Mala Shanmugam

6.0k total citations
42 papers, 1.4k citations indexed

About

Mala Shanmugam is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Mala Shanmugam has authored 42 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 14 papers in Oncology and 14 papers in Cancer Research. Recurrent topics in Mala Shanmugam's work include Cancer, Hypoxia, and Metabolism (13 papers), Multiple Myeloma Research and Treatments (11 papers) and Metabolism, Diabetes, and Cancer (7 papers). Mala Shanmugam is often cited by papers focused on Cancer, Hypoxia, and Metabolism (13 papers), Multiple Myeloma Research and Treatments (11 papers) and Metabolism, Diabetes, and Cancer (7 papers). Mala Shanmugam collaborates with scholars based in United States, Canada and France. Mala Shanmugam's co-authors include Steven T. Rosen, Kehinde Adekola, Aditi Sharma, Samuel K. McBrayer, Lawrence Boise, Seema Singhal, Nancy Krett, Changyong Wei, Richa Bajpai and Ajay K. Nooka and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Blood.

In The Last Decade

Mala Shanmugam

39 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mala Shanmugam United States 18 971 511 389 194 163 42 1.4k
Luca Pasquini Italy 22 1.1k 1.1× 577 1.1× 359 0.9× 169 0.9× 328 2.0× 40 1.6k
Mark A. Keibler United States 9 1.0k 1.1× 811 1.6× 281 0.7× 136 0.7× 76 0.5× 14 1.6k
Yongdong Feng China 26 972 1.0× 397 0.8× 641 1.6× 139 0.7× 326 2.0× 64 1.7k
Hans-Guido Wendel United States 14 2.1k 2.1× 380 0.7× 542 1.4× 193 1.0× 294 1.8× 20 2.5k
Ilaria Laurenzana Italy 22 962 1.0× 523 1.0× 180 0.5× 267 1.4× 170 1.0× 55 1.4k
E. Ahn United States 22 869 0.9× 262 0.5× 210 0.5× 193 1.0× 168 1.0× 55 1.4k
Noel A. Warfel United States 21 1.0k 1.1× 375 0.7× 557 1.4× 79 0.4× 113 0.7× 39 1.7k
Pierosandro Tagliaferri Italy 21 970 1.0× 553 1.1× 311 0.8× 171 0.9× 134 0.8× 33 1.4k
Weili Ma Taiwan 16 1.3k 1.4× 348 0.7× 986 2.5× 109 0.6× 186 1.1× 59 2.0k

Countries citing papers authored by Mala Shanmugam

Since Specialization
Citations

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

Fields of papers citing papers by Mala Shanmugam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mala Shanmugam

This figure shows the co-authorship network connecting the top 25 collaborators of Mala Shanmugam. A scholar is included among the top collaborators of Mala Shanmugam 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 Mala Shanmugam. Mala Shanmugam 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.
Marcus, Laura, et al.. (2025). Metabolic programming defines oxygen-sensitive subpopulation hierarchies and patterning in collective invasion. Molecular Biology of the Cell. 36(11). ar137–ar137.
2.
Shanmugam, Mala, et al.. (2024). Abstract 4297: Interrogating metabolic heterogeneity and cooperation in lung cancer collective cell invasion. Cancer Research. 84(6_Supplement). 4297–4297. 1 indexed citations
3.
Mumme, Hope, et al.. (2024). ARMH1 is a novel marker associated with poor pediatric AML outcomes that affect the fatty acid synthesis and cell cycle pathways. Frontiers in Oncology. 14. 1445173–1445173. 1 indexed citations
4.
Sharma, Richa, Janna K. Mouw, Junghui Koo, et al.. (2024). Intra-tumoral YAP and TAZ heterogeneity drives collective NSCLC invasion that is targeted by SUMOylation inhibitor TAK-981. iScience. 27(11). 111133–111133. 2 indexed citations
5.
Nair, Remya, Ronald A. Merrill, Catherine St‐Louis, et al.. (2023). The mitochondrial pyruvate carrier complex potentiates the efficacy of proteasome inhibitors in multiple myeloma. Blood Advances. 7(14). 3485–3500. 9 indexed citations
6.
Sharma, Aditi, Vikas A. Gupta, Shanmuganathan Chandrakasan, et al.. (2022). PI3Kδ/γ inhibition promotes human CART cell epigenetic and metabolic reprogramming to enhance antitumor cytotoxicity. Blood. 139(4). 523–537. 91 indexed citations
7.
Nair, Remya, Abhinav Achreja, Anjali Mittal, et al.. (2022). Therapeutic implications of mitochondrial stress–induced proteasome inhibitor resistance in multiple myeloma. Science Advances. 8(39). eabq5575–eabq5575. 12 indexed citations
8.
Nair, Remya, Benjamin G. Barwick, Vikas A. Gupta, et al.. (2022). β adrenergic signaling regulates hematopoietic stem and progenitor cell commitment and therapy sensitivity in multiple myeloma. Haematologica. 107(9). 2226–2231. 1 indexed citations
9.
Chandrasekaran, Sanjay, et al.. (2021). Strategies to Overcome Failures in T-Cell Immunotherapies by Targeting PI3K-δ and –γ. Frontiers in Immunology. 12. 718621–718621. 26 indexed citations
10.
Wei, Changyong, Aditi Sharma, Janna K. Mouw, et al.. (2020). Subpopulation targeting of pyruvate dehydrogenase and GLUT1 decouples metabolic heterogeneity during collective cancer cell invasion. Nature Communications. 11(1). 1533–1533. 82 indexed citations
11.
Bajpai, Richa, Aditi Sharma, Abhinav Achreja, et al.. (2020). Electron transport chain activity is a predictor and target for venetoclax sensitivity in multiple myeloma. Nature Communications. 11(1). 1228–1228. 76 indexed citations
12.
Gu, Yanyan, Benjamin G. Barwick, Mala Shanmugam, et al.. (2020). Downregulation of PA28α induces proteasome remodeling and results in resistance to proteasome inhibitors in multiple myeloma. Blood Cancer Journal. 10(12). 125–125. 9 indexed citations
13.
Sharma, Aditi, Lawrence Boise, & Mala Shanmugam. (2019). Cancer Metabolism and the Evasion of Apoptotic Cell Death. Cancers. 11(8). 1144–1144. 117 indexed citations
14.
Wei, Changyong, Monique R. Heitmeier, Paul W. Hruz, & Mala Shanmugam. (2017). Evaluating the Efficacy of GLUT Inhibitors Using a Seahorse Extracellular Flux Analyzer. Methods in molecular biology. 1713. 69–75. 7 indexed citations
15.
Bajpai, Richa, Kehinde Adekola, Irawati Kandela, et al.. (2014). Targeting the Metabolic Plasticity of Multiple Myeloma with FDA-Approved Ritonavir and Metformin. Clinical Cancer Research. 21(5). 1161–1171. 123 indexed citations
16.
17.
McBrayer, Samuel K., Cristian Coarfa, Preethi H. Gunaratne, et al.. (2013). Expression and phosphorylation of the AS160_v2 splice variant supports GLUT4 activation and the Warburg effect in multiple myeloma. Cancer & Metabolism. 1(1). 14–14. 19 indexed citations
18.
McBrayer, Samuel K., et al.. (2012). Multiple myeloma exhibits novel dependence on GLUT4, GLUT8, and GLUT11: implications for glucose transporter-directed therapy. Blood. 119(20). 4686–4697. 150 indexed citations
19.
Shanmugam, Mala, Samuel K. McBrayer, & Steven T. Rosen. (2009). Targeting the Warburg effect in hematological malignancies: from PET to therapy. Current Opinion in Oncology. 21(6). 531–536. 35 indexed citations
20.
Shanmugam, Mala, Samuel K. McBrayer, Jun Qian, et al.. (2009). Targeting Glucose Consumption and Autophagy in Myeloma with the Novel Nucleoside Analogue 8-Aminoadenosine. Journal of Biological Chemistry. 284(39). 26816–26830. 37 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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