Thomas Litfin
Impact in
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- RNA Research and Splicing
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- Computational Drug Discovery Methods
Papers in
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- RNA and protein synthesis mechanisms 10
- Protein Structure and Dynamics 9
- Machine Learning in Bioinformatics 6
- Genomics and Phylogenetic Studies 3
- Glycosylation and Glycoproteins Research 2
- vaccines and immunoinformatics approaches 2
- RNA modifications and cancer 2
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- Enzyme Structure and Function 4
- Co-authors
- Yaoqi Zhou (23 shared papers)Kuldip K. Paliwal (13 shared papers)Jack Hanson (6 shared papers)Yuedong Yang (6 shared papers)Jaswinder Singh (8 shared papers)Tongchuan Zhang (2 shared papers)Jian Zhan (8 shared papers)Joe Tiralongo (1 shared paper)
In The Last Decade
Thomas Litfin
25 papers receiving 891 citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 739
- Computational Theory and Mathematics 102
- Materials Chemistry 153
- Structural Biology 3
- Cell Biology 24
Countries citing papers authored by Thomas Litfin
This map shows the geographic impact of Thomas Litfin'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 Litfin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Litfin more than expected).
Fields of papers citing papers by Thomas Litfin
This network shows the impact of papers produced by Thomas Litfin. 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 Litfin. The network helps show where Thomas Litfin may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Litfin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 142 | |
| 2 | 2018 | 139 | |
| 3 | 2019 | 107 | |
| 4 | 2019 | 68 | |
| 5 | 2021 | 67 | |
| 6 | 2023 | 51 | |
| 7 | 2019 | 38 | |
| 8 | 2022 | 37 | |
| 9 | 2022 | 35 | |
| 10 | 2021 | 33 | |
| 11 | 2021 | 27 | |
| 12 | 2019 | 19 | |
| 13 | 2022 | 18 | |
| 14 | 2020 | 18 | |
| 15 | 2017 | 17 | |
| 16 | 2019 | 15 | |
| 17 | 2022 | 13 | |
| 18 | 2016 | 13 | |
| 19 | 2024 | 11 | |
| 20 | 2019 | 9 |
About Thomas Litfin
Thomas Litfin is a scholar working on Molecular Biology, Materials Chemistry, Organic Chemistry, Surgery and Ecology, having authored 26 papers that have together received 898 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (10 papers), Protein Structure and Dynamics (9 papers), Machine Learning in Bioinformatics (6 papers), Enzyme Structure and Function (4 papers), Genomics and Phylogenetic Studies (3 papers), Glycosylation and Glycoproteins Research (2 papers), vaccines and immunoinformatics approaches (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Molecular Biology (739 citations), Computational Theory and Mathematics (102 citations), Materials Chemistry (153 citations), Structural Biology (3 citations) and Cell Biology (24 citations). Thomas Litfin has collaborated with scholars based in Australia, China and Germany. Frequent co-authors include Yaoqi Zhou, Kuldip K. Paliwal, Jack Hanson, Yuedong Yang, Jaswinder Singh, Tongchuan Zhang, Jian Zhan, Joe Tiralongo, Thomas Haselhorst and Christopher J. Day. Their work appears in journals such as Bioinformatics, Genomics Proteomics & Bioinformatics, Nature Communications, Journal of Computational Biology and Briefings in Bioinformatics.
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.