Thomas Madej
- Molecular Biology top 5%
- Protein Structure and Dynamics 17
- RNA and protein synthesis mechanisms 7
- Genomics and Phylogenetic Studies 7
- Machine Learning in Bioinformatics 5
- Microbial Metabolic Engineering and Bioproduction 5
- Bioinformatics and Genomic Networks 5
- Glycosylation and Glycoproteins Research 4
- Materials Chemistry top 10%
- Enzyme Structure and Function 11
- Nutrition and Dietetics top 10%
- Co-authors
- Stephen H. BryantJean‐François GibratAnna R. PanchenkoAron Marchler‐BauerMark S. BoguskiChristopher J. LanczyckiRenata C. GeerDachuan Zhang
- Journals
- Nucleic Acids Research (6 papers)Proteins Structure Function and Bioinformatics (3 papers)Journal of Molecular Biology (3 papers)
- Partner nations
- United StatesRussiaJapan
In The Last Decade
Thomas Madej
25 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 1.9k
- Endocrine and Autonomic Systems 156
- Materials Chemistry 677
- Computational Theory and Mathematics 219
- Nutrition and Dietetics 119
Countries citing papers authored by Thomas Madej
This map shows the geographic impact of Thomas Madej'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 Thomas Madej with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Madej more than expected).
Fields of papers citing papers by Thomas Madej
This network shows the impact of papers produced by Thomas Madej. 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 Thomas Madej. The network helps show where Thomas Madej may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas Madej, 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 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2020 | 10 | |
| 4 | 2019 | 127 | |
| 5 | 2012 | 15 | |
| 6 | 2011 | 70 | |
| 7 | 2011 | 52 | |
| 8 | 2010 | 37 | |
| 9 | 2010 | 13 | |
| 10 | 2009 | 101 | |
| 11 | 2009 | 67 | |
| 12 | 2007 | 33 | |
| 13 | 2007 | 6 | |
| 14 | 2006 | 77 | |
| 15 | 2005 | 47 | |
| 16 | 2005 | 41 | |
| 17 | 1999 | 28 | |
| 18 | Surprising similarities in structure comparisonbreakdown → | 1996 | 795 |
| 19 | 1995 | 345 | |
| 20 | 1993 | 9 |
About Thomas Madej
Thomas Madej is a scholar working on Molecular Biology, Discrete Mathematics and Combinatorics, Materials Chemistry, Computational Theory and Mathematics and Biotechnology, having authored 26 papers that have together received 2.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (17 papers), Enzyme Structure and Function (11 papers), RNA and protein synthesis mechanisms (7 papers), Genomics and Phylogenetic Studies (7 papers), Machine Learning in Bioinformatics (5 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Bioinformatics and Genomic Networks (5 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Endocrine and Autonomic Systems (156 citations), Materials Chemistry (677 citations), Computational Theory and Mathematics (219 citations) and Nutrition and Dietetics (119 citations). Thomas Madej has collaborated with scholars based in United States, Russia and Japan. Frequent co-authors include Stephen H. Bryant, Jean‐François Gibrat, Anna R. Panchenko, Aron Marchler‐Bauer, Mark S. Boguski, Christopher J. Lanczycki, Renata C. Geer, Dachuan Zhang, Paul Thiessen and Ratna R. Thangudu. Their work appears in journals such as Nucleic Acids Research, Proteins Structure Function and Bioinformatics, Journal of Molecular Biology, BMC Evolutionary Biology and Progress in molecular biology and translational science.
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.