Balázs Opper

445 citations
18 papers · 326 · h-index 11

Impact in

Papers in

Balázs Opper

17 papers receiving 323 citations

Peers

Balázs Opper
Comparison fields: 5 of 67
  • Cellular and Molecular Neuroscience 219
  • Reproductive Medicine 26
  • Endocrinology, Diabetes and Metabolism 42
  • Psychiatry and Mental health 29
  • Microbiology 13
Replace R. D. Mathison with:
R. D. Mathison Canada
Myriam Forneris Argentina
So Ra Oh South Korea
Pascale Lybaert Belgium
Naoki Hara Japan
Dávid Ernszt Hungary
Miki Yoshida Japan
D. F. Cameron United States
Christina Bjenning United States
Toshihiro Kaga Japan
Balázs Opper relative to R. D. Mathison Canada R. D. Mathison's profile →
Citations per field
00.5×8.8×
R. D. Mathison · 1×
Citations per year

Countries citing papers authored by Balázs Opper

Since Specialization
Citations

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

Fields of papers citing papers by Balázs Opper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 202056
2 201034
3 201134
4 201928
5 201827
6 201226
7 201022
8 201018
9 201917
10 201516
11 201413
12 201710
13 20229
14
Interactions of intracellular calcium and immune response in earthworms
20116
15 20185
16 20183
17 20212
18 20250

About Balázs Opper

Balázs Opper is a scholar working on Cellular and Molecular Neuroscience, Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism and Immunology, having authored 18 papers that have together received 326 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (14 papers), Receptor Mechanisms and Signaling (7 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (7 papers), Invertebrate Immune Response Mechanisms (4 papers), Hormonal Regulation and Hypertension (3 papers), Neurobiology and Insect Physiology Research (2 papers), Antimicrobial Peptides and Activities (2 papers) and Apelin-related biomedical research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (219 citations), Reproductive Medicine (26 citations), Endocrinology, Diabetes and Metabolism (42 citations), Psychiatry and Mental health (29 citations) and Microbiology (13 citations). Balázs Opper has collaborated with scholars based in Hungary, Italy and Romania. Frequent co-authors include Dóra Reglődi, Gabriella Horváth, Andrea Tamás, Péter Engelmann, Pèter Németh, Réka Brubel, P. Kiss, Gábor K. Tóth, Bóglárka Rácz and Anita Illés. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Molecular Neuroscience, Neuropeptides, Frontiers in Endocrinology and Molecular Immunology.

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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