Sushama Michael
Impact in
-
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- RNA Research and Splicing
- Ubiquitin and proteasome pathways
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
Papers in
-
- Ubiquitin and proteasome pathways 4
- RNA and protein synthesis mechanisms 3
- RNA Research and Splicing 2
- Genomics and Chromatin Dynamics 2
- Bioinformatics and Genomic Networks 1
- Machine Learning in Bioinformatics 1
- Genomics and Phylogenetic Studies 1
-
- Microbial Natural Products and Biosynthesis 1
- Co-authors
- Toby J. Gibson (5 shared papers)Norman E. Davey (3 shared papers)Lucía B. Chemes (3 shared papers)Jeremy M Berg (1 shared paper)M. H. Schmidt (1 shared paper)Barbara Amann (1 shared paper)Juliana Glavina (2 shared papers)Hugo Sámano‐Sánchez (2 shared papers)
- Journals
- Nucleic Acids Research (3 papers)Proceedings of the National Academy of Sciences (1 paper)Bioinformatics (1 paper)Methods in molecular biology (1 paper)
- Partner nations
- GermanyUnited KingdomArgentina
In The Last Decade
Sushama Michael
6 papers receiving 755 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 623
- Cell Biology 92
- Spectroscopy 49
- Aging 5
- Virology 11
Countries citing papers authored by Sushama Michael
This map shows the geographic impact of Sushama Michael'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 Sushama Michael with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sushama Michael more than expected).
Fields of papers citing papers by Sushama Michael
This network shows the impact of papers produced by Sushama Michael. 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 Sushama Michael. The network helps show where Sushama Michael may publish in the future.
Co-authors
The 25 scholars most cited alongside Sushama Michael, 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 | 2013 | 234 | |
| 2 | 2019 | 199 | |
| 3 | 2021 | 153 | |
| 4 | 1992 | 139 | |
| 5 | 2008 | 29 | |
| 6 | 2020 | 4 |
About Sushama Michael
Sushama Michael is a scholar working on Molecular Biology, Pharmacology, Cell Biology, Genetics and Infectious Diseases, having authored 6 papers that have together received 758 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), RNA and protein synthesis mechanisms (3 papers), RNA Research and Splicing (2 papers), Genomics and Chromatin Dynamics (2 papers), Bioinformatics and Genomic Networks (1 paper), Machine Learning in Bioinformatics (1 paper), Microbial Natural Products and Biosynthesis (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Molecular Biology (623 citations), Cell Biology (92 citations), Spectroscopy (49 citations), Aging (5 citations) and Virology (11 citations). Sushama Michael has collaborated with scholars based in Germany, United Kingdom and Argentina. Frequent co-authors include Toby J. Gibson, Norman E. Davey, Lucía B. Chemes, Jeremy M Berg, M. H. Schmidt, Barbara Amann, Juliana Glavina, Hugo Sámano‐Sánchez, Rita Pancsa and Marc Gouw. Their work appears in journals such as Nucleic Acids Research, Proceedings of the National Academy of Sciences, Bioinformatics and Methods in molecular biology.
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.