Shonali Midha

762 total citations
30 papers, 273 citations indexed

About

Shonali Midha is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Shonali Midha has authored 30 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Hematology, 12 papers in Molecular Biology and 10 papers in Oncology. Recurrent topics in Shonali Midha's work include Multiple Myeloma Research and Treatments (19 papers), Protein Degradation and Inhibitors (9 papers) and CAR-T cell therapy research (6 papers). Shonali Midha is often cited by papers focused on Multiple Myeloma Research and Treatments (19 papers), Protein Degradation and Inhibitors (9 papers) and CAR-T cell therapy research (6 papers). Shonali Midha collaborates with scholars based in United States, Australia and Japan. Shonali Midha's co-authors include Alexandria N. Miller, Daniel G. Herrera, Petr Protiva, Neil L. Harrison, Limei Ma, Leonardo Pignataro, Ann Marie Zavacki, Elizabeth M. Sajdel-Sulkowska, Clifton C. Mo and Paul G. Richardson and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Shonali Midha

27 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shonali Midha United States 9 128 106 93 27 26 30 273
Béatrice Lintermans Belgium 12 203 1.6× 46 0.4× 44 0.5× 12 0.4× 87 3.3× 22 329
Juan Ramón Tejedor Spain 14 487 3.8× 20 0.2× 37 0.4× 6 0.2× 9 0.3× 27 621
Katerina Vlahos Australia 6 59 0.5× 47 0.4× 45 0.5× 4 0.1× 6 0.2× 11 256
Francesca Bertola Italy 10 66 0.5× 76 0.7× 17 0.2× 5 0.2× 35 1.3× 20 291
Celeste B. Greer United States 10 383 3.0× 14 0.1× 36 0.4× 7 0.3× 26 1.0× 10 463
Rocío Rodriguez Spain 8 155 1.2× 20 0.2× 32 0.3× 4 0.1× 31 1.2× 16 297
Barbara Lindau‐Shepard United States 15 300 2.3× 10 0.1× 19 0.2× 31 1.1× 69 2.7× 21 599
Andrew Cluster United States 7 165 1.3× 100 0.9× 19 0.2× 2 0.1× 112 4.3× 20 340
Satoshi Yoshimura United States 9 182 1.4× 30 0.3× 77 0.8× 6 0.2× 47 1.8× 13 385
Abhijeet Joshi Germany 11 105 0.8× 26 0.2× 65 0.7× 22 0.8× 115 4.4× 19 359

Countries citing papers authored by Shonali Midha

Since Specialization
Citations

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

Fields of papers citing papers by Shonali Midha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shonali Midha

This figure shows the co-authorship network connecting the top 25 collaborators of Shonali Midha. A scholar is included among the top collaborators of Shonali Midha 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 Shonali Midha. Shonali Midha 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.
Little, Jessica S, Andrew J. Yee, Omar Nadeem, et al.. (2025). Invasive fungal disease is rare in patients with relapsed/refractory multiple myeloma treated with BCMA CAR T-cell therapy. Blood Advances. 9(16). 4190–4194. 1 indexed citations
2.
Banerjee, Rahul, Meera Mohan, Kai Rejeski, et al.. (2025). Immunoglobulin prophylaxis should be initiated after bispecific antibody therapy in multiple myeloma, regardless of IgG levels. Blood Advances. 9(18). 4720–4726. 2 indexed citations
3.
Mo, Clifton C., et al.. (2025). SOHO State of the Art Updates and Next Questions | Late/Deferred ASCT in Myeloma. Clinical Lymphoma Myeloma & Leukemia. 25(11). 775–787.
4.
Agarwal, Amit, Shonali Midha, Sundar Jagannath, et al.. (2025). A cross-cultural study translating and validating the COMPAT-SF pain questionnaire in Telugu, Bengali and Hindi. Indian Journal of Gastroenterology. 44(5). 684–691.
5.
Banerjee, Rahul, et al.. (2024). Disparities in relapsed or refractory multiple myeloma: recommendations from an interprofessional consensus panel. Blood Cancer Journal. 14(1). 149–149. 7 indexed citations
6.
Mo, Clifton C., et al.. (2024). Mezigdomide—A Novel Cereblon E3 Ligase Modulator under Investigation in Relapsed/Refractory Multiple Myeloma. Cancers. 16(6). 1166–1166. 8 indexed citations
7.
O’Donnell, Elizabeth, Clifton C. Mo, Andrew J. Yee, et al.. (2024). Isatuximab, carfilzomib, lenalidomide, and dexamethasone in patients with newly diagnosed, transplantation-eligible multiple myeloma (SKylaRk): a single-arm, phase 2 trial. The Lancet Haematology. 11(6). e415–e424. 8 indexed citations
8.
9.
Reynolds, Gemma, Edward R. Scheffer Cliff, Ghulam Rehman Mohyuddin, et al.. (2023). Infections following bispecific antibodies in myeloma: a systematic review and meta-analysis. Blood Advances. 7(19). 5898–5903. 42 indexed citations
10.
Mo, Clifton C., Andrew J. Yee, Shonali Midha, et al.. (2023). Selinexor: Targeting a novel pathway in multiple myeloma. SHILAP Revista de lepidopterología. 4(3). 792–810. 17 indexed citations
11.
Midha, Shonali & Kenneth C. Anderson. (2023). Determinants of response and resistance to T cell-engaging therapies in multiple myeloma. Nature Reviews Clinical Oncology. 20(8). 505–506. 5 indexed citations
12.
Selamet, Umut, Shonali Midha, Omar Nadeem, et al.. (2023). Clinical Outcomes of Monoclonal Gammopathy of Renal Significance Without Detectable Clones. Kidney International Reports. 8(12). 2765–2777. 1 indexed citations
13.
14.
Midha, Shonali, Omar Nadeem, & Umut Selamet. (2022). Updates in Plasma Cell Dyscrasias and Related Monoclonal Immunoglobulin-Mediated Renal Disease. Seminars in Nephrology. 42(6). 151352–151352. 1 indexed citations
15.
Jain, Akriti, Shonali Midha, Ankita Patel, et al.. (2022). Can we lower the platelet threshold of ≥ 50 × 109/L for performing a lumbar puncture safely in patients with hematological malignancies?. Annals of Hematology. 102(3). 663–668. 2 indexed citations
16.
Jain, Akriti, et al.. (2021). Can We Lower the Platelet Threshold of ≥50x10 9/L for Performing a Lumbar Puncture Safely in Patients with Hematological Malignancies?. Blood. 138(Supplement 1). 1888–1888. 1 indexed citations
17.
Midha, Shonali, Julio C. Chávez, Hayder Saeed, et al.. (2019). The Grey Zone: Characterization of Aggressive High-Grade B-Cell Malignancy with TdT Expression and IGH/BCL2 and MYC Rearrangement. Blood. 134(Supplement_1). 5347–5347.
18.
Xu, Ming, Anzalee Khan, Shonali Midha, et al.. (2013). Effects of Perinatal Lipopolysaccharide (LPS) Exposure on the Developing Rat Brain; Modeling the Effect of Maternal Infection on the Developing Human CNS. The Cerebellum. 12(4). 572–586. 13 indexed citations
19.
20.
Pignataro, Leonardo, Alexandria N. Miller, Limei Ma, et al.. (2007). Alcohol Regulates Gene Expression in Neurons via Activation of Heat Shock Factor 1. Journal of Neuroscience. 27(47). 12957–12966. 66 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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