Sharron Gargosky

3.8k citations
67 papers · 2.9k indexed · h-index 30

Sharron Gargosky

66 papers receiving 2.9k citations

Peers

Sharron Gargosky
Comparison fields: 5 of 96
  • Endocrinology, Diabetes and Metabolism 1.8k
  • Obstetrics and Gynecology 319
  • Pediatrics, Perinatology and Child Health 629
  • Reproductive Medicine 176
  • Genetics 534
Replace Paul Hossenlopp with:
Paul Hossenlopp France
Anne Bachelot France
Thanh Vu United States
E. R. Froesch Switzerland
Andrew Dauber United States
Anthony N. Corps United Kingdom
Ana‐Maria Bamberger Germany
Jan Lebl Czechia
Gunnar Rannevik Sweden
Sawako Minami Japan
Sharron Gargosky relative to Paul Hossenlopp France Paul Hossenlopp's profile →
Citations per field
00.5×5.5×
Paul Hossenlopp · 1×
Citations per year

Countries citing papers authored by Sharron Gargosky

Since Specialization
Citations

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

Fields of papers citing papers by Sharron Gargosky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201970
2 201597
3 201429
4 201057
5 20014
6 1997101
7 19978
8 199727
9 1996401
10 199622
11 19969
12 199528
13 19953
14 199425
15 199321
16 199236
17 199128
18 199128
19 199165
20 199020

About Sharron Gargosky

Sharron Gargosky is a scholar working on Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health and Biotechnology, having authored 67 papers that have together received 2.9k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (47 papers), Metabolism, Diabetes, and Cancer (11 papers), Lipid metabolism and disorders (10 papers), Birth, Development, and Health (9 papers), Genetic Syndromes and Imprinting (7 papers), Immunotherapy and Immune Responses (6 papers), Toxin Mechanisms and Immunotoxins (6 papers) and Microbial Inactivation Methods (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.8k citations), Obstetrics and Gynecology (319 citations) and Pediatrics, Perinatology and Child Health (629 citations). Sharron Gargosky has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include Ron G. Rosenfeld, Linda C. Giudice, Youngman Oh, Tomoko Matsumoto, Raymond L. Hintz, B A Dsupin, Kristin F. Wilson, Diane M. Simpson, R G Rosenfeld and Jaime Guevara‐Aguirre. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Endocrinology, Endocrinology, Pediatric Research and Cancer Research.

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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