Csaba Leranth

5.6k citations
68 papers · 4.9k · h-index 33

Impact in

Papers in

Csaba Leranth

68 papers receiving 4.7k citations

Peers

Csaba Leranth
Comparison fields: 5 of 119
  • Cellular and Molecular Neuroscience 1.7k
  • Endocrine and Autonomic Systems 404
  • Behavioral Neuroscience 203
  • Developmental Neuroscience 147
  • Health, Toxicology and Mutagenesis 622
Replace Maya Frankfurt with:
Maya Frankfurt United States
Sonoko Ogawa United States
Tibor Hajszán Hungary
Paola S. Timiras United States
Emilie F. Rissman United States
Nancy G. Weiland United States
Fukuko Kimura Japan
Anne M. Etgen United States
Á. Párducz Hungary
Shinji Hayashi Japan
Csaba Leranth relative to Maya Frankfurt United States Maya Frankfurt's profile →
Citations per field
00.5×2×2.9×
Maya Frankfurt · 1×
Citations per year

Countries citing papers authored by Csaba Leranth

Since Specialization
Citations

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

Fields of papers citing papers by Csaba Leranth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989400
2 2006367
3
"Dark" Purkinje cells of the cerebellar cortex.
1970259
4 1986229
5 2005211
6 2004207
7 2008200
8 1988189
9 2006189
10 2005185
11 2008175
12 1989169
13 1990158
14 1992147
15 2008142
16 1992132
17 2002110
18 201095
19 200591
20 198783

About Csaba Leranth

Csaba Leranth is a scholar working on Cellular and Molecular Neuroscience, Reproductive Medicine, Health, Toxicology and Mutagenesis, Behavioral Neuroscience and Cognitive Neuroscience, having authored 68 papers that have together received 4.9k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (28 papers), Neuropeptides and Animal Physiology (12 papers), Hypothalamic control of reproductive hormones (10 papers), Estrogen and related hormone effects (10 papers), Effects and risks of endocrine disrupting chemicals (7 papers), Memory and Neural Mechanisms (7 papers), Treatment of Major Depression (5 papers) and Stress Responses and Cortisol (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.7k citations), Endocrine and Autonomic Systems (404 citations), Behavioral Neuroscience (203 citations), Developmental Neuroscience (147 citations) and Health, Toxicology and Mutagenesis (622 citations). Csaba Leranth has collaborated with scholars based in United States, Hungary and Canada. Frequent co-authors include Tibor Hajszán, Neil James MacLusky, Frederick Nicholas Naftolin, Tamás L. Horváth, Jozsef Hámori, Marya Shanabrough, Virginia M. Pickel, Klara Szigeti‐Buck, Nicole E. Mons and P.S. Goldman-Rakic. Their work appears in journals such as Neuroscience, Endocrinology, The Journal of Comparative Neurology, Brain Research and Neuroendocrinology.

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