Vikram Alva
Impact in
- Endocrinology top 2%
- Molecular Biology top 2%
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Protein Structure and Dynamics
- Photosynthetic Processes and Mechanisms
Papers in
-
- RNA and protein synthesis mechanisms 16
- Protein Structure and Dynamics 10
- Genomics and Phylogenetic Studies 9
- Machine Learning in Bioinformatics 6
- Bacterial biofilms and quorum sensing 5
- Ecology 11
- Bacteriophages and microbial interactions 9
- Co-authors
- Andrei N. Lupas (25 shared papers)Johannes Söding (6 shared papers)Jonas M. Kübler (1 shared paper)Lukas Zimmermann (1 shared paper)Andrew Stephens (1 shared paper)Klaus O. Kopec (2 shared papers)Martin Steinegger (1 shared paper)Milot Mirdita (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (6 papers)Bioinformatics (5 papers)Structure (3 papers)Nature Communications (3 papers)Protein Science (3 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Vikram Alva
54 papers receiving 4.1k citations
Vikram Alva's Hit Papers
Peers
Comparison fields: 5 of 127
- Endocrinology 242
- Molecular Biology 2.8k
- Ecology 923
- Microbiology 161
- Structural Biology 37
Countries citing papers authored by Vikram Alva
This map shows the geographic impact of Vikram Alva'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 Vikram Alva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikram Alva more than expected).
Fields of papers citing papers by Vikram Alva
This network shows the impact of papers produced by Vikram Alva. 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 Vikram Alva. The network helps show where Vikram Alva may publish in the future.
Co-authors
The 25 scholars most cited alongside Vikram Alva, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Completely Reimplemented MPI Bioinformatics Toolkit with a New HHpred Server at its Core Hit paper breakdown → | 2017 | 1688 |
| 2 | Protein Sequence Analysis Using the MPI Bioinformatics Toolkit Hit paper breakdown → | 2020 | 494 |
| 3 | 2016 | 297 | |
| 4 | 2015 | 190 | |
| 5 | 2010 | 172 | |
| 6 | 2018 | 127 | |
| 7 | 2011 | 76 | |
| 8 | 2009 | 67 | |
| 9 | 2016 | 66 | |
| 10 | 2020 | 59 | |
| 11 | 2012 | 55 | |
| 12 | 2008 | 51 | |
| 13 | 2018 | 43 | |
| 14 | 2021 | 40 | |
| 15 | 2023 | 40 | |
| 16 | 2017 | 40 | |
| 17 | 2017 | 39 | |
| 18 | 2011 | 39 | |
| 19 | 2017 | 38 | |
| 20 | 2007 | 37 |
About Vikram Alva
Vikram Alva is a scholar working on Molecular Biology, Ecology, Materials Chemistry, Genetics and Cell Biology, having authored 56 papers that have together received 4.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (16 papers), Enzyme Structure and Function (10 papers), Protein Structure and Dynamics (10 papers), Genomics and Phylogenetic Studies (9 papers), Bacteriophages and microbial interactions (9 papers), Bacterial Genetics and Biotechnology (7 papers), Machine Learning in Bioinformatics (6 papers) and Bacterial biofilms and quorum sensing (5 papers). The work is most often cited by research in Endocrinology (242 citations), Molecular Biology (2.8k citations), Ecology (923 citations), Microbiology (161 citations) and Structural Biology (37 citations). Vikram Alva has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Andrei N. Lupas, Johannes Söding, Jonas M. Kübler, Lukas Zimmermann, Andrew Stephens, Klaus O. Kopec, Martin Steinegger, Milot Mirdita, Tanmay A. M. Bharat and Andriko von Kügelgen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics, Structure, Nature Communications and Protein 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.