G. Tolis

4.5k citations
137 papers · 3.4k · h-index 31

Impact in

Papers in

G. Tolis

133 papers receiving 3.0k citations

Peers

G. Tolis
Comparison fields: 5 of 122
  • Endocrinology, Diabetes and Metabolism 1.6k
  • Reproductive Medicine 596
  • Behavioral Neuroscience 162
  • Genetics 408
  • Hematology 301
Replace IONE A. KOURIDES with:
IONE A. KOURIDES United States
P. W. C. Kloppenborg Netherlands
A. G. H. Smals Netherlands
M. Zachmann Switzerland
B. L. Pimstone South Africa
P. Fioretti Italy
G. Faglia Italy
M. F. Scanlon United Kingdom
P. Beck‐Peccoz Italy
Laura De Marinis Italy
G. Tolis relative to IONE A. KOURIDES United States IONE A. KOURIDES's profile →
Citations per field
00.5×6.2×
IONE A. KOURIDES · 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 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982277
2 1975241
3 1974145
4 1994138
5 1998134
6 2011113
7 1974101
8 1973101
9 200673
10 197762
11 200660
12 197458
13 199753
14 197951
15 197850
16 200249
17 200648
18 199045
19 198643
20 198142

About G. Tolis

G. Tolis is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Reproductive Medicine, Pulmonary and Respiratory Medicine and Surgery, having authored 137 papers that have together received 3.4k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (29 papers), Growth Hormone and Insulin-like Growth Factors (28 papers), Ovarian function and disorders (19 papers), Hemoglobinopathies and Related Disorders (12 papers), Hormonal and reproductive studies (12 papers), Prostate Cancer Treatment and Research (10 papers), Hypothalamic control of reproductive hormones (9 papers) and Neuroendocrine Tumor Research Advances (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.6k citations), Reproductive Medicine (596 citations), Behavioral Neuroscience (162 citations), Genetics (408 citations) and Hematology (301 citations). G. Tolis has collaborated with scholars based in Greece, Canada and United States. Frequent co-authors include Henry G. Friesen, H. Guyda, Joseph B. Martin, Adi Mehta, Samarthji Lal, Nicholas Angelopoulos, Andrew V. Schally, Gregory M. Brown, A. M. Comaru-Schally and George P. Chrousos. 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 Neuroendocrinology.

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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