George Nikas

2.3k citations
29 papers · 1.9k · h-index 24

Impact in

Papers in

    • Reproductive System and Pregnancy 23
    • Endometriosis Research and Treatment 19
    • Ovarian function and disorders 4
    • Sperm and Testicular Function 2

George Nikas

29 papers receiving 1.8k citations

Peers

George Nikas
Comparison fields: 5 of 79
  • Reproductive Medicine 1.3k
  • Obstetrics and Gynecology 597
  • Immunology 1.3k
  • Public Health, Environmental and Occupational Health 667
  • Behavioral Neuroscience 52
Replace C. O’Neill with:
C. O’Neill Australia
Daniel H. Riddick United States
Anoop K. Brar United States
Gary N. Piquette United States
Y. Yoshimura Japan
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Keiji Tatsumi Japan
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Citations per field
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Citations per year

Countries citing papers authored by George Nikas

Since Specialization
Citations

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

Fields of papers citing papers by George Nikas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999192
2 2004162
3 1995158
4 1999126
5 1999106
6 200199
7 200396
8 199988
9 199678
10 200077
11 199572
12 199770
13 199968
14 200668
15 199562
16 200255
17 200038
18 200437
19 200930
20
Molecules in blastocyst implantation. Role of matrix metalloproteinases, cytokines and growth factors.
200328

About George Nikas

George Nikas is a scholar working on Immunology, Reproductive Medicine, Obstetrics and Gynecology, Public Health, Environmental and Occupational Health and Genetics, having authored 29 papers that have together received 1.9k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (23 papers), Endometriosis Research and Treatment (19 papers), Gynecological conditions and treatments (11 papers), Reproductive Biology and Fertility (8 papers), Ovarian function and disorders (4 papers), Estrogen and related hormone effects (3 papers), Sperm and Testicular Function (2 papers) and Biofield Effects and Biophysics (1 paper). The work is most often cited by research in Reproductive Medicine (1.3k citations), Obstetrics and Gynecology (597 citations), Immunology (1.3k citations), Public Health, Environmental and Occupational Health (667 citations) and Behavioral Neuroscience (52 citations). George Nikas has collaborated with scholars based in United Kingdom, Greece and United States. Frequent co-authors include Antonis Makrigiannakis, A Psychoyos, Jeng-Gwang Hsiu, Sergio Oehninger, Howard W. Jones, Achille Gravanis, Sebastián Mirkin, José I. Diaz, Lusine Aghajanova and Osman Develíoğlu. Their work appears in journals such as Human Reproduction, Fertility and Sterility, Annals of the New York Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and Reproductive BioMedicine Online.

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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