Radhika Bansal

1.8k total citations
60 papers, 668 citations indexed

About

Radhika Bansal is a scholar working on Oncology, Immunology and Hematology. According to data from OpenAlex, Radhika Bansal has authored 60 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Oncology, 12 papers in Immunology and 10 papers in Hematology. Recurrent topics in Radhika Bansal's work include CAR-T cell therapy research (33 papers), Multiple Myeloma Research and Treatments (9 papers) and Biosimilars and Bioanalytical Methods (9 papers). Radhika Bansal is often cited by papers focused on CAR-T cell therapy research (33 papers), Multiple Myeloma Research and Treatments (9 papers) and Biosimilars and Bioanalytical Methods (9 papers). Radhika Bansal collaborates with scholars based in United States, India and United Kingdom. Radhika Bansal's co-authors include Sunita Gupta, Nidhi Jindal, Michael Craigen, Sanjeev Gupta, Sagar Rakshit, Shaji Kumar, Yi Lin, Yucai Wang, Sikander Ailawadhi and Jonas Paludo and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Radhika Bansal

54 papers receiving 655 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Radhika Bansal United States 14 282 146 136 72 69 60 668
Yicheng Zhang China 18 414 1.5× 330 2.3× 218 1.6× 14 0.2× 64 0.9× 126 1.1k
Jun Deng China 14 141 0.5× 388 2.7× 94 0.7× 9 0.1× 47 0.7× 35 997
Alessia Villani Italy 20 241 0.9× 235 1.6× 33 0.2× 22 0.3× 78 1.1× 75 1.1k
Carmen Cantisani Italy 16 295 1.0× 168 1.2× 18 0.1× 54 0.8× 90 1.3× 104 1.2k
Shaobing Wang China 15 136 0.5× 1.3k 8.7× 123 0.9× 33 0.5× 194 2.8× 42 2.0k
Dan Liu China 19 168 0.6× 221 1.5× 28 0.2× 12 0.2× 138 2.0× 74 1.1k
Kun He China 19 324 1.1× 533 3.7× 74 0.5× 5 0.1× 39 0.6× 44 1.2k
Yufan Wu China 18 70 0.2× 183 1.3× 8 0.1× 28 0.4× 90 1.3× 74 728
Xiaoxi Lin China 14 107 0.4× 74 0.5× 13 0.1× 17 0.2× 257 3.7× 62 581

Countries citing papers authored by Radhika Bansal

Since Specialization
Citations

This map shows the geographic impact of Radhika Bansal'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 Radhika Bansal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radhika Bansal more than expected).

Fields of papers citing papers by Radhika Bansal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Radhika Bansal. 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 Radhika Bansal. The network helps show where Radhika Bansal may publish in the future.

Co-authorship network of co-authors of Radhika Bansal

This figure shows the co-authorship network connecting the top 25 collaborators of Radhika Bansal. A scholar is included among the top collaborators of Radhika Bansal 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 Radhika Bansal. Radhika Bansal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bansal, Radhika, Monica Shaw, Arushi Khurana, et al.. (2024). Real World Outcomes with Evolving Management of Cytokine Release Syndrome in CAR-T Therapy. Blood. 144(Supplement 1). 2274–2274. 1 indexed citations
2.
Bansal, Radhika, Hassan B. Alkhateeb, Stephen M. Ansell, et al.. (2024). Metformin and cytokine release syndrome after immune effector cell therapy.. Journal of Clinical Oncology. 42(16_suppl). e14535–e14535.
3.
Rejeski, Kai, Yucai Wang, Doris K. Hansen, et al.. (2024). Applying the EHA/EBMT grading for ICAHT after CAR-T: comparative incidence and association with infections and mortality. Blood Advances. 8(8). 1857–1868. 29 indexed citations
4.
Abdallah, Nadine, S. C. Gupta, Suheil Albert Atallah‐Yunes, et al.. (2024). P-001 Impact of Age and Frailty on Outcomes of Patients with Multiple Myeloma Receiving CAR T-Cell Therapies – A Single Center Experience. Clinical Lymphoma Myeloma & Leukemia. 24. S40–S40.
5.
Bansal, Radhika, Paschalis Vergidis, Pritish K. Tosh, et al.. (2024). Serial Evaluation of Preimmunization Antibody Titers in Lymphoma Patients Receiving Chimeric Antigen Receptor T Cell Therapy. Transplantation and Cellular Therapy. 30(4). 455.e1–455.e7. 1 indexed citations
6.
Bansal, Radhika, et al.. (2024). High‐Detectivity GeSn Mid‐Infrared Photodetectors for Sensitive Infrared Spectroscopy. SHILAP Revista de lepidopterología. 6(6).
7.
Bansal, Radhika, Jeremy T. Larsen, Matthew Hathcock, et al.. (2023). Prognostic value of early bone marrow MRD status in CAR-T therapy for myeloma. Blood Cancer Journal. 13(1). 47–47. 13 indexed citations
8.
Breen, William G., Jason R. Young, Matthew Hathcock, et al.. (2023). Metabolic PET/CT analysis of aggressive Non-Hodgkin lymphoma prior to Axicabtagene Ciloleucel CAR-T infusion: predictors of progressive disease, survival, and toxicity. Blood Cancer Journal. 13(1). 127–127. 12 indexed citations
9.
Rejeski, Kai, Doris K. Hansen, Yucai Wang, et al.. (2023). Applying the Novel EHA/EBMT Grading System for Icaht Following CAR-T Therapy: Comparative Incidence across Disease Entities and Association with Infections and Mortality. Blood. 142(Supplement 1). 359–359. 1 indexed citations
10.
11.
Kourelis, Taxiarchis, Radhika Bansal, Jesús G. Berdeja, et al.. (2023). Ethical Challenges with Multiple Myeloma BCMA Chimeric Antigen Receptor T Cell Slot Allocation: A Multi-Institution Experience. Transplantation and Cellular Therapy. 29(4). 255–258. 35 indexed citations
12.
Popat, Rakesh, Joaquín Martínez‐López, Efstathios Kastritis, et al.. (2023). Real-World Evaluation of Teclistamab for the Treatment of Relapsed/Refractory Multiple Myeloma (RRMM). Blood. 142(Supplement 1). 3347–3347. 7 indexed citations
13.
Bansal, Radhika, Jeremy T. Larsen, Matthew Hathcock, et al.. (2022). Prognostic Value of Early Bone Marrow MRD Status in CAR-T Therapy for Myeloma. Transplantation and Cellular Therapy. 28(3). S186–S187. 2 indexed citations
14.
Iqbal, Madiha, Radhika Bansal, Allison Rosenthal, et al.. (2022). Impact of Rituximab and Corticosteroids on Late Cytopenias Post-Chimeric Antigen Receptor T Cell Therapy. Transplantation and Cellular Therapy. 28(10). 668.e1–668.e6. 5 indexed citations
15.
Dolezal, James M., Andrew Srisuwananukorn, Dmitry Karpeyev, et al.. (2022). Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology. Nature Communications. 13(1). 6572–6572. 75 indexed citations
16.
Bansal, Radhika, Sagar Rakshit, & Shaji Kumar. (2021). Extramedullary disease in multiple myeloma. Blood Cancer Journal. 11(9). 161–161. 57 indexed citations
17.
Khurana, Arushi, Radhika Bansal, Matthew Hathcock, et al.. (2021). Polatuzumab Vedotin Use before Chimeric Antigen Receptor T-Cell (CAR-T) Therapy in Aggressive Lymphoma: A US Single Center Experience. Blood. 138(Supplement 1). 3842–3842. 1 indexed citations
18.
Khurana, Arushi, Matthew Hathcock, Radhika Bansal, et al.. (2021). Response to Bridging Therapy As a Predictor of Outcomes for Chimeric Antigen Receptor Therapy in Large B-Cell Lymphoma. Blood. 138(Supplement 1). 3841–3841. 1 indexed citations
19.
Bansal, Radhika, et al.. (2016). Nonmetric analysis of caroticoclinoid foramen in foothills of Himalayas: Its clinicoanatomic perspective. Morphologie. 101(332). 47–51. 5 indexed citations
20.
Bansal, Radhika, et al.. (2014). Neonatal Septicemia Caused by Salmonella paratyphi A in Two Nonbreast Fed Babies: Report from a Rural Teaching Hospital in India. Journal of Clinical Neonatology. 3(3). 180–180. 2 indexed citations

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.

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