Mani Ramaswami
- Cellular and Molecular Neuroscience top 0.5%
- Neurobiology and Insect Physiology Research 54
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms 9
- Cell Biology top 1%
- Cellular transport and secretion 26
- Molecular Biology top 2%
- Lipid Membrane Structure and Behavior 16
- RNA Research and Splicing 16
- Sensory Systems top 2%
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- Invertebrate Immune Response Mechanisms 10
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- Insect and Arachnid Ecology and Behavior 6
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- Animal Behavior and Reproduction 5
- Co-authors
- Roy ParkerK.S. KrishnanJ. Paul TaylorPatricia S. EstesSubhabrata SanyalMark A. TanouyeRadhakrishnan NarayananRegis B. Kelly
- Partner nations
- United StatesIrelandIndia
In The Last Decade
Mani Ramaswami
89 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Cellular and Molecular Neuroscience 2.5k
- Aging 239
- Cell Biology 1.2k
- Molecular Biology 3.3k
- Sensory Systems 230
Countries citing papers authored by Mani Ramaswami
This map shows the geographic impact of Mani Ramaswami'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 Mani Ramaswami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mani Ramaswami more than expected).
Fields of papers citing papers by Mani Ramaswami
This network shows the impact of papers produced by Mani Ramaswami. 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 Mani Ramaswami. The network helps show where Mani Ramaswami may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mani Ramaswami, 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 | 2024 | 4 | |
| 2 | 2021 | 19 | |
| 3 | 2020 | 15 | |
| 4 | 2017 | 100 | |
| 5 | 2015 | 35 | |
| 6 | 2015 | 40 | |
| 7 | 2013 | 29 | |
| 8 | 2012 | 40 | |
| 9 | 2009 | 10 | |
| 10 | 2006 | 4 | |
| 11 | Synaptic and genomic responses to JNK and AP-1 signaling in Drosophilaneurons | 2005 | 1 |
| 12 | 2005 | 25 | |
| 13 | 2004 | 52 | |
| 14 | 2002 | 24 | |
| 15 | 2002 | 150 | |
| 16 | 2001 | 17 | |
| 17 | 2000 | 109 | |
| 18 | 2000 | 25 | |
| 19 | 1998 | 135 | |
| 20 | 1994 | 167 |
About Mani Ramaswami
Mani Ramaswami is a scholar working on Aging, Cellular and Molecular Neuroscience and Cell Biology, having authored 90 papers that have together received 5.3k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (54 papers), Cellular transport and secretion (26 papers), Lipid Membrane Structure and Behavior (16 papers), RNA Research and Splicing (16 papers), Invertebrate Immune Response Mechanisms (10 papers), Genetics, Aging, and Longevity in Model Organisms (9 papers), Insect and Arachnid Ecology and Behavior (6 papers) and Animal Behavior and Reproduction (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.5k citations), Aging (239 citations) and Cell Biology (1.2k citations). Mani Ramaswami has collaborated with scholars based in United States, Ireland and India. Frequent co-authors include Roy Parker, K.S. Krishnan, J. Paul Taylor, Patricia S. Estes, Subhabrata Sanyal, Mark A. Tanouye, Radhakrishnan Narayanan, Regis B. Kelly, Paul Pavlidis and Jens Hillebrand. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.