Anna Borsodi

2.8k citations
158 papers · 2.4k indexed · h-index 27

Impact in

    • Neuropeptides and Animal Physiology
    • Neuroscience and Neuropharmacology Research
    • Neurotransmitter Receptor Influence on Behavior
    • Receptor Mechanisms and Signaling
    • Pharmacological Receptor Mechanisms and Effects
    • Chemical Synthesis and Analysis

Papers in

    • Neuropeptides and Animal Physiology 116
    • Neuroscience and Neuropharmacology Research 14
    • Receptor Mechanisms and Signaling 92
    • Pharmacological Receptor Mechanisms and Effects 55
    • Chemical Synthesis and Analysis 21

Anna Borsodi

157 papers receiving 2.3k citations

Peers

Anna Borsodi
Comparison fields: 5 of 94
  • Cellular and Molecular Neuroscience 1.7k
  • Molecular Biology 1.5k
  • Physiology 476
  • Biological Psychiatry 42
  • Pharmacology 274
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Citations per field
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Citations per year

Countries citing papers authored by Anna Borsodi

Since Specialization
Citations

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

Fields of papers citing papers by Anna Borsodi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199993
2 200263
3 199459
4 201156
5 198656
6 198248
7 199947
8 198446
9 200345
10 199843
11 198143
12 199041
13 200041
14 199936
15 200734
16 200233
17 201432
18 200132
19 201432
20 200731

About Anna Borsodi

Anna Borsodi is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Behavioral Neuroscience, Biological Psychiatry and Reproductive Medicine, having authored 158 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (116 papers), Receptor Mechanisms and Signaling (92 papers), Pharmacological Receptor Mechanisms and Effects (55 papers), Chemical Synthesis and Analysis (21 papers), Pain Mechanisms and Treatments (16 papers), Neuroscience and Neuropharmacology Research (14 papers), Neuroendocrine regulation and behavior (11 papers) and Cannabis and Cannabinoid Research (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.7k citations), Molecular Biology (1.5k citations), Physiology (476 citations), Biological Psychiatry (42 citations) and Pharmacology (274 citations). Anna Borsodi has collaborated with scholars based in Hungary, France and United States. Frequent co-authors include Sándor Benyhe, Géza Tóth, M Wollemann, Jacques Hanoune, Krisztina Monory, Joseph Simon, Csaba Tömböly, Mária Szűcs, Barbara Przewłocka and Éva Varga. Their work appears in journals such as Life Sciences, Neuropeptides, European Journal of Pharmacology, Biochemical and Biophysical Research Communications and Regulatory Peptides.

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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