Ashok Narasimhan

751 total citations
18 papers, 499 citations indexed

About

Ashok Narasimhan is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Ashok Narasimhan has authored 18 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Physiology and 7 papers in Cancer Research. Recurrent topics in Ashok Narasimhan's work include Nutrition and Health in Aging (8 papers), Muscle Physiology and Disorders (5 papers) and GDF15 and Related Biomarkers (4 papers). Ashok Narasimhan is often cited by papers focused on Nutrition and Health in Aging (8 papers), Muscle Physiology and Disorders (5 papers) and GDF15 and Related Biomarkers (4 papers). Ashok Narasimhan collaborates with scholars based in United States, Canada and Switzerland. Ashok Narasimhan's co-authors include Teresa A. Zimmers, Sambasivarao Damaraju, Andrea Bonetto, Leonidas G. Koniaris, Sunita Ghosh, Yunlong Liu, Oliver F. Bathe, Russell Greiner, Vickie E. Baracos and Thomas M. O’Connell and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Ashok Narasimhan

17 papers receiving 493 citations

Peers

Ashok Narasimhan

PHYSI

RHEUM

ONCOL

Ernie D. Au United States

Serra Ucer United States

Thomas R. Flint United Kingdom

Angel Soto‐Hermida Spain

Carla Micucci Italy

Julie L. Frey United States

Richard Nicoletti United States

John Grünberg Sweden

Diping Wang United States

Leilani E. Beltran United Kingdom

Ernie D. Au United States

Ashok Narasimhan

200 ×0.6

166 ×0.7

PHYSI

28 ×0.2

72 ×0.8

RHEUM

53 ×0.6

ONCOL

Citations per year, relative to Ashok Narasimhan Ashok Narasimhan (= 1×) peers Ernie D. Au

Countries citing papers authored by Ashok Narasimhan

Since Specialization

Citations

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

Fields of papers citing papers by Ashok Narasimhan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashok Narasimhan

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

All Works

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18 of 18 papers shown

Narasimhan, Ashok, et al.. (2025). The Role of Ferroptosis and Cuproptosis in Tuberculosis Pathogenesis: Implications for Therapeutic Strategies. Current Issues in Molecular Biology. 47(2). 99–99. 3 indexed citations

Narasimhan, Ashok, et al.. (2024). Oxidative Stress, Glutathione Insufficiency, and Inflammatory Pathways in Type 2 Diabetes Mellitus: Implications for Therapeutic Interventions. Biomedicines. 13(1). 18–18. 14 indexed citations

Narasimhan, Ashok, Ioannis Gioulbasanis, Richard J.E. Skipworth, et al.. (2024). A genome wide association study to identify germline copy number variants associated with cancer cachexia: a preliminary analysis. SHILAP Revista de lepidopterología. 7(1). 55–65.

Wang, Meijing, Ashok Narasimhan, Joseph E. Rupert, et al.. (2022). Exogenous Oncostatin M induces Cardiac Dysfunction, Musculoskeletal Atrophy, and Fibrosis. Cytokine. 159. 155972–155972. 12 indexed citations

Zhong, Xiaoling, Ashok Narasimhan, Andrew Young, et al.. (2022). Sex specificity of pancreatic cancer cachexia phenotypes, mechanisms, and treatment in mice and humans: role of Activin. Journal of Cachexia Sarcopenia and Muscle. 13(4). 2146–2161. 50 indexed citations

Narasimhan, Ashok, Xiaoling Zhong, Eugene P. Ceppa, et al.. (2021). Profiling of Adipose and Skeletal Muscle in Human Pancreatic Cancer Cachexia Reveals Distinct Gene Profiles with Convergent Pathways. Cancers. 13(8). 1975–1975. 18 indexed citations

Rupert, Joseph E., Ashok Narasimhan, Yanlin Jiang, et al.. (2021). Tumor-derived IL-6 and trans-signaling among tumor, fat, and muscle mediate pancreatic cancer cachexia. The Journal of Experimental Medicine. 218(6). 127 indexed citations

Zhong, Xiaoling, Ashok Narasimhan, Andrew Young, et al.. (2021). Abstract 2657: Sex differences in pancreatic cancer cachexia manifestations and mechanisms in mice and humans: Role of activin. Cancer Research. 81(13_Supplement). 2657–2657. 1 indexed citations

Pin, Fabrizio, Alexander J. Jones, Joshua R. Huot, et al.. (2020). RANKL Blockade Reduces Cachexia and Bone Loss Induced by Non-Metastatic Ovarian Cancer in Mice. Journal of Bone and Mineral Research. 37(3). 381–396. 21 indexed citations

10.

Huot, Joshua R., Leah J. Novinger, Fabrizio Pin, et al.. (2020). Formation of colorectal liver metastases induces musculoskeletal and metabolic abnormalities consistent with exacerbated cachexia. JCI Insight. 5(9). 23 indexed citations

11.

Huot, Joshua R., Fabrizio Pin, Ashok Narasimhan, et al.. (2020). ACVR2B antagonism as a countermeasure to multi‐organ perturbations in metastatic colorectal cancer cachexia. Journal of Cachexia Sarcopenia and Muscle. 11(6). 1779–1798. 30 indexed citations

12.

Narasimhan, Ashok, et al.. (2020). Blood Lactate And Lactate Clearance: Refined Biomarker And Prognostic Marker In Burn Resuscitation.. PubMed. 33(4). 293–298. 7 indexed citations

13.

Narasimhan, Ashok, Safi Shahda, Joshua K. Kays, et al.. (2020). Identification of Potential Serum Protein Biomarkers and Pathways for Pancreatic Cancer Cachexia Using an Aptamer-Based Discovery Platform. Cancers. 12(12). 3787–3787. 29 indexed citations

14.

Narasimhan, Ashok, Russell Greiner, Oliver F. Bathe, Vickie E. Baracos, & Sambasivarao Damaraju. (2017). Differentially expressed alternatively spliced genes in skeletal muscle from cancer patients with cachexia. Journal of Cachexia Sarcopenia and Muscle. 9(1). 60–70. 21 indexed citations

15.

Narasimhan, Ashok, Sunita Ghosh, Cynthia Stretch, et al.. (2017). Small RNAome profiling from human skeletal muscle: novel miRNAs and their targets associated with cancer cachexia. Journal of Cachexia Sarcopenia and Muscle. 8(3). 405–416. 69 indexed citations

16.

Sapkota, Yadav, et al.. (2016). A Genome-Wide Association Study to Identify Potential Germline Copy Number Variants for Sporadic Breast Cancer Susceptibility. Cytogenetic and Genome Research. 149(3). 156–164. 7 indexed citations

17.

Krishnan, Preethi, Sunita Ghosh, Bo Wang, et al.. (2015). Next generation sequencing profiling identifies miR-574-3p and miR-660-5p as potential novel prognostic markers for breast cancer. BMC Genomics. 16(1). 735–735. 66 indexed citations

18.

Mackey, John R., Oleg Lipatov, Miguel Martín, et al.. (2015). Genetics of ramucirumab-associated hypertension in the ROSE/TRIO-012 breast cancer trial.. Journal of Clinical Oncology. 33(15_suppl). 547–547. 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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