Subhadra V. Nandula
- Molecular Biology top 5%
- Oncology top 5%
- Pathology and Forensic Medicine top 1%
- Cancer Research top 2%
- Immunology top 5%
- Co-authors
- Vundavalli V. MurtyRiccardo Dalla‐FaveraLaura PasqualucciMara CompagnoGovind BhagatQiong ShenAdina GrunnFrancesco Bertoni
- Topics
- Lymphoma Diagnosis and Treatment (11 papers)Chronic Lymphocytic Leukemia Research (6 papers)Genomic variations and chromosomal abnormalities (5 papers)
- Partner nations
- United StatesColombiaSwitzerland
In The Last Decade
Subhadra V. Nandula
30 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Molecular Biology 1.4k
- Oncology 894
- Pathology and Forensic Medicine 885
- Cancer Research 782
- Immunology 690
Countries citing papers authored by Subhadra V. Nandula
This map shows the geographic impact of Subhadra V. Nandula'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 Subhadra V. Nandula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhadra V. Nandula more than expected).
Fields of papers citing papers by Subhadra V. Nandula
This network shows the impact of papers produced by Subhadra V. Nandula. 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 Subhadra V. Nandula. The network helps show where Subhadra V. Nandula may publish in the future.
Co-authorship network of co-authors of Subhadra V. Nandula
This figure shows the co-authorship network connecting the top 25 collaborators of Subhadra V. Nandula. A scholar is included among the top collaborators of Subhadra V. Nandula 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 Subhadra V. Nandula. Subhadra V. Nandula is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Chronic Lymphocytic Leukemia Transdifferentiates into Neuroendocrine Carcinoma: A Case Report of a New Phenomenon | 1 |
| 2 | 79 | |
| 3 | 27 | |
| 4 | 8 | |
| 5 | 184 | |
| 6 | Mutations of multiple genes cause deregulation of NF-κB in diffuse large B-cell lymphomabreakdown → | 795 |
| 7 | 4 | |
| 8 | 270 | |
| 9 | 103 | |
| 10 | 19 | |
| 11 | 12 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 167 | |
| 15 | 263 | |
| 16 | 39 | |
| 17 | 9 | |
| 18 | 25 | |
| 19 | 271 | |
| 20 | 23 |
About Subhadra V. Nandula
Subhadra V. Nandula is a scholar working on Pathology and Forensic Medicine, Cancer Research and Genetics, having authored 30 papers that have together received 2.7k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (11 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Genomic variations and chromosomal abnormalities (5 papers). The work is most often cited by research in Cancer Research (782 citations), Pathology and Forensic Medicine (885 citations) and Genetics (400 citations). Subhadra V. Nandula has collaborated with scholars based in United States, Colombia and Switzerland. Frequent co-authors include Vundavalli V. Murty, Riccardo Dalla‐Favera, Laura Pasqualucci, Mara Compagno, Govind Bhagat, Qiong Shen, Adina Grunn, Francesco Bertoni, Mahesh Mansukhani and Gopeshwar Narayan. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.