Sima Misra

5.5k citations
14 papers · 2.3k indexed · 2 hit papers · h-index 11

Sima Misra

14 papers receiving 2.3k citations

Hit Papers

Tools for neuroanatomy and neurogenetics in Drosophila6991999202620082017200400600

Peers

Sima Misra
Comparison fields: 5 of 111
  • Aging 84
  • Cellular and Molecular Neuroscience 683
  • Molecular Biology 1.7k
  • Genetics 489
  • Plant Science 550
Replace R W Phillis with:
R W Phillis United States
Christine Murphy United Kingdom
Martha Evans-Holm United States
Robert K. Maeda Switzerland
Georgianna G. Zimm United States
Amy Beaton United States
Leslie Pick United States
Wendy Benz United States
Ann S. Hammonds United States
Monika Hediger Switzerland
Sima Misra relative to R W Phillis United States R W Phillis's profile →
Citations per field
00.5×10×13×
R W Phillis · 1×
Citations per year

Countries citing papers authored by Sima Misra

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Sima Misra Line = papers co-authored together Sima Misra links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Tools for neuroanatomy and neurogenetics in Drosophilabreakdown →
2008699
2
The National Center for Biomedical Ontology: Advancing Biomedicine through Structured \nOrganization of Scientific Knowledge
2006110
3 20069
4 200541
5 2005102
6 200524
7 200241
8 2002382
9
The Berkeley Drosophila Genome Project Gene Disruption Project: Single P-Element Insertions Mutating 25% of Vital Drosophila Genesbreakdown →
1999661
10 199858
11 199340
12 1990167
13 19891
14 19856

About Sima Misra

Sima Misra is a scholar working on Medical Laboratory Technology, Molecular Biology, Genetics, Plant Science and Biomaterials, 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), RNA modifications and cancer (2 papers), Machine Learning in Bioinformatics (2 papers), Biomedical Text Mining and Ontologies (2 papers), Semantic Web and Ontologies (2 papers) and Chromosomal and Genetic Variations (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, Allan C. Spradling, Amy Beaton, Chris Mungall, S Celniker, Joseph W. Carlson, Nomi L. Harris and Chris Q. Doe. 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.

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