Ajay K. Nooka
- Hematology top 0.1%
- Oncology top 0.5%
- Molecular Biology top 2%
- Genetics top 1%
- Pathology and Forensic Medicine top 2%
- Co-authors
- Sagar LonialJonathan L. KaufmanLawrence BoiseMaría‐Victoria MateosVikas A. GuptaKatja WeiselXiang QinAndrew Spencer
- Topics
- Multiple Myeloma Research and Treatments (227 papers)Protein Degradation and Inhibitors (83 papers)Cancer Treatment and Pharmacology (45 papers)
- Cited by
- HematologyOncologyGenetics
- Journals
- New England Journal of MedicineJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesSpainCanada
In The Last Decade
Ajay K. Nooka
251 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Hematology 3.5k
- Oncology 3.4k
- Molecular Biology 2.9k
- Genetics 623
- Pathology and Forensic Medicine 578
Countries citing papers authored by Ajay K. Nooka
This map shows the geographic impact of Ajay K. Nooka'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 Ajay K. Nooka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajay K. Nooka more than expected).
Fields of papers citing papers by Ajay K. Nooka
This network shows the impact of papers produced by Ajay K. Nooka. 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 Ajay K. Nooka. The network helps show where Ajay K. Nooka may publish in the future.
Co-authorship network of co-authors of Ajay K. Nooka
This figure shows the co-authorship network connecting the top 25 collaborators of Ajay K. Nooka. A scholar is included among the top collaborators of Ajay K. Nooka 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 Ajay K. Nooka. Ajay K. Nooka 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 36 | |
| 9 | 28 | |
| 10 | 7 | |
| 11 | 12 | |
| 12 | 14 | |
| 13 | 10 | |
| 14 | 132 | |
| 15 | Dreamm-4: evaluating safety and clinical activity of belantamab mafodotin (belamaf) in combination with pembrolizumab in patients with relapsed/refractory multiple myeloma (rrmm) | 1 |
| 16 | 76 | |
| 17 | 5 | |
| 18 | 117 | |
| 19 | 34 | |
| 20 | 1 |
About Ajay K. Nooka
Ajay K. Nooka is a scholar working on Hematology, Oncology and Genetics, having authored 282 papers that have together received 6.0k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (227 papers), Protein Degradation and Inhibitors (83 papers) and Cancer Treatment and Pharmacology (45 papers). The work is most often cited by research in Hematology (3.5k citations), Oncology (3.4k citations) and Genetics (623 citations). Ajay K. Nooka has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Sagar Lonial, Jonathan L. Kaufman, Lawrence Boise, María‐Victoria Mateos, Vikas A. Gupta, Katja Weisel, Xiang Qin, Andrew Spencer, Pieter Sonneveld and Vânia Hungria. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.