Narendra Pathak
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Zebrafish Biomedical Research Applications
- Genetics top 5%
- Genetic and Kidney Cyst Diseases
Papers in
-
- Epigenetics and DNA Methylation 3
- Renal and related cancers 3
- Protist diversity and phylogeny 2
- Receptor Mechanisms and Signaling 2
- Genetics 7
- Genetic and Kidney Cyst Diseases 7
- Co-authors
- Iain A. Drummond (8 shared papers)Yan Liu (3 shared papers)Albrecht Kramer-Zucker (1 shared paper)Christina Austin‐Tse (2 shared papers)Steve Mangos (1 shared paper)Tomoko Obara (1 shared paper)Christine Insinna (1 shared paper)Brian D. Perkins (1 shared paper)
- Journals
- Molecular Biology of the Cell (2 papers)Journal of Biological Chemistry (1 paper)Journal of the American Society of Nephrology (1 paper)Journal of Neuroscience (1 paper)Glia (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Narendra Pathak
15 papers receiving 778 citations
Peers
Comparison fields: 5 of 81
- Cell Biology 267
- Genetics 397
- Developmental Neuroscience 36
- Molecular Biology 591
- Cellular and Molecular Neuroscience 88
Countries citing papers authored by Narendra Pathak
This map shows the geographic impact of Narendra Pathak'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 Narendra Pathak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Narendra Pathak more than expected).
Fields of papers citing papers by Narendra Pathak
This network shows the impact of papers produced by Narendra Pathak. 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 Narendra Pathak. The network helps show where Narendra Pathak may publish in the future.
Co-authors
The 25 scholars most cited alongside Narendra Pathak, 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 | 2007 | 180 | |
| 2 | 2007 | 155 | |
| 3 | 2008 | 117 | |
| 4 | 2011 | 81 | |
| 5 | 2016 | 64 | |
| 6 | 2004 | 55 | |
| 7 | 2014 | 41 | |
| 8 | 2012 | 29 | |
| 9 | 2003 | 21 | |
| 10 | 2014 | 18 | |
| 11 | 2020 | 9 | |
| 12 | 2009 | 6 | |
| 13 | 1985 | 5 | |
| 14 | 2023 | 2 | |
| 15 | 2021 | 1 |
About Narendra Pathak
Narendra Pathak is a scholar working on Molecular Biology, Genetics, Cell Biology, Cellular and Molecular Neuroscience and Nephrology, having authored 15 papers that have together received 784 indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (7 papers), Microtubule and mitosis dynamics (5 papers), Epigenetics and DNA Methylation (3 papers), Renal and related cancers (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Protist diversity and phylogeny (2 papers), Receptor Mechanisms and Signaling (2 papers) and Insect Pheromone Research and Control (1 paper). The work is most often cited by research in Cell Biology (267 citations), Genetics (397 citations), Developmental Neuroscience (36 citations), Molecular Biology (591 citations) and Cellular and Molecular Neuroscience (88 citations). Narendra Pathak has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Iain A. Drummond, Yan Liu, Albrecht Kramer-Zucker, Christina Austin‐Tse, Steve Mangos, Tomoko Obara, Christine Insinna, Brian D. Perkins, Joseph C. Besharse and Michele H. Jacob. Their work appears in journals such as Molecular Biology of the Cell, Journal of Biological Chemistry, Journal of the American Society of Nephrology, Journal of Neuroscience and Glia.
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.