Ankur Chakravarthy

7.9k total citations · 4 hit papers
29 papers, 3.5k citations indexed

About

Ankur Chakravarthy is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ankur Chakravarthy has authored 29 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Cancer Research and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ankur Chakravarthy's work include Epigenetics and DNA Methylation (7 papers), Cancer Genomics and Diagnostics (7 papers) and Ferroptosis and cancer prognosis (5 papers). Ankur Chakravarthy is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), Cancer Genomics and Diagnostics (7 papers) and Ferroptosis and cancer prognosis (5 papers). Ankur Chakravarthy collaborates with scholars based in Canada, United States and United Kingdom. Ankur Chakravarthy's co-authors include Daniel D. De Carvalho, Andrew Feber, Stephan Beck, Pinaki Bose, Andrew E. Teschendorff, Lee M Butcher, Hitoshi Ohtani, Peter A. Jones, Tomasz K. Wojdacz and Tiffany Morris and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Ankur Chakravarthy

26 papers receiving 3.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ChAMP: 450k Chip Analysis Methylation Pipeline

2013 629 citations Lee M Butcher, Andrew Feber et al. profile →
TGF-β-associated extracellular matrix genes link cancer-associated fibroblasts to immune evasion and immunotherapy failure

2018 474 citations Ankur Chakravarthy, Pinaki Bose et al. Nature Communications profile →
LSD1 Ablation Stimulates Anti-tumor Immunity and Enables Checkpoint Blockade

2018 462 citations Wanqiang Sheng, Martin W. LaFleur et al. Cell profile →
Epigenetic therapy in immune-oncology

2019 368 citations Ankur Chakravarthy, Daniel D. De Carvalho et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ankur Chakravarthy Canada	18	2.2k	1.1k	905	827	435	29	3.5k
Claudia Lengerke Germany	33	2.6k 1.2×	959 0.9×	743 0.8×	604 0.7×	425 1.0×	131	4.6k
Cristiana Lo Nigro Italy	27	1.2k 0.6×	697 0.7×	288 0.3×	560 0.7×	430 1.0×	82	2.6k
Patrick A. Zweidler‐McKay United States	35	1.8k 0.8×	1.1k 1.0×	632 0.7×	690 0.8×	221 0.5×	128	3.7k
Léon C.L.T. van Kempen Netherlands	39	1.7k 0.8×	1.6k 1.5×	661 0.7×	967 1.2×	631 1.5×	132	4.2k
William J. LaRochelle United States	43	2.8k 1.3×	951 0.9×	550 0.6×	522 0.6×	360 0.8×	81	4.9k
Ichiro Ota Japan	33	3.3k 1.5×	1.5k 1.4×	298 0.3×	1.5k 1.8×	378 0.9×	115	5.8k
Catherine I. Dumur United States	34	1.7k 0.8×	1.0k 1.0×	446 0.5×	693 0.8×	463 1.1×	94	3.4k
María Angélica Cortez United States	32	2.6k 1.2×	1.7k 1.6×	1.0k 1.1×	2.3k 2.7×	765 1.8×	92	4.9k
Kazuaki Chikamatsu Japan	29	865 0.4×	1.7k 1.6×	1.1k 1.3×	500 0.6×	428 1.0×	152	3.0k
Laura Strauss United States	29	1.1k 0.5×	2.0k 1.9×	3.2k 3.5×	542 0.7×	303 0.7×	46	4.5k

Countries citing papers authored by Ankur Chakravarthy

Since Specialization

Citations

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

Fields of papers citing papers by Ankur Chakravarthy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankur Chakravarthy

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chakravarthy, Ankur, Elisa Pasini, Shu Yi Shen, et al.. (2025). Evolutionary dynamics of recurrent hepatocellular carcinoma under divergent immune selection pressures. Frontiers in Oncology. 15. 1537087–1537087.

Nassiri, Farshad, Vikas Patil, Yasin Mamatjan, et al.. (2024). Metabologenomic characterization uncovers a clinically aggressive IDH mutant glioma subtype. Acta Neuropathologica. 147(1). 68–68.

Medina, Tiago da Silva, Alex Murison, Michelle I. Smith, et al.. (2023). The chromatin and single-cell transcriptional landscapes of CD4 T cells in inflammatory bowel disease link risk loci with a proinflammatory Th17 cell population. Frontiers in Immunology. 14. 1161901–1161901. 7 indexed citations

Nassiri, Farshad, Justin Z. Wang, Yasin Mamatjan, et al.. (2023). METABOLOGENOMIC CHARACTERIZATION UNCOVERS HETEROGENEITY AMONG IDH MUTANT GLIOMAS. Neuro-Oncology Advances. 5(Supplement_2). i1–i1.

Castro, Fabíola Attié de, Parinaz Mehdipour, Ankur Chakravarthy, et al.. (2023). Ratio of stemness to interferon signalling as a biomarker and therapeutic target of myeloproliferative neoplasm progression to acute myeloid leukaemia. British Journal of Haematology. 204(1). 206–220. 2 indexed citations

Baratchian, Mehdi, Ritika Tiwari, Sirvan Khalighi, et al.. (2022). H3K9 methylation drives resistance to androgen receptor–antagonist therapy in prostate cancer. Proceedings of the National Academy of Sciences. 119(21). e2114324119–e2114324119. 35 indexed citations

Zuccato, Jeffrey, Vikas Patil, Sheila Mansouri, et al.. (2021). DNA methylation-based prognostic subtypes of chordoma tumors in tissue and plasma. Neuro-Oncology. 24(3). 442–454. 29 indexed citations

Mehdipour, Parinaz, Sajid A. Marhon, Ilias Ettayebi, et al.. (2020). Epigenetic therapy induces transcription of inverted SINEs and ADAR1 dependency. Nature. 588(7836). 169–173. 166 indexed citations

Nassiri, Farshad, Ankur Chakravarthy, Shengrui Feng, et al.. (2020). Detection and discrimination of intracranial tumors using plasma cell-free DNA methylomes. Nature Medicine. 26(7). 1044–1047. 171 indexed citations

10.

Nuzzo, Pier Vitale, Jacob E. Berchuck, Sándor Spisák, et al.. (2020). Sensitive detection of renal cell carcinoma using plasma and urine cell-free DNA methylomes.. Journal of Clinical Oncology. 38(6_suppl). 728–728. 3 indexed citations

11.

Sheng, Wanqiang, Martin W. LaFleur, Thao H. Nguyen, et al.. (2018). LSD1 Ablation Stimulates Anti-tumor Immunity and Enables Checkpoint Blockade. Cell. 174(3). 549–563.e19. 462 indexed citations breakdown →

12.

Chakravarthy, Ankur, Andrew J.S. Furness, Kroopa Joshi, et al.. (2018). Pan-cancer deconvolution of tumour composition using DNA methylation. Nature Communications. 9(1). 3220–3220. 195 indexed citations

13.

Chakravarthy, Ankur, et al.. (2018). TGF-β-associated extracellular matrix genes link cancer-associated fibroblasts to immune evasion and immunotherapy failure. Nature Communications. 9(1). 4692–4692. 474 indexed citations breakdown →

14.

Chakravarthy, Ankur, Vonn Walter, Liam Masterson, et al.. (2018). Frequent HPV-independent p16/INK4A overexpression in head and neck cancer. Oral Oncology. 83. 32–37. 45 indexed citations

15.

Hartwig, Torsten, Antonella Montinaro, Silvia von Karstedt, et al.. (2017). The TRAIL-Induced Cancer Secretome Promotes a Tumor-Supportive Immune Microenvironment via CCR2. Molecular Cell. 65(4). 730–742.e5. 180 indexed citations

16.

Feber, Andrew, Ankur Chakravarthy, Patricia de Winter, et al.. (2016). CSN1 Somatic Mutations in Penile Squamous Cell Carcinoma. Cancer Research. 76(16). 4720–4727. 45 indexed citations

17.

Henderson, Stephen, Ankur Chakravarthy, Xiaoping Su, Chris Boshoff, & Tim R. Fenton. (2014). APOBEC-Mediated Cytosine Deamination Links PIK3CA Helical Domain Mutations to Human Papillomavirus-Driven Tumor Development. Cell Reports. 7(6). 1833–1841. 260 indexed citations

18.

Henderson, Stephen, Ankur Chakravarthy, & Tim R. Fenton. (2014). When defense turns into attack. Molecular & Cellular Oncology. 1(1). e29914–e29914. 3 indexed citations

19.

Lechner, Matthias, Tim R. Fenton, James D. West, et al.. (2013). Identification and functional validation of HPV-mediated hypermethylation in head and neck squamous cell carcinoma. Genome Medicine. 5(2). 15–15. 105 indexed citations

20.

Choudhry, Shweta, Mitali Mukerji, Leena Bashyam, et al.. (2000). Molecular analysis of autosomal dominant hereditary ataxias in the Indian population: high frequency of SCA2 and evidence for a common founder mutation. Human Genetics. 106(2). 179–187. 100 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.

Explore authors with similar magnitude of impact