Malathi Kandarpa

1.2k total citations
44 papers, 441 citations indexed

About

Malathi Kandarpa is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Malathi Kandarpa has authored 44 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 26 papers in Hematology and 17 papers in Genetics. Recurrent topics in Malathi Kandarpa's work include Multiple Myeloma Research and Treatments (18 papers), Protein Degradation and Inhibitors (12 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (12 papers). Malathi Kandarpa is often cited by papers focused on Multiple Myeloma Research and Treatments (18 papers), Protein Degradation and Inhibitors (12 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (12 papers). Malathi Kandarpa collaborates with scholars based in United States, Poland and United Kingdom. Malathi Kandarpa's co-authors include Moshe Talpaz, Andrzej Jakubowiak, Harish Potu, Luke F. Peterson, Nicholas J. Donato, Hanshi Sun, Xueying Liu, Robert C. Piper, Yi‐Hong Liu and Scott A. Soleimanpour and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and The Journal of Cell Biology.

In The Last Decade

Malathi Kandarpa

37 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Malathi Kandarpa United States 9 335 170 155 59 51 44 441
P. Dieringer United States 7 299 0.9× 150 0.9× 203 1.3× 24 0.4× 29 0.6× 10 501
Xiaoying Qi China 13 346 1.0× 311 1.8× 183 1.2× 49 0.8× 86 1.7× 31 515
Daniel Sasca Germany 8 307 0.9× 210 1.2× 73 0.5× 48 0.8× 40 0.8× 20 473
Laura Quotti Tubi Italy 10 275 0.8× 118 0.7× 114 0.7× 28 0.5× 98 1.9× 21 411
Martina Manzoni Italy 11 463 1.4× 204 1.2× 76 0.5× 21 0.4× 47 0.9× 19 569
Aurelia Lamanuzzi Italy 14 309 0.9× 230 1.4× 147 0.9× 41 0.7× 27 0.5× 19 478
Carlotta Zerbinati Italy 11 388 1.2× 54 0.3× 228 1.5× 48 0.8× 53 1.0× 11 559
Martin Kirschner Germany 13 196 0.6× 134 0.8× 87 0.6× 20 0.3× 105 2.1× 33 389
Cristina Panuzzo Italy 15 401 1.2× 316 1.9× 122 0.8× 34 0.6× 171 3.4× 49 644
Margit Stimpfl Austria 11 193 0.6× 90 0.5× 105 0.7× 20 0.3× 29 0.6× 16 372

Countries citing papers authored by Malathi Kandarpa

Since Specialization
Citations

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

Fields of papers citing papers by Malathi Kandarpa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malathi Kandarpa

This figure shows the co-authorship network connecting the top 25 collaborators of Malathi Kandarpa. A scholar is included among the top collaborators of Malathi Kandarpa 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 Malathi Kandarpa. Malathi Kandarpa 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.
Lee, Winston, Kristen Pettit, Dariya Malyarenko, et al.. (2025). Quantitative MRI Assessment of Bone Marrow Disease in Myelofibrosis: A Prospective Study. Radiology Imaging Cancer. 7(6). e240501–e240501.
2.
Avelar, Rita A., Carlos Murga‐Zamalloa, Malathi Kandarpa, et al.. (2025). Understanding the Functional Dependence and Inhibition of the Bcl-2 Pro-Survival Proteins in a Wide Spectrum of Cancers toward Precision Medicine. ACS Pharmacology & Translational Science. 8(9). 2922–2935. 1 indexed citations
3.
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Dumke, Henry, Tycel Phillips, Mark Kaminski, et al.. (2024). Outcomes and prognostic factors of patients diagnosed with relapsed/refractory primary B-cell lymphoma: A retrospective study.. Journal of Clinical Oncology. 42(16_suppl). 7081–7081.
5.
6.
Kandarpa, Malathi, Dan R. Robinson, Yi‐Mi Wu, et al.. (2024). Broad Next-Generation Integrated Sequencing of Myelofibrosis Identifies Disease-Specific and Age-Related Genomic Alterations. Clinical Cancer Research. 30(9). 1972–1983. 4 indexed citations
7.
Pettit, Kristen, et al.. (2023). Exploring the Molecular Landscape of Myelofibrosis, with a Focus on Ras and Mitogen-Activated Protein (MAP) Kinase Signaling. Cancers. 15(18). 4654–4654. 3 indexed citations
8.
Phillips, Tycel, David A. Bond, Malathi Kandarpa, et al.. (2023). Adding venetoclax to lenalidomide and rituximab is safe and effective in patients with untreated mantle cell lymphoma. Blood Advances. 7(16). 4518–4527. 7 indexed citations
9.
Jin, Xi, Victor Ng, Lu Liu, et al.. (2022). Epigenetic downregulation of Socs2 contributes to mutant N-Ras-mediated hematopoietic dysregulation. Disease Models & Mechanisms. 15(5). 5 indexed citations
10.
Geng, Jie, Malathi Kandarpa, Sanjeeva J. Wijeyesakere, et al.. (2021). Mechanism of mutant calreticulin-mediated activation of the thrombopoietin receptor in cancers. The Journal of Cell Biology. 220(7). 8 indexed citations
11.
Shaya, Justin, et al.. (2021). Late Responses in Patients With Chronic Myeloid Leukemia Initially Refractory to Tyrosine Kinase Inhibitors. Clinical Lymphoma Myeloma & Leukemia. 22(1). 17–23. 11 indexed citations
12.
Potu, Harish, Malathi Kandarpa, Luke F. Peterson, et al.. (2021). Downregulation of SOX2 by inhibition of Usp9X induces apoptosis in melanoma. Oncotarget. 12(3). 160–172. 11 indexed citations
13.
Potu, Harish, Malathi Kandarpa, Luke F. Peterson, Nicholas J. Donato, & Moshe Talpaz. (2019). Tumor necrosis factor related apoptosis inducing ligand (TRAIL) regulates deubiquitinase USP5 in tumor cells. Oncotarget. 10(56). 5745–5754. 9 indexed citations
14.
Garmezy, Benjamin, Philip S. Boonstra, Malathi Kandarpa, & Moshe Talpaz. (2017). The Relationship between Cause of Death in Myelofibrosis and the Dynamic International Prognostic Scoring System. Blood. 130. 2929–2929. 1 indexed citations
15.
Garmezy, Benjamin, et al.. (2017). Characterization of Mortality in Myelofibrosis. Clinical Lymphoma Myeloma & Leukemia. 17. S353–S353. 1 indexed citations
16.
Rosebeck, Shaun, Malathi Kandarpa, Anoop Mayampurath, et al.. (2015). Synergistic Myeloma Cell Death via Novel Intracellular Activation of Caspase-10–Dependent Apoptosis by Carfilzomib and Selinexor. Molecular Cancer Therapeutics. 15(1). 60–71. 40 indexed citations
17.
Peterson, Luke F., Hanshi Sun, Yi‐Hong Liu, et al.. (2015). Targeting deubiquitinase activity with a novel small-molecule inhibitor as therapy for B-cell malignancies. Blood. 125(23). 3588–3597. 101 indexed citations
18.
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Lebovic, Daniel, Mark Kaminski, Tara Anderson, et al.. (2012). A Phase II Study of Consolidation Treatment with Iodione-131 Tositumomab (Bexxar™) in Multiple Myeloma (MM). Blood. 120(21). 1854–1854. 7 indexed citations
20.

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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