Alpha Tom Kodamullil
- Molecular Biology
- Artificial Intelligence top 10%
- Physiology
- Computational Theory and Mathematics top 5%
- Genetics
- Co-authors
- Martin Hofmann‐ApitiusReagon KarkiDaniel Domingo‐FernándézErfan YounesiChristian EbelingYojana GadiyaTamara RaschkaSarah Mubeen
- Topics
- Bioinformatics and Genomic Networks (25 papers)Biomedical Text Mining and Ontologies (15 papers)Computational Drug Discovery Methods (10 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Alpha Tom Kodamullil
34 papers receiving 573 citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 348
- Artificial Intelligence 129
- Physiology 123
- Computational Theory and Mathematics 108
- Genetics 39
Countries citing papers authored by Alpha Tom Kodamullil
This map shows the geographic impact of Alpha Tom Kodamullil'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 Alpha Tom Kodamullil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alpha Tom Kodamullil more than expected).
Fields of papers citing papers by Alpha Tom Kodamullil
This network shows the impact of papers produced by Alpha Tom Kodamullil. 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 Alpha Tom Kodamullil. The network helps show where Alpha Tom Kodamullil may publish in the future.
Co-authorship network of co-authors of Alpha Tom Kodamullil
This figure shows the co-authorship network connecting the top 25 collaborators of Alpha Tom Kodamullil. A scholar is included among the top collaborators of Alpha Tom Kodamullil based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alpha Tom Kodamullil. Alpha Tom Kodamullil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 17 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | 72 | |
| 15 | 23 | |
| 16 | 13 | |
| 17 | 4 | |
| 18 | 19 | |
| 19 | 38 | |
| 20 | 13 |
About Alpha Tom Kodamullil
Alpha Tom Kodamullil is a scholar working on Biological Psychiatry, Computational Theory and Mathematics and Molecular Biology, having authored 39 papers that have together received 583 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (25 papers), Biomedical Text Mining and Ontologies (15 papers) and Computational Drug Discovery Methods (10 papers). The work is most often cited by research in Biological Psychiatry (22 citations), Computational Theory and Mathematics (108 citations) and Molecular Biology (348 citations). Alpha Tom Kodamullil has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Martin Hofmann‐Apitius, Reagon Karki, Daniel Domingo‐Fernándéz, Erfan Younesi, Christian Ebeling, Yojana Gadiya, Tamara Raschka, Sarah Mubeen, Sumit Madan and Shounak Baksi. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and 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.