G. Paz

857 citations
39 papers · 612 · h-index 15

Impact in

Papers in

G. Paz

36 papers receiving 578 citations

Peers

G. Paz
Comparison fields: 5 of 72
  • Reproductive Medicine 438
  • Public Health, Environmental and Occupational Health 227
  • Genetics 177
  • Endocrinology, Diabetes and Metabolism 52
  • Molecular Biology 213
Replace Olivier D’Amours with:
Olivier D’Amours Canada
HF Irving-Rodgers Australia
Andrea Castro Chile
PJ Baker United Kingdom
David A. Skerrett‐Byrne Australia
Concepción Morales Spain
Nathália de Lima e Martins Lara Brazil
P.W. Zarutskie United States
Karina F. Rodriguez United States
B. Leroy‐Martin France
G. Paz relative to Olivier D’Amours Canada Olivier D’Amours's profile →
Citations per field
00.5×1.5×
Olivier D’Amours · 1×
Citations per year

Countries citing papers authored by G. Paz

Since Specialization
Citations

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

Fields of papers citing papers by G. Paz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200053
2 199749
3 199748
4 200142
5 200342
6 200642
7 198036
8 198036
9 197933
10 200830
11 201023
12 197818
13 201317
14 201214
15 200914
16 200411
17 199511
18 197811
19 197910
20 19789

About G. Paz

G. Paz is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Molecular Biology, Genetics and Surgery, having authored 39 papers that have together received 612 indexed citations. Recurring topics across this work include Sperm and Testicular Function (29 papers), Reproductive Biology and Fertility (18 papers), Ovarian function and disorders (10 papers), Sexual Differentiation and Disorders (7 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers), Reproductive Health and Technologies (4 papers), Testicular diseases and treatments (3 papers) and Hormonal and reproductive studies (2 papers). The work is most often cited by research in Reproductive Medicine (438 citations), Public Health, Environmental and Occupational Health (227 citations), Genetics (177 citations), Endocrinology, Diabetes and Metabolism (52 citations) and Molecular Biology (213 citations). G. Paz has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Z. T. Homonnai, H. Yavetz, Leah Yogev, Amnon Botchan, Sandra E. Kleiman, Ron Hauser, Batia Bar‐Shira Maymon, Joseph B. Lessing, Matthias David and Ronni Gamzu. Their work appears in journals such as Human Reproduction, International Journal of Andrology, Andrologia, Gynecologic and Obstetric Investigation and Journal of Neurology Neurosurgery & Psychiatry.

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.

Explore authors with similar magnitude of impact