Daniela Pechlivanova

678 citations
38 papers · 589 · h-index 13

Impact in

Papers in

Daniela Pechlivanova

36 papers receiving 578 citations

Peers

Daniela Pechlivanova
Comparison fields: 5 of 77
  • Biological Psychiatry 60
  • Cellular and Molecular Neuroscience 251
  • Behavioral Neuroscience 47
  • Endocrine and Autonomic Systems 80
  • Psychiatry and Mental health 107
Replace Leyre Urigüen with:
Leyre Urigüen Spain
Andrea Rotter Germany
V. G. Bashkatova Russia
Roberto Colangeli Italy
Adena S. Spiro Australia
Marcelo Duzzioni Brazil
Karla Drescher Germany
Alexander Kuzmin Sweden
Mauro Federici Italy
Lucyna Pomierny-Chamioło Poland
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Pechlivanova

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Pechlivanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201260
2 201353
3 201449
4 201047
5 201442
6 201542
7 201140
8 200936
9 200324
10 201323
11 201121
12 201821
13 202117
14 201310
15 201510
16 201010
17 201910
18 20029
19 20208
20 20128

About Daniela Pechlivanova

Daniela Pechlivanova is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine and Biological Psychiatry, having authored 38 papers that have together received 589 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (10 papers), Neuroscience and Neuropharmacology Research (7 papers), Pain Mechanisms and Treatments (7 papers), Renin-Angiotensin System Studies (6 papers), Receptor Mechanisms and Signaling (6 papers), Tryptophan and brain disorders (5 papers), Protein Hydrolysis and Bioactive Peptides (4 papers) and Biochemical effects in animals (4 papers). The work is most often cited by research in Biological Psychiatry (60 citations), Cellular and Molecular Neuroscience (251 citations), Behavioral Neuroscience (47 citations), Endocrine and Autonomic Systems (80 citations) and Psychiatry and Mental health (107 citations). Daniela Pechlivanova has collaborated with scholars based in Bulgaria, Italy and Greece. Frequent co-authors include Jana Tchekalarova, Alexander Stoynev, Nikolai Lazarov, Valentin Lozanov, K. Yakimova, R Nikolov, Lidia Kortenska, Dimitrinka Atanasova, Slavianka Moyanova and Petаr Todorov. Their work appears in journals such as Epilepsy & Behavior, Pharmacology Biochemistry and Behavior, European Neuropsychopharmacology, Cellular and Molecular Neurobiology and Archiv der Pharmazie.

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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