Balázs Opper

429 citations
17 papers · 315 · h-index 11

Impact in

Papers in

Balázs Opper

17 papers receiving 312 citations

Peers

Balázs Opper
Comparison fields: 5 of 69
  • Cellular and Molecular Neuroscience 220
  • Reproductive Medicine 23
  • Endocrinology, Diabetes and Metabolism 42
  • Psychiatry and Mental health 32
  • Microbiology 13
Replace R. D. Mathison with:
R. D. Mathison Canada
Myriam Forneris Argentina
Levin Rm United States
J. J. Silverlight United Kingdom
Pascale Lybaert Belgium
G Van Aswegen South Africa
So Ra Oh South Korea
Iris P.L. Wong Australia
Toshihiro Kaga Japan
Takashi Tanida 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

17 of 17 papers shown
#Work
1 202054
2 201033
3 201133
4 201827
5 201927
6 201226
7 201022
8 201018
9 201515
10 201915
11 201413
12 201710
13 20227
14
Interactions of intracellular calcium and immune response in earthworms
20116
15 20185
16 20183
17 20211

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 17 papers that have together received 315 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (13 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (6 papers), Receptor Mechanisms and Signaling (6 papers), Invertebrate Immune Response Mechanisms (4 papers), Hormonal Regulation and Hypertension (3 papers), Neurobiology and Insect Physiology Research (2 papers), Apelin-related biomedical research (2 papers) and Antimicrobial Peptides and Activities (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (220 citations), Reproductive Medicine (23 citations), Endocrinology, Diabetes and Metabolism (42 citations), Psychiatry and Mental health (32 citations) and Microbiology (13 citations). Balázs Opper has collaborated with scholars based in Hungary, Switzerland and Italy. Frequent co-authors include Gabriella Horváth, Dóra Reglődi, Pèter Németh, Péter Engelmann, Andrea Tamás, Réka Brubel, Gábor K. Tóth, Bóglárka Rácz, Anita Illés and P. Kiss. Their work appears in journals such as Neuropeptides, Frontiers in Endocrinology, International Journal of Molecular Sciences, Molecular Immunology and Journal of Molecular 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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