations

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

Fields of papers citing papers by H. Guyda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200244
2 20001
3 199986
4 19971
5 199654
6 199419
7 199421
8 199131
9 199030
10 1990220
11 19905
12
Effect of hydrocortisone on basal and apomorphine-induced growth hormone secretion in normal subjects.
19889
13 198818
14 198817
15 198827
16 19766
17
Medical Research Council of Canada therapeutic trial of human growth hormone: first 5 years of therapy.
197539
18 1975249
19 19711
20 196940

About H. Guyda

H. Guyda is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Endocrine and Autonomic Systems, having authored 183 papers that have together received 7.8k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (94 papers), Thyroid Disorders and Treatments (29 papers), Diet and metabolism studies (22 papers), Pituitary Gland Disorders and Treatments (18 papers), Sexual Differentiation and Disorders (18 papers), Metabolism, Diabetes, and Cancer (16 papers), Regulation of Appetite and Obesity (14 papers) and Stress Responses and Cortisol (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (4.4k citations), Reproductive Medicine (803 citations) and Behavioral Neuroscience (308 citations). H. Guyda has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Henry G. Friesen, Barry I. Posner, P. Hwang, Samarthji Lal, Gloria Shaffer Tannenbaum, Constantin Polychronakos, Jacques Letarte, Jean H. Dussault, John E. Tyson and W H Lai. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Pediatric Research, The Journal of Pediatrics, Endocrinology and Journal of Neural Transmission.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026