Hari Manev

8.6k citations
193 papers · 7.7k · h-index 45

Impact in

Papers in

Hari Manev

190 papers receiving 7.4k citations

Peers

Hari Manev
Comparison fields: 5 of 99
  • Endocrine and Autonomic Systems 1.3k
  • Cellular and Molecular Neuroscience 1.1k
  • Developmental Neuroscience 176
  • Neurology 217
  • Biological Psychiatry 29
Replace Piyarat Govitrapong with:
Piyarat Govitrapong Thailand
Marcelo Rubinstein Argentina
Günther Sperk Austria
Laurence H. Tecott United States
Helmut L. Haas Germany
Yasuyuki Nomura Japan
Xin‐Yun Lu United States
Yutaka Oomura Japan
Joaquim Alexandre Ribeiro Portugal
Emiliana Borrelli France
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Citations per field
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Piyarat Govitrapong · 1×
Citations per year

Countries citing papers authored by Hari Manev

Since Specialization
Citations

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

Fields of papers citing papers by Hari Manev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 193 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989442
2 1988365
3 1995207
4 2001196
5 1996188
6 2012178
7 1990167
8 1996142
9 1990138
10 2005138
11 2005132
12 1996131
13 1997129
14 1990128
15 2008123
16 1990117
17 2012114
18 2001113
19 2008109
20 1998107

About Hari Manev

Hari Manev is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Behavioral Neuroscience, Pharmacology and Developmental Neuroscience, having authored 193 papers that have together received 7.7k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (36 papers), Neuroscience and Neuropharmacology Research (29 papers), Epigenetics and DNA Methylation (11 papers), Alzheimer's disease research and treatments (9 papers), Cell death mechanisms and regulation (7 papers), Stress Responses and Cortisol (7 papers), Treatment of Major Depression (6 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.3k citations), Cellular and Molecular Neuroscience (1.1k citations), Developmental Neuroscience (176 citations), Neurology (217 citations) and Biological Psychiatry (29 citations). Hari Manev has collaborated with scholars based in United States, Italy and Croatia. Frequent co-authors include Tolga Uz, Svetlana Dzitoyeva, Radmila M. Manev, Alessandro Guidotti, Marco Favaron, E. Costa, Nikola Dimitrijević, Marta Imbesi, Cinzia M. Cagnoli and Hu Chen. Their work appears in journals such as European Journal of Pharmacology, Neuroreport, Life Sciences, Journal of Neurochemistry and 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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