J. J. Silverlight

410 citations
20 papers · 365 indexed · h-index 9

Impact in

Papers in

J. J. Silverlight

20 papers receiving 353 citations

Peers

J. J. Silverlight
Comparison fields: 5 of 71
  • Endocrinology, Diabetes and Metabolism 102
  • Reproductive Medicine 47
  • Endocrine and Autonomic Systems 34
  • Cellular and Molecular Neuroscience 78
  • Pharmacology 71
Replace B. Azzolina with:
B. Azzolina United States
Ya‐Yen Yu United States
J. P. Petrali United States
Martin Kratzmeier Germany
Allen S. Goldman United States
Audrey Aebi Switzerland
Sue McCrone United States
Jennifer Hampshire United States
Pedro J. Otaegui Spain
John J. Noonan United States
J. J. Silverlight relative to B. Azzolina United States B. Azzolina's profile →
Citations per field
00.5×4.2×
B. Azzolina · 1×
Citations per year

Countries citing papers authored by J. J. Silverlight

Since Specialization
Citations

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

Fields of papers citing papers by J. J. Silverlight

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 19 scholars most cited alongside J. J. Silverlight, 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 J. J. Silverlight Line = papers co-authored together J. J. Silverlight links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200383
2 199912
3 19948
4 199023
5
Interaction of vasopressin and oxytocin with human breast carcinoma cells.
199066
6 198948
7 19881
8 198826
9 198725
10 198719
11 19874
12 19872
13 19865
14 19858
15 19852
16 19859
17 19856
18 19848
19 19836
20 19834

About J. J. Silverlight

J. J. Silverlight is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems, Behavioral Neuroscience and Molecular Medicine, having authored 20 papers that have together received 365 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (11 papers), Hypothalamic control of reproductive hormones (7 papers), Pituitary Gland Disorders and Treatments (6 papers), Neuropeptides and Animal Physiology (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Regulation of Appetite and Obesity (2 papers), Adrenal and Paraganglionic Tumors (2 papers) and Stress Responses and Cortisol (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (102 citations), Reproductive Medicine (47 citations), Endocrine and Autonomic Systems (34 citations), Cellular and Molecular Neuroscience (78 citations) and Pharmacology (71 citations). J. J. Silverlight has collaborated with scholars based in United Kingdom. Frequent co-authors include J. S. Jenkins, R. A. Prysor-Jones, R. Jackman, N. G. Coldham, Lewis Thorne, Y. A. Luqmani, Anthony H. Taylor, V. T. Y. Ang, R. Charles Coombes and Sandy Kennedy. Their work appears in journals such as Journal of Endocrinology, European Journal of Endocrinology, Food and Agricultural Immunology, Endocrinology and Life Sciences.

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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