Jarek Meller

9.8k citations
125 papers · 6.5k indexed · 1 hit paper · h-index 42

Jarek Meller

122 papers receiving 6.4k citations

Hit Papers

fw2.2: A Quantitative Trait Locus Key to the Evolution of...1.0k20002026200820172505007501000

Peers

Jarek Meller
Comparison fields: 5 of 171
  • Infectious Diseases 942
  • Molecular Biology 3.3k
  • Cancer Research 594
  • Genetics 1.1k
  • Animal Science and Zoology 355
Replace Rita Casadio with:
Rita Casadio Italy
Liang Tong United States
Stuart McNicholas United Kingdom
Frank Eisenhaber Singapore
Marc A. Martı́-Renom Spain
Mikako Shirouzu Japan
John M. Taylor United States
András Fiser United States
Darryl Pappin United Kingdom
Andrew Keller United States
Jarek Meller relative to Rita Casadio Italy Rita Casadio's profile →
Citations per field
00.5×1.5×2.2×
Rita Casadio · 1×
Citations per year

Countries citing papers authored by Jarek Meller

Since Specialization
Citations

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

Fields of papers citing papers by Jarek Meller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20242
4 20241
5 20243
6 20228
7 20219
8 201928
9 201847
10 201622
11 201469
12 20143
13 201249
14 201219
15 2011288
16 201022
17 201025
18 200454
19 200316
20 2003152

About Jarek Meller

Jarek Meller is a scholar working on Computational Mathematics, Molecular Biology and Infectious Diseases, having authored 125 papers that have together received 6.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (22 papers), Enzyme Structure and Function (12 papers), Viral gastroenteritis research and epidemiology (12 papers), Computational Drug Discovery Methods (11 papers), Cancer, Hypoxia, and Metabolism (10 papers), Bioinformatics and Genomic Networks (10 papers), RNA and protein synthesis mechanisms (8 papers) and Spectroscopy and Quantum Chemical Studies (7 papers). The work is most often cited by research in Infectious Diseases (942 citations), Molecular Biology (3.3k citations) and Cancer Research (594 citations). Jarek Meller has collaborated with scholars based in United States, Poland and China. Frequent co-authors include Aleksey Porollo, Rafał Adamczak, Ron Elber, Maria Czyzyk-Krzeska, Amy Frary, Kevin B. Alpert, Teresa Nesbitt, Anne Frary, Esther van der Knaap and Bin Cong. Their work appears in journals such as PLoS ONE, Journal of Virology, Proteins Structure Function and Bioinformatics, The Pharmacogenomics Journal and Chemical Physics Letters.

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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