Mala Murthy
Impact in
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- Neurobiology and Insect Physiology Research
- Photoreceptor and optogenetics research
- Aging top 5%
Papers in ⓘ
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- Animal Vocal Communication and Behavior 4
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- Neurobiology and Insect Physiology Research 32
- Co-authors
- Talmo Pereira (4 shared papers)Joshua W. Shaevitz (2 shared papers)Thomas L. Schwarz (5 shared papers)Philip Coen (8 shared papers)Jan Clemens (9 shared papers)Samuel S.‐H. Wang (2 shared papers)Diego A. Pacheco (8 shared papers)Diego Aldarondo (2 shared papers)
- Journals
- Nature (6 papers)Neuron (5 papers)Current Biology (4 papers)Proceedings of the National Academy of Sciences (4 papers)Nature Neuroscience (3 papers)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Mala Murthy
42 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Cellular and Molecular Neuroscience 1.1k
- Aging 87
- Developmental Biology 102
- Cell Biology 626
- Ecology, Evolution, Behavior and Systematics 666
Countries citing papers authored by Mala Murthy
This map shows the geographic impact of Mala Murthy'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 Mala Murthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mala Murthy more than expected).
Fields of papers citing papers by Mala Murthy
This network shows the impact of papers produced by Mala Murthy. 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 Mala Murthy. The network helps show where Mala Murthy may publish in the future.
Co-authors
The 25 scholars most cited alongside Mala Murthy, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fast animal pose estimation using deep neural networks Hit paper breakdown → | 2018 | 387 |
| 2 | 2005 | 227 | |
| 3 | 2003 | 167 | |
| 4 | 2020 | 161 | |
| 5 | 2008 | 119 | |
| 6 | 2013 | 106 | |
| 7 | 2019 | 104 | |
| 8 | 2012 | 99 | |
| 9 | 2014 | 95 | |
| 10 | 2013 | 76 | |
| 11 | 2016 | 63 | |
| 12 | 2016 | 57 | |
| 13 | 2012 | 57 | |
| 14 | 2009 | 55 | |
| 15 | 2005 | 54 | |
| 16 | 2003 | 50 | |
| 17 | 2015 | 46 | |
| 18 | 2018 | 45 | |
| 19 | 2019 | 38 | |
| 20 | 2024 | 35 |
About Mala Murthy
Mala Murthy is a scholar working on Developmental Biology, Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics, Genetics and Aging, having authored 44 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (32 papers), Animal Behavior and Reproduction (24 papers), Insect and Arachnid Ecology and Behavior (19 papers), Cellular transport and secretion (5 papers), Animal Vocal Communication and Behavior (4 papers), Neural dynamics and brain function (4 papers), Physiological and biochemical adaptations (3 papers) and Plant Reproductive Biology (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Aging (87 citations), Developmental Biology (102 citations), Cell Biology (626 citations) and Ecology, Evolution, Behavior and Systematics (666 citations). Mala Murthy has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Talmo Pereira, Joshua W. Shaevitz, Thomas L. Schwarz, Philip Coen, Jan Clemens, Samuel S.‐H. Wang, Diego A. Pacheco, Diego Aldarondo, Lindsay Willmore and Mikhail Kislin. Their work appears in journals such as Nature, Neuron, Current Biology, Proceedings of the National Academy of Sciences and Nature Neuroscience.
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.