Aneesha Dasgupta

1.6k total citations
23 papers, 545 citations indexed

About

Aneesha Dasgupta is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Aneesha Dasgupta has authored 23 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Cancer Research and 8 papers in Physiology. Recurrent topics in Aneesha Dasgupta's work include Cancer, Hypoxia, and Metabolism (9 papers), Muscle Physiology and Disorders (7 papers) and Pancreatic and Hepatic Oncology Research (5 papers). Aneesha Dasgupta is often cited by papers focused on Cancer, Hypoxia, and Metabolism (9 papers), Muscle Physiology and Disorders (7 papers) and Pancreatic and Hepatic Oncology Research (5 papers). Aneesha Dasgupta collaborates with scholars based in United States, Canada and Switzerland. Aneesha Dasgupta's co-authors include Pankaj K. Singh, Surendra K. Shukla, Ryan J. King, Venugopal Gunda, Enza Vernucci, Fang Yu, Jaime Abrego, Gennifer D. Goode, Jason D. Doles and R. Schmitt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Neurology.

In The Last Decade

Aneesha Dasgupta

20 papers receiving 533 citations

Peers

Aneesha Dasgupta

ONCOL

PHYSI

EPIDE

Keren Bitton-Worms Israel

Jian‐Ching Wu Taiwan

Chiara Verdelli Italy

Kuang‐Tzu Huang Taiwan

Knut Ketterer Germany

Xuan Luo China

Johann Gout Germany

Chao Jie Zhen China

Fangzhu Wan China

James V. Michael United States

Keren Bitton-Worms Israel

Aneesha Dasgupta

410 ×1.2

149 ×0.8

163 ×1.1

ONCOL

70 ×0.5

PHYSI

82 ×1.3

EPIDE

Citations per year, relative to Aneesha Dasgupta Aneesha Dasgupta (= 1×) peers Keren Bitton-Worms

Countries citing papers authored by Aneesha Dasgupta

Since Specialization

Citations

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

Fields of papers citing papers by Aneesha Dasgupta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aneesha Dasgupta

This figure shows the co-authorship network connecting the top 25 collaborators of Aneesha Dasgupta. A scholar is included among the top collaborators of Aneesha Dasgupta 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 Aneesha Dasgupta. Aneesha Dasgupta 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

Dasgupta, Aneesha, et al.. (2025). Promising preclinical approaches to combating cancer-associated cachexia/tissue wasting. Current Opinion in Supportive and Palliative Care. 19(3). 175–179.

Dasgupta, Aneesha, R. Schmitt, Tatsuyoshi Kono, et al.. (2025). Histidine decarboxylase inhibition attenuates cancer-associated muscle wasting. The Journal of Experimental Medicine. 222(9).

Dasgupta, Aneesha, Grayson Beecher, Numrah Fadra, et al.. (2025). Unraveling calcium dysregulation and autoimmunity in immune mediated rippling muscle disease. Acta Neuropathologica Communications. 13(1). 11–11.

Dasgupta, Aneesha, Divyanshu Dubey, Teerin Liewluck, et al.. (2024). Identification of Calcium Dysregulation in Immune-mediated Rippling Muscle Disease (P8-11.001). Neurology. 102(7_supplement_1). 1 indexed citations

Schmitt, R., et al.. (2023). Muscle stem cells contribute to long‐term tissue repletion following surgical sepsis. Journal of Cachexia Sarcopenia and Muscle. 14(3). 1424–1440. 14 indexed citations

Dasgupta, Aneesha, R. Schmitt, Elizabeth S. Bruinsma, et al.. (2023). A TGF-β/KLF10 signaling axis regulates atrophy-associated genes to induce muscle wasting in pancreatic cancer. Proceedings of the National Academy of Sciences. 120(34). 15 indexed citations

Neyroud, Daria, Orlando Laitano, Aneesha Dasgupta, et al.. (2023). Blocking muscle wasting via deletion of the muscle-specific E3 ligase MuRF1 impedes pancreatic tumor growth. Communications Biology. 6(1). 519–519. 20 indexed citations

Nicolau, Stefan, Aneesha Dasgupta, Surendra Dasari, et al.. (2023). Molecular signatures of inherited and acquired sporadic late onset nemaline myopathies. Acta Neuropathologica Communications. 11(1). 20–20. 7 indexed citations

Cho, Dong Seong, et al.. (2022). ACUTE AND SUSTAINED ALTERATIONS TO THE BONE MARROW IMMUNE MICROENVIRONMENT FOLLOWING POLYMICROBIAL INFECTION. Shock. 58(1). 45–55. 7 indexed citations

10.

Bhattacharya, Deep, et al.. (2022). Non-Viral Vectors for Delivery of Nucleic Acid Therapies for Cancer. BioTech. 11(1). 6–6. 30 indexed citations

11.

Dasgupta, Aneesha, R. Schmitt, Dong Seong Cho, et al.. (2021). Anticachectic regulator analysis reveals Perp-dependent antitumorigenic properties of 3-methyladenine in pancreatic cancer. JCI Insight. 7(2). 14 indexed citations

12.

Mulder, Scott E., Aneesha Dasgupta, Ryan J. King, et al.. (2020). JNK signaling contributes to skeletal muscle wasting and protein turnover in pancreatic cancer cachexia. Cancer Letters. 491. 70–77. 37 indexed citations

13.

Shukla, Surendra K., Kuldeep S. Attri, Enza Vernucci, et al.. (2020). Macrophages potentiate STAT3 signaling in skeletal muscles and regulate pancreatic cancer cachexia. Cancer Letters. 484. 29–39. 50 indexed citations

14.

Cho, Dong Seong, et al.. (2020). Single‐cell deconstruction of post‐sepsis skeletal muscle and adipose tissue microenvironments. Journal of Cachexia Sarcopenia and Muscle. 11(5). 1351–1363. 35 indexed citations

15.

Humphrey, Lisa E., Lynette M. Smith, Surendra K. Shukla, et al.. (2019). Selective Inhibition of Histone Deacetylases 1/2/6 in Combination with Gemcitabine: A Promising Combination for Pancreatic Cancer Therapy. Cancers. 11(9). 1327–1327. 27 indexed citations

16.

Dasgupta, Aneesha, Surendra K. Shukla, Venugopal Gunda, Ryan J. King, & Pankaj K. Singh. (2018). Evaluating the Metabolic Alterations in Pancreatic Cancer. Methods in molecular biology. 1882. 221–228. 4 indexed citations

17.

Gunda, Venugopal, Sushil Kumar, Aneesha Dasgupta, & Pankaj K. Singh. (2018). Hypoxia-Induced Metabolomic Alterations in Pancreatic Cancer Cells. Methods in molecular biology. 1742. 95–105. 13 indexed citations

18.

Gunda, Venugopal, Joshua J. Souchek, Jaime Abrego, et al.. (2017). MUC1-Mediated Metabolic Alterations Regulate Response to Radiotherapy in Pancreatic Cancer. Clinical Cancer Research. 23(19). 5881–5891. 74 indexed citations

19.

Abrego, Jaime, Venugopal Gunda, Enza Vernucci, et al.. (2017). GOT1-mediated anaplerotic glutamine metabolism regulates chronic acidosis stress in pancreatic cancer cells. Cancer Letters. 400. 37–46. 76 indexed citations

20.

Dasgupta, Aneesha, Surendra K. Shukla, Venugopal Gunda, Nina V. Chaika, & Pankaj K. Singh. (2017). Abstract LB-267: Metabolic alterations in tumors cause cachexia in pancreatic cancer. Cancer Research. 77(13_Supplement). LB–267. 1 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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