George Mskhalaya

1.4k citations
15 papers · 1.1k indexed · h-index 8

George Mskhalaya

15 papers receiving 1.0k citations

Peers

George Mskhalaya
Comparison fields: 5 of 66
  • Endocrinology, Diabetes and Metabolism 940
  • Pharmacology 484
  • Reproductive Medicine 194
  • Behavioral Neuroscience 54
  • Cell Biology 214
Replace Yuliya Tishova with:
Yuliya Tishova Russia
Cecilia McWhirter United States
Lam P Ly Australia
Ahmad Haider Germany
Gretchen R. Esche United States
Helen Peachey United States
Karim Sultan Haider Germany
Philip E. Knapp United States
Kishore M. Lakshman United States
Doris Huebler Germany
George Mskhalaya relative to Yuliya Tishova Russia Yuliya Tishova's profile →
Citations per field
00.5×1.5×
Yuliya Tishova · 1×
Citations per year

Countries citing papers authored by George Mskhalaya

Since Specialization
Citations

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

Fields of papers citing papers by George Mskhalaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20246
2 20238
3 202138
4 20171
5 20162
6 201682
7 2015237
8 2011244
9
The Moscow study: a randomized, placebo-controlled, double-blind trial of parenteral testosterone undecanoate on the metabolic syndrome components and body composition
20103
10
The Moscow Study: a randomized, placebo-controlled, double-blind trial of parenteral testosterone undecanoate on the prostate status and blood count
20101
11 2010281
12 20101
13 2010107
14
Spermatogenesis in men with late-onset hypogonadism, receiving testosterone-gel
20091
15 200859

About George Mskhalaya

George Mskhalaya is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Cell Biology, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (14 papers), Muscle metabolism and nutrition (5 papers), Sexual Differentiation and Disorders (4 papers), Pharmacology and Obesity Treatment (4 papers), Sexual function and dysfunction studies (2 papers), Sperm and Testicular Function (2 papers), Sports Performance and Training (1 paper) and Stress Responses and Cortisol (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (940 citations), Pharmacology (484 citations) and Reproductive Medicine (194 citations). George Mskhalaya has collaborated with scholars based in Russia, United States and Germany. Frequent co-authors include Yuliya Tishova, Erik J. Giltay, Louis Gooren, Farid Saad, Svetlana Kalinchenko, Stefan Arver, Michael Zitzmann, Abraham Morgentaler, Bruno Lunenfeld and Svetlana Kalinchenko. Their work appears in journals such as Mayo Clinic Proceedings, Physiology & Behavior and Clinical Endocrinology.

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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2026