Sima Misra
Impact in
- Aging top 5%
-
- Neurobiology and Insect Physiology Research
Papers in
-
- Genomics and Phylogenetic Studies 5
- Genomics and Chromatin Dynamics 5
- RNA and protein synthesis mechanisms 4
- Machine Learning in Bioinformatics 2
- Biomedical Text Mining and Ontologies 2
- RNA modifications and cancer 2
- Bioinformatics and Genomic Networks 2
- Genetics 3
- Co-authors
- Gerald M. Rubin (6 shared papers)Todd Laverty (2 shared papers)Donald C. Rio (3 shared papers)Amy Beaton (1 shared paper)Allan C. Spradling (1 shared paper)Chris Mungall (5 shared papers)S Celniker (3 shared papers)Joseph W. Carlson (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Genetics (2 papers)Genome biology (2 papers)OMICS A Journal of Integrative Biology (1 paper)Development (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Sima Misra
14 papers receiving 2.3k citations
Sima Misra's Hit Papers
Peers
Comparison fields: 5 of 111
- Aging 84
- Cellular and Molecular Neuroscience 683
- Molecular Biology 1.7k
- Genetics 489
- Plant Science 550
Countries citing papers authored by Sima Misra
This map shows the geographic impact of Sima Misra'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 Sima Misra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sima Misra more than expected).
Fields of papers citing papers by Sima Misra
This network shows the impact of papers produced by Sima Misra. 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 Sima Misra. The network helps show where Sima Misra may publish in the future.
Co-authors
The 25 scholars most cited alongside Sima Misra, 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 | Tools for neuroanatomy and neurogenetics in Drosophila Hit paper breakdown → | 2008 | 699 |
| 2 | The Berkeley Drosophila Genome Project Gene Disruption Project: Single P-Element Insertions Mutating 25% of Vital Drosophila Genes Hit paper breakdown → | 1999 | 661 |
| 3 | 2002 | 382 | |
| 4 | 1990 | 167 | |
| 5 | The National Center for Biomedical Ontology: Advancing Biomedicine through Structured \nOrganization of Scientific Knowledge | 2006 | 110 |
| 6 | 2005 | 102 | |
| 7 | 1998 | 58 | |
| 8 | 2005 | 41 | |
| 9 | 2002 | 41 | |
| 10 | 1993 | 40 | |
| 11 | 2005 | 24 | |
| 12 | 2006 | 9 | |
| 13 | 1985 | 6 | |
| 14 | 1989 | 1 |
About Sima Misra
Sima Misra is a scholar working on Molecular Biology, Genetics, Plant Science, Artificial Intelligence and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Genomics and Chromatin Dynamics (5 papers), RNA and protein synthesis mechanisms (4 papers), Machine Learning in Bioinformatics (2 papers), Semantic Web and Ontologies (2 papers), Biomedical Text Mining and Ontologies (2 papers), RNA modifications and cancer (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Aging (84 citations), Cellular and Molecular Neuroscience (683 citations), Molecular Biology (1.7k citations), Genetics (489 citations) and Plant Science (550 citations). Sima Misra has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Gerald M. Rubin, Todd Laverty, Donald C. Rio, Amy Beaton, Allan C. Spradling, Chris Mungall, S Celniker, Joseph W. Carlson, Nomi L. Harris and Robert Svirskas. Their work appears in journals such as Proceedings of the National Academy of Sciences, Genetics, Genome biology, OMICS A Journal of Integrative Biology and Development.
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.