R. Braw–Tal

3.0k citations
42 papers · 2.3k · h-index 22

Impact in

Papers in

R. Braw–Tal

42 papers receiving 2.2k citations

Peers

R. Braw–Tal
Comparison fields: 5 of 74
  • Agronomy and Crop Science 1.4k
  • Animal Science and Zoology 761
  • Reproductive Medicine 499
  • Public Health, Environmental and Occupational Health 1.1k
  • Genetics 938
Replace F. F. Paula‐Lopes with:
F. F. Paula‐Lopes Brazil
C. M. Barros Brazil
F. Forcada Spain
N. C. Rawlings Canada
Miki Sakatani Japan
Pawel M. Bartlewski Canada
D. O’Callaghan Ireland
T.G. McEvoy United Kingdom
Yoel Zeron Israel
L. Zicarelli Italy
R. Braw–Tal relative to F. F. Paula‐Lopes Brazil F. F. Paula‐Lopes's profile →
Citations per field
00.5×1.5×
F. F. Paula‐Lopes · 1×
Citations per year

Countries citing papers authored by R. Braw–Tal

Since Specialization
Citations

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

Fields of papers citing papers by R. Braw–Tal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Braw–Tal. 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 R. Braw–Tal. The network helps show where R. Braw–Tal may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995248
2 1997230
3 2001190
4 2000177
5 2001175
6 2004114
7 2005111
8
Development of the sheep ovary during fetal and early neonatal life and the effect of fecundity genes.
1995108
9 2000106
10 200383
11 200082
12 199381
13 200868
14 200256
15 200947
16 199446
17 200245
18 200639
19 200532
20 200329

About R. Braw–Tal

R. Braw–Tal is a scholar working on Agronomy and Crop Science, Public Health, Environmental and Occupational Health, Genetics, Animal Science and Zoology and Reproductive Medicine, having authored 42 papers that have together received 2.3k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (26 papers), Reproductive Biology and Fertility (21 papers), Genetic and phenotypic traits in livestock (16 papers), Effects of Environmental Stressors on Livestock (7 papers), Ovarian function and disorders (4 papers), TGF-β signaling in diseases (3 papers), Ruminant Nutrition and Digestive Physiology (3 papers) and Hypothalamic control of reproductive hormones (2 papers). The work is most often cited by research in Agronomy and Crop Science (1.4k citations), Animal Science and Zoology (761 citations), Reproductive Medicine (499 citations), Public Health, Environmental and Occupational Health (1.1k citations) and Genetics (938 citations). R. Braw–Tal has collaborated with scholars based in Israel, Bulgaria and United States. Frequent co-authors include D. Wolfenson, Rina Meidan, Zvi Roth, Z. Roth, William Bor, M. Kaim, Amir Arav, Yoel Zeron, N. L. Hudson and L. Badinga. Their work appears in journals such as Reproduction, Journal of Dairy Science, Theriogenology, Animal Reproduction Science and Molecular and Cellular 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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