Chakrapani Tripathi

460 total citations
16 papers, 366 citations indexed

About

Chakrapani Tripathi is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Chakrapani Tripathi has authored 16 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Immunology. Recurrent topics in Chakrapani Tripathi's work include Immune cells in cancer (4 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and Peptidase Inhibition and Analysis (3 papers). Chakrapani Tripathi is often cited by papers focused on Immune cells in cancer (4 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and Peptidase Inhibition and Analysis (3 papers). Chakrapani Tripathi collaborates with scholars based in India, United States and Japan. Chakrapani Tripathi's co-authors include Smrati Bhadauria, Ranjana Kanchan, Khemraj Singh Baghel, Brij Nath Tewari, Richa Shrivastava, Sharad Sharma, Ashutosh Tiwari, Rajeev Mishra, Anuradha Dube and Kavita Singh and has published in prestigious journals such as PLoS ONE, Oncogene and Free Radical Biology and Medicine.

In The Last Decade

Chakrapani Tripathi

16 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chakrapani Tripathi India	10	168	155	111	89	32	16	366
Davide G. Franchina Denmark	4	172 1.0×	156 1.0×	87 0.8×	61 0.7×	26 0.8×	4	360
Lucas Fass United States	3	100 0.6×	208 1.3×	126 1.1×	95 1.1×	26 0.8×	9	446
Ambra Natalini Italy	7	187 1.1×	106 0.7×	163 1.5×	66 0.7×	37 1.2×	14	393
Ritu Arora United States	8	109 0.6×	152 1.0×	150 1.4×	90 1.0×	20 0.6×	15	351
Paul M. Nguyen Australia	13	234 1.4×	220 1.4×	172 1.5×	73 0.8×	40 1.3×	15	511
Adele Preaudet Australia	10	169 1.0×	215 1.4×	157 1.4×	70 0.8×	26 0.8×	16	431
Daqian Zhan China	9	67 0.4×	159 1.0×	56 0.5×	78 0.9×	60 1.9×	12	375
André Jefremow Germany	7	87 0.5×	117 0.8×	122 1.1×	60 0.7×	31 1.0×	12	329
Melanie A. Girondo United States	9	193 1.1×	200 1.3×	272 2.5×	74 0.8×	23 0.7×	11	496
Diana C. Contreras United States	8	289 1.7×	179 1.2×	110 1.0×	60 0.7×	29 0.9×	11	500

Countries citing papers authored by Chakrapani Tripathi

Since Specialization

Citations

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

Fields of papers citing papers by Chakrapani Tripathi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chakrapani Tripathi

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

All Works

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16 of 16 papers shown

Zhang, Shilan, Chakrapani Tripathi, Wan Mohaiza Dashwood, et al.. (2023). Targeting ACE2-BRD4 crosstalk in colorectal cancer and the deregulation of DNA repair and apoptosis. npj Precision Oncology. 7(1). 20–20. 2 indexed citations

Li, Jia, Chakrapani Tripathi, Rani Menon, et al.. (2022). Metabolomics of Acute vs. Chronic Spinach Intake in an Apc–Mutant Genetic Background: Linoleate and Butanoate Metabolites Targeting HDAC Activity and IFN–γ Signaling. Cells. 11(3). 573–573. 4 indexed citations

Damiani, Elisabetta, Shan Wang, Chakrapani Tripathi, et al.. (2022). BRD9 Inhibition by Natural Polyphenols Targets DNA Damage/Repair and Apoptosis in Human Colon Cancer Cells. Nutrients. 14(20). 4317–4317. 6 indexed citations

Marriwala, Nikhil, et al.. (2021). Soft Computing for Intelligent Systems. Algorithms for intelligent systems. 6 indexed citations

Mahajan, Nitin, Melissa L. Bates, Chakrapani Tripathi, et al.. (2019). The snoRNA target of t(4;14) in multiple myeloma regulates ribosome biogenesis. FASEB BioAdvances. 1(7). 404–414. 18 indexed citations

Galambos, Csaba, Siegfried Janz, Monica Shokeen, et al.. (2019). Chronic intermittent hypoxia enhances disease progression in myeloma-resistant mice. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 316(5). R678–R686. 9 indexed citations

Tewari, Brij Nath, Khemraj Singh Baghel, Chakrapani Tripathi, et al.. (2016). A study on local expression of NF-κB, CCL2 and their involvement in intratumoral macrophage infiltration in breast cancer.. PubMed. 62(2). 116–25. 4 indexed citations

Khare, Prashant, Anil K. Jaiswal, Chakrapani Tripathi, Shyam Sundar, & Anuradha Dube. (2016). Immunoprotective responses of T helper type 1 stimulatory protein-S-adenosyl-L-homocysteine hydrolase against experimental visceral leishmaniasis. Clinical & Experimental Immunology. 185(2). 165–179. 9 indexed citations

Baghel, Khemraj Singh, Ranjana Kanchan, Rahul Shrivastava, et al.. (2016). Physical interaction of estrogen receptor with MnSOD: implication in mitochondrial O2.− upregulation and mTORC2 potentiation in estrogen-responsive breast cancer cells. Oncogene. 36(13). 1829–1839. 17 indexed citations

10.

Baghel, Khemraj Singh, Brij Nath Tewari, Richa Shrivastava, et al.. (2016). Macrophages promote matrix protrusive and invasive function of breast cancer cells via MIP-1β dependent upregulation ofMYO3Agene in breast cancer cells. OncoImmunology. 5(7). e1196299–e1196299. 29 indexed citations

11.

Dubey, Prashant, Rahul Shrivastava, Chakrapani Tripathi, et al.. (2014). Cyclooxygenase-2 inhibition attenuates hypoxic cancer cells induced m2-polarization of macrophages.. PubMed. 60(3). 10–5. 16 indexed citations

12.

Tripathi, Chakrapani, Brij Nath Tewari, Ranjana Kanchan, et al.. (2014). Macrophages are recruited to hypoxic tumor areas and acquire a Pro-Angiogenic M2-Polarized phenotype via hypoxic cancer cell derived cytokines Oncostatin M and Eotaxin. Oncotarget. 5(14). 5350–5368. 180 indexed citations

13.

Tripathi, Chakrapani, et al.. (2014). Efficacy of Withania somnifera chemotypes NMITLI – 101R, 118R and Withaferin A against experimental visceral leishmaniasis. Parasite Immunology. 36(6). 253–265. 7 indexed citations

14.

Kumar, Balawant, Chakrapani Tripathi, Ranjana Kanchan, et al.. (2013). Dynamics of Physical Interaction between HIV-1 Nef and ASK1: Identifying the Interacting Motif(S). PLoS ONE. 8(6). e67586–e67586. 10 indexed citations

15.

Kanchan, Ranjana, Chakrapani Tripathi, Khemraj Singh Baghel, et al.. (2012). Estrogen receptor potentiates mTORC2 signaling in breast cancer cells by upregulating superoxide anions. Free Radical Biology and Medicine. 53(10). 1929–1941. 15 indexed citations

16.

Bhadauria, Smrati, Rajeev Mishra, Ranjana Kanchan, et al.. (2010). Isoniazid-induced apoptosis in HepG2 cells: Generation of oxidative stress and Bcl-2 down-regulation. Toxicology Mechanisms and Methods. 20(5). 242–251. 34 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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