Zvi Naor

8.7k citations
169 papers · 7.1k indexed · h-index 50

Zvi Naor

168 papers receiving 6.8k citations

Peers

Zvi Naor
Comparison fields: 5 of 120
  • Reproductive Medicine 3.5k
  • Physiology 432
  • Endocrinology, Diabetes and Metabolism 1.6k
  • Behavioral Neuroscience 223
  • Genetics 1.5k
Replace Mario Ascoli with:
Mario Ascoli United States
Margaret A. Shupnik United States
Douglas M. Stocco United States
C. Wayne Bardin United States
Holly A. Ingraham United States
Deborah L. Segaloff United States
Albert F. Parlow United States
Pulak R. Manna United States
Serge Nef Switzerland
Nigel G. Wreford Australia
Zvi Naor relative to Mario Ascoli United States Mario Ascoli's profile →
Citations per field
00.5×2.5×
Mario Ascoli · 1×
Citations per year

Countries citing papers authored by Zvi Naor

Since Specialization
Citations

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

Fields of papers citing papers by Zvi Naor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 201813
3 201719
4 201649
5
Role of a preformed signalosome in GnRH-stimulated FAK and paxillin phosphorylation by ERK at focal adhesions: possible role in gonadotropes migration
20121
6 200972
7 200510
8 200480
9 199542
10 199221
11 199210
12 199048
13 198922
14 1989163
15 1988113
16 198828
17 198821
18 19855
19 19779
20
Differential effects of prostaglandin synthetase inhibitors on prostaglandin E2 binding and on prostaglandin- or cholera toxin-induced cyclic AMP accumulation in the rabbit uterus.
19764

About Zvi Naor

Zvi Naor is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health, having authored 169 papers that have together received 7.1k indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (65 papers), Ovarian function and disorders (45 papers), Reproductive Biology and Fertility (41 papers), Protein Kinase Regulation and GTPase Signaling (37 papers), Growth Hormone and Insulin-like Growth Factors (35 papers), Estrogen and related hormone effects (33 papers), Receptor Mechanisms and Signaling (21 papers) and Sperm and Testicular Function (15 papers). The work is most often cited by research in Reproductive Medicine (3.5k citations), Physiology (432 citations) and Endocrinology, Diabetes and Metabolism (1.6k citations). Zvi Naor has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Rony Seger, Kevin Catt, Dagan Harris, Outhiriaradjou Benard, Sarah Kraus, Tal Almog, Yasutomi Nishizuka, Nachum Reiss, Gwen V. Childs and Sharon Shacham. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

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

Rankless by CCL
2026