Nihar Ranjan Jana
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 1%
- Physiology top 2%
- Cell Biology top 1%
- Genetics top 2%
- Co-authors
- Nobuyuki NukinaNikhil R. JanaPriyanka DikshitAnand GoswamiAmit MishraKoushik DebnathHiroshi DoiSwetha K. Godavarthi
- Topics
- Genetic Neurodegenerative Diseases (39 papers)Mitochondrial Function and Pathology (22 papers)Ubiquitin and proteasome pathways (22 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Medicine
- Partner nations
- IndiaJapanUnited States
In The Last Decade
Nihar Ranjan Jana
106 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 3.3k
- Cellular and Molecular Neuroscience 1.6k
- Physiology 950
- Cell Biology 846
- Genetics 796
Countries citing papers authored by Nihar Ranjan Jana
This map shows the geographic impact of Nihar Ranjan Jana'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 Nihar Ranjan Jana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nihar Ranjan Jana more than expected).
Fields of papers citing papers by Nihar Ranjan Jana
This network shows the impact of papers produced by Nihar Ranjan Jana. 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 Nihar Ranjan Jana. The network helps show where Nihar Ranjan Jana may publish in the future.
Co-authorship network of co-authors of Nihar Ranjan Jana
This figure shows the co-authorship network connecting the top 25 collaborators of Nihar Ranjan Jana. A scholar is included among the top collaborators of Nihar Ranjan Jana based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nihar Ranjan Jana. Nihar Ranjan Jana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 22 | |
| 6 | 33 | |
| 7 | 30 | |
| 8 | 2 | |
| 9 | 25 | |
| 10 | 41 | |
| 11 | 30 | |
| 12 | 17 | |
| 13 | 81 | |
| 14 | 58 | |
| 15 | 16 | |
| 16 | 74 | |
| 17 | 20 | |
| 18 | 363 | |
| 19 | 11 | |
| 20 | Binding of thyroid hormone to freshwater perch Leydig cell nuclei-rich preparation and its functional relevance | 9 |
About Nihar Ranjan Jana
Nihar Ranjan Jana is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Genetics, having authored 109 papers that have together received 5.5k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (39 papers), Mitochondrial Function and Pathology (22 papers) and Ubiquitin and proteasome pathways (22 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.6k citations), Aging (152 citations) and Cell Biology (846 citations). Nihar Ranjan Jana has collaborated with scholars based in India, Japan and United States. Frequent co-authors include Nobuyuki Nukina, Nikhil R. Jana, Priyanka Dikshit, Anand Goswami, Amit Mishra, Koushik Debnath, Hiroshi Doi, Swetha K. Godavarthi, Jai Prakash Sharma and Munenori Nekooki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.
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.