G. Tolis

4.5k citations
146 papers · 3.8k · h-index 31

Impact in

Papers in

G. Tolis

139 papers receiving 3.2k citations

Peers

G. Tolis
Comparison fields: 5 of 105
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Reproductive Medicine 659
  • Behavioral Neuroscience 116
  • Genetics 306
  • Cellular and Molecular Neuroscience 258
Replace Kenji Fujieda with:
Kenji Fujieda Japan
Marco Losa Italy
Maurice F. Scanlon United Kingdom
Ettore C. degli Uberti Italy
Laura De Marinis Italy
PIERO FIORETTI Italy
David J. Hill Canada
Giovanni Faglia Italy
Alessandro Peri Italy
Daniela Pasquali Italy
G. Tolis relative to Kenji Fujieda Japan Kenji Fujieda's profile →
Citations per field
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Kenji Fujieda · 1×
Citations per year

Countries citing papers authored by G. Tolis

Since Specialization
Citations

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

Fields of papers citing papers by G. Tolis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982307
2 1975281
3 1974167
4 1998145
5 1994139
6 2011130
7 1974110
8 1973108
9 200677
10 200671
11 197469
12 197767
13 197965
14 197863
15 199761
16 198459
17 200255
18 200654
19 199052
20 197447

About G. Tolis

G. Tolis is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Genetics, Pulmonary and Respiratory Medicine and Behavioral Neuroscience, having authored 146 papers that have together received 3.8k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (33 papers), Growth Hormone and Insulin-like Growth Factors (19 papers), Hypothalamic control of reproductive hormones (16 papers), Ovarian function and disorders (13 papers), Prostate Cancer Treatment and Research (12 papers), Hemoglobinopathies and Related Disorders (12 papers), Pancreatic function and diabetes (6 papers) and Neuropeptides and Animal Physiology (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Reproductive Medicine (659 citations), Behavioral Neuroscience (116 citations), Genetics (306 citations) and Cellular and Molecular Neuroscience (258 citations). G. Tolis has collaborated with scholars based in Greece, Canada and United States. Frequent co-authors include Henry G. Friesen, Harvey J Guyda, Joseph B. Martin, Adi Mehta, Samarthji Lal, Nicholas Angelopoulos, Andrew Victor Schally, Gregory M. Brown, A. M. Comaru-Schally and Atilla T.A. Fazekas. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Fertility and Sterility, Annals of the New York Academy of Sciences, American Journal of Obstetrics and Gynecology 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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