Raja Sekhar Nirujogi
- Molecular Biology top 10%
- Neurology top 2%
- Cell Biology top 5%
- Cellular and Molecular Neuroscience top 5%
- Epidemiology top 10%
- Co-authors
- Akhilesh PandeyGraham H. DieringRichard L. HuganirDario R. AlessiPaul WorleyRichard H. RothFrancesca TonelliPaweł Lis
- Topics
- Cellular transport and secretion (9 papers)Ubiquitin and proteasome pathways (5 papers)Advanced Proteomics Techniques and Applications (5 papers)
- Journals
- ScienceProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Raja Sekhar Nirujogi
57 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Molecular Biology 1.2k
- Neurology 522
- Cell Biology 451
- Cellular and Molecular Neuroscience 386
- Epidemiology 263
Countries citing papers authored by Raja Sekhar Nirujogi
This map shows the geographic impact of Raja Sekhar Nirujogi'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 Raja Sekhar Nirujogi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raja Sekhar Nirujogi more than expected).
Fields of papers citing papers by Raja Sekhar Nirujogi
This network shows the impact of papers produced by Raja Sekhar Nirujogi. 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 Raja Sekhar Nirujogi. The network helps show where Raja Sekhar Nirujogi may publish in the future.
Co-authorship network of co-authors of Raja Sekhar Nirujogi
This figure shows the co-authorship network connecting the top 25 collaborators of Raja Sekhar Nirujogi. A scholar is included among the top collaborators of Raja Sekhar Nirujogi 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 Raja Sekhar Nirujogi. Raja Sekhar Nirujogi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 27 | |
| 4 | 16 | |
| 5 | 2 | |
| 6 | 51 | |
| 7 | 24 | |
| 8 | 13 | |
| 9 | 80 | |
| 10 | Homer1a drives homeostatic scaling-down of excitatory synapses during sleepbreakdown → | 344 |
| 11 | Systematic proteomic analysis of LRRK2-mediated Rab GTPase phosphorylation establishes a connection to ciliogenesisbreakdown → | 329 |
| 12 | 12 | |
| 13 | 32 | |
| 14 | 17 | |
| 15 | 11 | |
| 16 | 13 | |
| 17 | 25 | |
| 18 | 15 | |
| 19 | 121 | |
| 20 | 24 |
About Raja Sekhar Nirujogi
Raja Sekhar Nirujogi is a scholar working on Aging, Cell Biology and Molecular Biology, having authored 59 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cellular transport and secretion (9 papers), Ubiquitin and proteasome pathways (5 papers) and Advanced Proteomics Techniques and Applications (5 papers). The work is most often cited by research in Neurology (522 citations), Cell Biology (451 citations) and Cellular and Molecular Neuroscience (386 citations). Raja Sekhar Nirujogi has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Akhilesh Pandey, Graham H. Diering, Richard L. Huganir, Dario R. Alessi, Paul Worley, Richard H. Roth, Francesca Tonelli, Paweł Lis, Thottethodi Subrahmanya Keshava Prasad and Harsha Gowda. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.