Arun Sreekumar

12.6k total citations · 2 hit papers
117 papers, 5.4k citations indexed

About

Arun Sreekumar is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Arun Sreekumar has authored 117 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 28 papers in Cancer Research and 21 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Arun Sreekumar's work include Cancer, Hypoxia, and Metabolism (18 papers), Prostate Cancer Treatment and Research (18 papers) and Metabolomics and Mass Spectrometry Studies (13 papers). Arun Sreekumar is often cited by papers focused on Cancer, Hypoxia, and Metabolism (18 papers), Prostate Cancer Treatment and Research (18 papers) and Metabolomics and Mass Spectrometry Studies (13 papers). Arun Sreekumar collaborates with scholars based in United States, India and Germany. Arun Sreekumar's co-authors include Arul M. Chinnaiyan, Nagireddy Putluri, Sooryanarayana Varambally, Debashis Ghosh, Alexey I. Nesvizhskii, Cristian Coarfa, Vasanta Putluri, Mark A. Rubin, Theodore S. Lawrence and Mukesh K. Nyati and has published in prestigious journals such as Nature, New England Journal of Medicine and Cell.

In The Last Decade

Arun Sreekumar

109 papers receiving 5.3k citations

Hit Papers

Mutual regulation of tumour vessel normalization and immu... 2016 2026 2019 2022 2017 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arun Sreekumar United States 38 3.0k 1.1k 1.0k 821 820 117 5.4k
Takashi Tsukamoto United States 39 3.4k 1.1× 2.3k 2.1× 808 0.8× 548 0.7× 336 0.4× 123 6.1k
Lijun Chen China 40 2.5k 0.8× 546 0.5× 618 0.6× 574 0.7× 683 0.8× 227 5.3k
Paul J. Williams United States 38 1.9k 0.6× 494 0.4× 2.4k 2.4× 630 0.8× 335 0.4× 121 5.8k
Michael J. O’Hare United Kingdom 42 3.4k 1.1× 860 0.8× 1.8k 1.8× 550 0.7× 524 0.6× 102 6.2k
Mark Basik Canada 41 3.5k 1.2× 2.9k 2.6× 2.8k 2.8× 1.0k 1.2× 774 0.9× 142 7.2k
Lisa G. Horvath Australia 46 2.4k 0.8× 1.6k 1.5× 2.2k 2.2× 2.5k 3.1× 449 0.5× 198 6.0k
Minjung Kim South Korea 39 3.3k 1.1× 757 0.7× 942 0.9× 893 1.1× 385 0.5× 135 5.8k
Anna Dubrovska Germany 37 2.8k 0.9× 1.4k 1.3× 2.4k 2.3× 839 1.0× 568 0.7× 94 5.0k
Natasha Kyprianou United States 49 3.9k 1.3× 1.7k 1.5× 2.0k 2.0× 2.7k 3.3× 553 0.7× 135 7.5k
Annette T. Byrne Ireland 28 1.6k 0.5× 827 0.7× 1.2k 1.2× 1.3k 1.5× 448 0.5× 71 4.8k

Countries citing papers authored by Arun Sreekumar

Since Specialization
Citations

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

Fields of papers citing papers by Arun Sreekumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arun Sreekumar

This figure shows the co-authorship network connecting the top 25 collaborators of Arun Sreekumar. A scholar is included among the top collaborators of Arun Sreekumar 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 Arun Sreekumar. Arun Sreekumar 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.
Chouhan, Surbhi, Cody Weimholt, Jingqin Luo, et al.. (2023). Histone H2A Lys130 acetylation epigenetically regulates androgen production in prostate cancer. Nature Communications. 14(1). 3357–3357. 27 indexed citations
2.
Piyarathna, Danthasinghe Waduge Badrajee, James M. Arnold, Stacy M. Lloyd, et al.. (2019). ERR1- and PGC1α-associated mitochondrial alterations correlate with pan-cancer disparity in African Americans. Journal of Clinical Investigation. 129(6). 2351–2356. 24 indexed citations
3.
Ramirez‐Peña, Esmeralda, James M. Arnold, Robiya Joseph, et al.. (2019). The Epithelial to Mesenchymal Transition Promotes Glutamine Independence by Suppressing GLS2 Expression. Cancers. 11(10). 1610–1610. 36 indexed citations
4.
Otnes, Cele C., et al.. (2018). Ritual Scholarship in Marketing: Past, Present and Future. ACR North American Advances. 2 indexed citations
5.
Viswanathan, Madhubalan, et al.. (2017). Extreme Marketplace Exclusion in Subsistence Marketplaces: a Study in a Refugee Settlement in Nakivale, Uganda. ACR North American Advances. 2 indexed citations
6.
Tian, Lin, Amit Goldstein, Hai Wang, et al.. (2017). Mutual regulation of tumour vessel normalization and immunostimulatory reprogramming. Nature. 544(7649). 250–254. 596 indexed citations breakdown →
7.
Mishra, Prachi, Wei Tang, Vasanta Putluri, et al.. (2017). ADHFE1 is a breast cancer oncogene and induces metabolic reprogramming. Journal of Clinical Investigation. 128(1). 323–340. 65 indexed citations
8.
Lisewski, Andreas Martin, et al.. (2017). Potential role of Plasmodium falciparum exported protein 1 in the chloroquine mode of action. International Journal for Parasitology Drugs and Drug Resistance. 8(1). 31–35. 5 indexed citations
9.
Zhang, Li, Jianghua Wang, Yongquan Wang, et al.. (2016). MNX1 Is Oncogenically Upregulated in African-American Prostate Cancer. Cancer Research. 76(21). 6290–6298. 47 indexed citations
10.
Kettner, Nicole M., Milton J. Finegold, Cristian Coarfa, et al.. (2016). Circadian Homeostasis of Liver Metabolism Suppresses Hepatocarcinogenesis. Cancer Cell. 30(6). 909–924. 364 indexed citations breakdown →
11.
Arnold, James M., et al.. (2015). Analytical strategies for studying stem cell metabolism. Frontiers in Biology. 10(2). 141–153. 14 indexed citations
12.
Stashi, Erin, Rainer B. Lanz, Jianqiang Mao, et al.. (2014). SRC-2 Is an Essential Coactivator for Orchestrating Metabolism and Circadian Rhythm. Cell Reports. 6(4). 633–645. 64 indexed citations
13.
Kommagani, Ramakrishna, Maria M. Szwarc, Ertuğ Kovanci, et al.. (2013). Acceleration of the Glycolytic Flux by Steroid Receptor Coactivator-2 Is Essential for Endometrial Decidualization. PLoS Genetics. 9(10). e1003900–e1003900. 73 indexed citations
14.
Putluri, Nagireddy, Ali Shojaie, Vihas T. Vasu, et al.. (2011). Metabolomic Profiling Reveals a Role for Androgen in Activating Amino Acid Metabolism and Methylation in Prostate Cancer Cells. PLoS ONE. 6(7). e21417–e21417. 62 indexed citations
15.
Varambally, Sooryanarayana, Bharathi Laxman, Rohit Mehra, et al.. (2008). Golgi Protein GOLM1 Is a Tissue and Urine Biomarker of Prostate Cancer. Neoplasia. 10(11). 1285–IN35. 93 indexed citations
17.
Nyati, Mukesh K., Sheela Hanasoge, Arun Sreekumar, et al.. (2004). Radiosensitization by Pan ErbB Inhibitor CI-1033 in Vitro and in Vivo . Clinical Cancer Research. 10(2). 691–700. 67 indexed citations
18.
Knight, Paul R., Arun Sreekumar, Javed Siddiqui, et al.. (2003). Development of a Sensitive Microarray Immunoassay and Comparison With Standard Enzyme-Linked Immunoassay for Cytokine Analysis. Shock. 21(1). 26–30. 69 indexed citations
19.
Sreekumar, Arun & Arul M. Chinnaiyan. (2002). Protein microarrays: a powerful tool to study cancer.. PubMed. 4(6). 587–93. 8 indexed citations
20.
Kumar‐Sinha, Chandan, Sooryanarayana Varambally, Arun Sreekumar, & Arul M. Chinnaiyan. (2002). Molecular Cross-talk between the TRAIL and Interferon Signaling Pathways. Journal of Biological Chemistry. 277(1). 575–585. 86 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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