M. Zarándi

1.2k citations
25 papers · 1.0k · h-index 14

Impact in

Papers in

M. Zarándi

25 papers receiving 995 citations

Peers

M. Zarándi
Comparison fields: 5 of 83
  • Endocrinology, Diabetes and Metabolism 277
  • Physiology 358
  • Cellular and Molecular Neuroscience 234
  • Biological Psychiatry 24
  • Pharmacology 151
Replace Claus T. Christoffersen with:
Claus T. Christoffersen Denmark
Katherine A. B. Kellett United Kingdom
Natalia V. Koudinova Israel
Wilma C.G. van Staveren Belgium
Patricia J. Hey United States
Angela M. Bodles United States
David G. Witte United States
Margot W. Beukers Netherlands
Masanori Sawamura Japan
David H. Rominger United States
M. Zarándi relative to Claus T. Christoffersen Denmark Claus T. Christoffersen's profile →
Citations per field
00.5×1.5×
Claus T. Christoffersen · 1×
Citations per year

Countries citing papers authored by M. Zarándi

Since Specialization
Citations

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

Fields of papers citing papers by M. Zarándi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000241
2 1996183
3 199492
4 199587
5 199969
6 200463
7 199658
8 199844
9 199939
10 201326
11 198326
12 200523
13 199623
14 199914
15 201114
16 199510
17
Basic HGF-like peptides inhibit generation of liver metastases in murine and human tumor models.
20035
18
Inhibition of electroshock-induced seizures by cholecystokinin-related peptides in mice.
19874
19 20033
20 19922

About M. Zarándi

M. Zarándi is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Cellular and Molecular Neuroscience, Pharmacology and Computational Theory and Mathematics, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (9 papers), Alzheimer's disease research and treatments (9 papers), Computational Drug Discovery Methods (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Chemical Synthesis and Analysis (3 papers), Thyroid Disorders and Treatments (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (277 citations), Physiology (358 citations), Cellular and Molecular Neuroscience (234 citations), Biological Psychiatry (24 citations) and Pharmacology (151 citations). M. Zarándi has collaborated with scholars based in Hungary, United States and Netherlands. Frequent co-authors include Andrew Victor Schally, Kate Groot, Gyorgy Bela Halmos, Botond Penke, Patricia E. Armatis, Katalin Soós, J. Pinski, Csaba J. Nyakas, István M. Ábrahám and Tibor Harkany. Their work appears in journals such as Neurobiology of Disease, Proceedings of the National Academy of Sciences, Endocrinology, Peptides and European Journal of Neuroscience.

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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