Thomas Dandekar
Impact in
- Molecular Biology top 0.5%
- Genomics and Phylogenetic Studies
- Microbial Metabolic Engineering and Bioproduction
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- Gene Regulatory Network Analysis
- Protein Structure and Dynamics
- RNA modifications and cancer
- Horticulture top 1%
Papers in
-
- RNA and protein synthesis mechanisms 45
- Genomics and Phylogenetic Studies 36
- Microbial Metabolic Engineering and Bioproduction 35
- Bioinformatics and Genomic Networks 25
- Protein Structure and Dynamics 23
- RNA Research and Splicing 20
- Gene Regulatory Network Analysis 19
- Co-authors
- Tobias MüllerMatthias WolfJörg SchultzStefan SchusterMarcus DittrichDavid A. FellPeer BorkMuhammad Naseem
- Journals
- BMC Bioinformatics (11 papers)Bioinformatics (10 papers)Scientific Reports (10 papers)Computational and Structural Biotechnology Journal (10 papers)BMC Genomics (9 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Thomas Dandekar
351 papers receiving 14.4k citations
Hit Papers
Peers
Comparison fields: 5 of 185
- Molecular Biology 8.6k
- Horticulture 95
- Ecology 1.8k
- Biotechnology 545
- Parasitology 397
Countries citing papers authored by Thomas Dandekar
This map shows the geographic impact of Thomas Dandekar'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 Dandekar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Dandekar more than expected).
Fields of papers citing papers by Thomas Dandekar
This network shows the impact of papers produced by Thomas Dandekar. 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 Dandekar. The network helps show where Thomas Dandekar may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Dandekar, 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 | 2023 | 1 | |
| 2 | 2023 | 8 | |
| 3 | 2023 | 1 | |
| 4 | 2021 | 5 | |
| 5 | 2021 | 14 | |
| 6 | 2021 | 48 | |
| 7 | 2020 | 29 | |
| 8 | 2019 | 5 | |
| 9 | 2019 | 35 | |
| 10 | 2018 | 9 | |
| 11 | 2016 | 15 | |
| 12 | 2014 | 4 | |
| 13 | 2013 | 13 | |
| 14 | 2013 | 12 | |
| 15 | 2013 | 9 | |
| 16 | 2012 | 0 | |
| 17 | 2012 | 39 | |
| 18 | JANE: efficient mapping of prokaryotic ESTs and variable length sequence reads on related template genomes | 2009 | 1 |
| 19 | 2008 | 58 | |
| 20 | 2006 | 94 |
About Thomas Dandekar
Thomas Dandekar is a scholar working on Molecular Biology, Biotechnology, Cancer Research, Aging and Biophysics, having authored 369 papers that have together received 14.8k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (45 papers), Genomics and Phylogenetic Studies (36 papers), Microbial Metabolic Engineering and Bioproduction (35 papers), Bioinformatics and Genomic Networks (25 papers), Protein Structure and Dynamics (23 papers), RNA Research and Splicing (20 papers), Computational Drug Discovery Methods (19 papers) and Gene Regulatory Network Analysis (19 papers). The work is most often cited by research in Molecular Biology (8.6k citations), Horticulture (95 citations), Ecology (1.8k citations), Biotechnology (545 citations) and Parasitology (397 citations). Thomas Dandekar has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Tobias Müller, Matthias Wolf, Jörg Schultz, Stefan Schuster, Marcus Dittrich, David A. Fell, Peer Bork, Muhammad Naseem, Martijn A. Huynen and Chunguang Liang. Their work appears in journals such as BMC Bioinformatics, Bioinformatics, Scientific Reports, Computational and Structural Biotechnology Journal and BMC Genomics.
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.