G. Bialy

32 papers receiving 362 citations

Peers

G. Bialy
Comparison fields: 5 of 81
  • Reproductive Medicine 90
  • Agronomy and Crop Science 39
  • Toxicology 10
  • Plant Science 102
  • Public Health, Environmental and Occupational Health 78
Replace C. W. EMMENS with:
C. W. EMMENS Australia
A. Phillips United States
D. Beerens Belgium
J.D. Dhar India
A.D. Forbes United States
Gordon W. Duncan United States
Qiang-Su Guo China
Ramesh H. Shah United States
Montri Chulavatnatol Thailand
Phuong Nguyen Hoai Huynh United States
G. Bialy relative to C. W. EMMENS Australia C. W. EMMENS's profile →
Citations per field
00.5×
C. W. EMMENS · 1×
Citations per year

Countries citing papers authored by G. Bialy

Since Specialization
Citations

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

Fields of papers citing papers by G. Bialy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside G. Bialy, 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. Bialy Line = papers co-authored together G. Bialy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198582
2 198740
3 197129
4 196628
5 199423
6 195723
7 195820
8
CARBONIC ANHYDRASE IN STEROID-RESPONSIVE TISSUES.
196312
9 195812
10 198311
11 19639
12 19679
13 19599
14 19579
15 19738
16 19728
17 19668
18 19668
19 19748
20 19747

About G. Bialy

G. Bialy is a scholar working on Organic Chemistry, Genetics, Reproductive Medicine, Plant Science and Public Health, Environmental and Occupational Health, having authored 35 papers that have together received 406 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (6 papers), Sperm and Testicular Function (5 papers), Reproductive Biology and Fertility (4 papers), Research in Cotton Cultivation (3 papers), Garlic and Onion Studies (3 papers), Organic and Inorganic Chemical Reactions (3 papers), Synthesis of Tetrazole Derivatives (2 papers) and Fungal Plant Pathogen Control (2 papers). The work is most often cited by research in Reproductive Medicine (90 citations), Agronomy and Crop Science (39 citations), Toxicology (10 citations), Plant Science (102 citations) and Public Health, Environmental and Occupational Health (78 citations). G. Bialy has collaborated with scholars based in United States, Pakistan and Cameroon. Frequent co-authors include Vearl R. Smith, Gregory Pincus, Richard P. Blye, Marjorie C. Lindberg, Rong Zhou, Stephen A. Matlin, R. R. Crenshaw, Donald S. Layne, Lee C. Cheney and Manuel Paniagua. Their work appears in journals such as Endocrinology, Journal of Medicinal Chemistry, Journal of Dairy Science, Contraception and Reproduction Fertility and Development.

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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