Shruti Bhatt

1.5k total citations
37 papers, 658 citations indexed

About

Shruti Bhatt is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Shruti Bhatt has authored 37 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Pathology and Forensic Medicine and 15 papers in Oncology. Recurrent topics in Shruti Bhatt's work include Lymphoma Diagnosis and Treatment (14 papers), Acute Myeloid Leukemia Research (11 papers) and Protein Degradation and Inhibitors (9 papers). Shruti Bhatt is often cited by papers focused on Lymphoma Diagnosis and Treatment (14 papers), Acute Myeloid Leukemia Research (11 papers) and Protein Degradation and Inhibitors (9 papers). Shruti Bhatt collaborates with scholars based in United States, Singapore and India. Shruti Bhatt's co-authors include Izidore S. Lossos, Enrique A. Mesri, Juan Carlos Ramos, Xiaoyu Jiang, Yasodha Natkunam, Brittany M. Ashlock, Kristopher A. Sarosiek, Anthony Letai, Ngoc Toomey and Elena Cubedo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Blood.

In The Last Decade

Shruti Bhatt

33 papers receiving 655 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shruti Bhatt United States	14	274	261	190	155	149	37	658
Yuji Shimura Japan	15	226 0.8×	357 1.4×	199 1.0×	227 1.5×	57 0.4×	69	704
Kedar Inamdar United States	15	253 0.9×	393 1.5×	276 1.5×	50 0.3×	73 0.5×	39	772
Georgios Z. Rassidakis United States	17	414 1.5×	489 1.9×	375 2.0×	231 1.5×	96 0.6×	34	1.0k
Yoshiaki Chinen Japan	14	143 0.5×	291 1.1×	134 0.7×	170 1.1×	53 0.4×	49	513
Junjiro Tsuchiyama Japan	14	271 1.0×	252 1.0×	218 1.1×	96 0.6×	47 0.3×	30	674
Ludovic Lhermitte France	18	173 0.6×	273 1.0×	194 1.0×	259 1.7×	61 0.4×	47	932
J. Graham Sharp United States	12	250 0.9×	181 0.7×	159 0.8×	255 1.6×	83 0.6×	26	633
Luhong Sun United States	10	213 0.8×	286 1.1×	207 1.1×	104 0.7×	55 0.4×	19	564
Bruno A. Cardoso Portugal	14	230 0.8×	434 1.7×	65 0.3×	250 1.6×	91 0.6×	25	858
Nicholas Burwick United States	15	171 0.6×	393 1.5×	173 0.9×	313 2.0×	68 0.5×	36	753

Countries citing papers authored by Shruti Bhatt

Since Specialization

Citations

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

Fields of papers citing papers by Shruti Bhatt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shruti Bhatt

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

All Works

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20 of 20 papers shown

Tan, Jia, et al.. (2025). Protocol for the simultaneous activation and lentiviral transduction of primary human T cells with artificial T cell receptors. STAR Protocols. 6(1). 103685–103685.

Kumar, Harish, et al.. (2025). Expanding the role of alpha lipoic acid for psychiatric and neurological health. Journal of Asian Natural Products Research. 27(11). 1557–1587.

Wang, Yuhan, et al.. (2024). Decoding Acute Myeloid Leukemia: A Clinician’s Guide to Functional Profiling. Diagnostics. 14(22). 2560–2560. 2 indexed citations

Bhatt, Shruti, et al.. (2024). Therapeutic biomarkers in acute myeloid leukemia: functional and genomic approaches. Frontiers in Oncology. 14. 1275251–1275251. 6 indexed citations

Krishnan, Vaidehi, King Pan Ng, Chuqi Wang, et al.. (2024). The BIM deletion polymorphism potentiates the survival of leukemia stem and progenitor cells and impairs response to targeted therapies. Leukemia. 39(1). 134–143.

Bhatt, Shruti, et al.. (2024). Mitochondria and Acute Leukemia: A Clinician’s Perspective. International Journal of Molecular Sciences. 25(17). 9704–9704. 4 indexed citations

Mi, Yang, Yichen Wang, Philipp Mertins, et al.. (2024). Failure to Execute Caspase Activation Drives Therapy Resistance in TP53 Mutated AML. Blood. 144(Supplement 1). 53–53.

Wang, Chuqi, et al.. (2024). TP53 Mutation-Mediated Immune Evasion in Cancer: Mechanisms and Therapeutic Implications. Cancers. 16(17). 3069–3069. 26 indexed citations

Eide, Christopher A., Stephen E. Kurtz, Disha Malani, et al.. (2024). Mapping the Drug Combination Landscape for AML: An Integrative Ex Vivo Functional and Computational Approach. Blood. 144(Supplement 1). 271–271. 1 indexed citations

10.

Nair, Remya, Milan R. Savani, Shannon M. Matulis, et al.. (2024). Heme promotes venetoclax resistance in multiple myeloma through MEK-ERK signaling and purine biosynthesis. Blood. 145(7). 732–747. 1 indexed citations

11.

Jain, Nitin, Jacqueline S. Garcia, Gee Chuan Wong, et al.. (2023). BH3 profiling identifies BCL-2 dependence in adult patients with early T-cell progenitor acute lymphoblastic leukemia. Blood Advances. 7(12). 2917–2923. 3 indexed citations

12.

Jutzi, Jonas S., Anna E. Marneth, Ángel Guerra-Moreno, et al.. (2022). CALR-mutated cells are vulnerable to combined inhibition of the proteasome and the endoplasmic reticulum stress response. Leukemia. 37(2). 359–369. 13 indexed citations

13.

Adamia, Sophia, Shruti Bhatt, Kenneth Wen, et al.. (2022). Combination therapy targeting Erk1/2 and CDK4/6i in relapsed refractory multiple myeloma. Leukemia. 36(4). 1088–1101. 10 indexed citations

14.

Bhatt, Shruti, et al.. (2021). Dynamic BH3 profiling method for rapid identification of active therapy in BH3 mimetics resistant xenograft mouse models. STAR Protocols. 2(2). 100461–100461. 2 indexed citations

15.

Lone, Mohsin Y., Mohd Athar, Anu Manhas, et al.. (2017). In Silico Exploration of Vinca Domain Tubulin Inhibitors: A Combination of 3D‐QSAR‐Based Pharmacophore Modeling, Docking and Molecular Dynamics Simulations. ChemistrySelect. 2(33). 10848–10853. 9 indexed citations

16.

Crombie, Jennifer L., Kristopher A. Sarosiek, Amanda L. Christie, et al.. (2017). Dynamic BH3 Profiling Reveals Novel Therapeutic Strategies for the Treatment of Double-Hit Lymphoma. Blood. 130. 2764–2764. 2 indexed citations

17.

Bhatt, Shruti, Salma Parvin, Yu Zhang, et al.. (2017). Anti-CD20-interleukin-21 fusokine targets malignant B cells via direct apoptosis and NK-cell–dependent cytotoxicity. Blood. 129(16). 2246–2256. 25 indexed citations

18.

Bhatt, Shruti, Kristopher A. Sarosiek, & Izidore S. Lossos. (2016). Interleukin 21 – its potential role in the therapy of B-cell lymphomas. Leukemia & lymphoma. 58(1). 17–29. 18 indexed citations

19.

Bhatt, Shruti, Xiaoyan Lu, Fangyu Guo, et al.. (2015). Chlamydophila psittaci-negative ocular adnexal marginal zone lymphomas express self polyreactive B-cell receptors. Leukemia. 29(7). 1587–1599. 19 indexed citations

20.

Bhatt, Shruti, Brittany M. Ashlock, Ngoc Toomey, et al.. (2013). Efficacious proteasome/HDAC inhibitor combination therapy for primary effusion lymphoma. Journal of Clinical Investigation. 123(6). 2616–2628. 52 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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