Deepak Nijhawan
- Molecular Biology top 0.5%
- Oncology top 2%
- Immunology top 2%
- Epidemiology top 2%
- Cancer Research top 2%
- Co-authors
- Xiaodong WangManzoor AhmadPeng LiSrinivasa M. SrinivasulaI. Imawati BudihardjoEmad S. AlnemriNarimon HonarpourTing Han
- Topics
- Cancer, Lipids, and Metabolism (5 papers)RNA modifications and cancer (5 papers)Mitochondrial Function and Pathology (4 papers)
- Partner nations
- United StatesGermanyTunisia
In The Last Decade
Deepak Nijhawan
28 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 6.8k
- Oncology 1.4k
- Immunology 1.2k
- Epidemiology 981
- Cancer Research 955
Countries citing papers authored by Deepak Nijhawan
This map shows the geographic impact of Deepak Nijhawan'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 Deepak Nijhawan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Nijhawan more than expected).
Fields of papers citing papers by Deepak Nijhawan
This network shows the impact of papers produced by Deepak Nijhawan. 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 Deepak Nijhawan. The network helps show where Deepak Nijhawan may publish in the future.
Co-authorship network of co-authors of Deepak Nijhawan
This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Nijhawan. A scholar is included among the top collaborators of Deepak Nijhawan 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 Deepak Nijhawan. Deepak Nijhawan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 10 | |
| 3 | 33 | |
| 4 | 31 | |
| 5 | 12 | |
| 6 | 90 | |
| 7 | 130 | |
| 8 | 10 | |
| 9 | 3 | |
| 10 | Anticancer sulfonamides target splicing by inducing RBM39 degradation via recruitment to DCAF15breakdown → | 511 |
| 11 | 61 | |
| 12 | 80 | |
| 13 | 183 | |
| 14 | 161 | |
| 15 | 47 | |
| 16 | Elimination of Mcl-1 is required for the initiation of apoptosis following ultraviolet irradiationbreakdown → | 502 |
| 17 | 126 | |
| 18 | Cytochrome c and dATP-Dependent Formation of Apaf-1/Caspase-9 Complex Initiates an Apoptotic Protease Cascadebreakdown → | 6227 |
| 19 | 383 | |
| 20 | 73 |
About Deepak Nijhawan
Deepak Nijhawan is a scholar working on Cancer Research, Molecular Biology and Biochemistry, having authored 28 papers that have together received 9.1k indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (5 papers), RNA modifications and cancer (5 papers) and Mitochondrial Function and Pathology (4 papers). The work is most often cited by research in Molecular Biology (6.8k citations), Cancer Research (955 citations) and Immunology (1.2k citations). Deepak Nijhawan has collaborated with scholars based in United States, Germany and Tunisia. Frequent co-authors include Xiaodong Wang, Manzoor Ahmad, Peng Li, Srinivasa M. Srinivasula, I. Imawati Budihardjo, Emad S. Alnemri, Narimon Honarpour, Ting Han, Jiwoong Kim and Yang Xie. Their work appears in journals such as Science, Cell 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.