Balázs Papp
Impact in
- Molecular Medicine top 0.5%
- Molecular Biology top 1%
- Microbial Metabolic Engineering and Bioproduction
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- Fungal and yeast genetics research
- Gene Regulatory Network Analysis
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
Papers in
-
- Antibiotic Resistance in Bacteria 9
-
- Microbial Metabolic Engineering and Bioproduction 32
- Bioinformatics and Genomic Networks 27
- Fungal and yeast genetics research 14
- CRISPR and Genetic Engineering 13
- Gene Regulatory Network Analysis 13
- Protein Structure and Dynamics 8
- Co-authors
- Csaba PálLaurence D. HurstMartin J. LercherViktória LázárStephen G. OliverBalázs SzappanosRichard A. NotebaartGergely Fekete
- Journals
- Molecular Biology and Evolution (8 papers)Proceedings of the National Academy of Sciences (5 papers)Nature Communications (4 papers)Bioinformatics (4 papers)PLoS Biology (4 papers)
- Partner nations
- HungaryUnited KingdomUnited States
In The Last Decade
Balázs Papp
81 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Molecular Medicine 534
- Molecular Biology 5.0k
- Genetics 1.9k
- Aging 82
- Endocrinology 143
Countries citing papers authored by Balázs Papp
This map shows the geographic impact of Balázs Papp'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 Papp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Balázs Papp more than expected).
Fields of papers citing papers by Balázs Papp
This network shows the impact of papers produced by Balázs Papp. 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 Papp. The network helps show where Balázs Papp may publish in the future.
Co-authors
The 25 scholars most cited alongside Balázs Papp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 8 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 9 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 32 | |
| 7 | 2020 | 14 | |
| 8 | 2020 | 26 | |
| 9 | 2019 | 60 | |
| 10 | 2018 | 75 | |
| 11 | 2018 | 63 | |
| 12 | 2018 | 92 | |
| 13 | 2017 | 43 | |
| 14 | 2017 | 64 | |
| 15 | ModuLand plug-in for Cytoscape: extensively overlapping modules, community centrality and their use in biological networks | 2011 | 2 |
| 16 | 2011 | 158 | |
| 17 | 2008 | 46 | |
| 18 | 2007 | 58 | |
| 19 | 2004 | 273 | |
| 20 | 2003 | 94 |
About Balázs Papp
Balázs Papp is a scholar working on Molecular Medicine, Molecular Biology, Genetics, Aging and Microbiology, having authored 84 papers that have together received 6.5k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (32 papers), Bioinformatics and Genomic Networks (27 papers), Evolution and Genetic Dynamics (23 papers), Fungal and yeast genetics research (14 papers), CRISPR and Genetic Engineering (13 papers), Gene Regulatory Network Analysis (13 papers), Antibiotic Resistance in Bacteria (9 papers) and Protein Structure and Dynamics (8 papers). The work is most often cited by research in Molecular Medicine (534 citations), Molecular Biology (5.0k citations), Genetics (1.9k citations), Aging (82 citations) and Endocrinology (143 citations). Balázs Papp has collaborated with scholars based in Hungary, United Kingdom and United States. Frequent co-authors include Csaba Pál, Laurence D. Hurst, Martin J. Lercher, Viktória Lázár, Stephen G. Oliver, Balázs Szappanos, Richard A. Notebaart, Gergely Fekete, Brenda Andrews and Charles Boone. Their work appears in journals such as Molecular Biology and Evolution, Proceedings of the National Academy of Sciences, Nature Communications, Bioinformatics and PLoS Biology.
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.