Kiran Tripathi

474 total citations
11 papers, 346 citations indexed

About

Kiran Tripathi is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Kiran Tripathi has authored 11 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Oncology. Recurrent topics in Kiran Tripathi's work include Bladder and Urothelial Cancer Treatments (3 papers), Advanced Biosensing Techniques and Applications (2 papers) and Trypanosoma species research and implications (2 papers). Kiran Tripathi is often cited by papers focused on Bladder and Urothelial Cancer Treatments (3 papers), Advanced Biosensing Techniques and Applications (2 papers) and Trypanosoma species research and implications (2 papers). Kiran Tripathi collaborates with scholars based in India and United States. Kiran Tripathi's co-authors include Jeremy D. Driskell, Minal Garg, Shyam Sundar, Kalpana Pai, Hari Prasad Pandey, Ramesh Kumar, Apul Goel, Nishant Srivastava, Anand Mishra and Krishan Kumar Saini and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Clinica Chimica Acta.

In The Last Decade

Kiran Tripathi

11 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kiran Tripathi India 6 208 142 44 43 42 11 346
Koo Chul Kwon South Korea 10 237 1.1× 151 1.1× 34 0.8× 45 1.0× 114 2.7× 14 413
Chen-Hsun Weng Taiwan 11 174 0.8× 333 2.3× 28 0.6× 41 1.0× 19 0.5× 25 451
А. В. Лахин Russia 5 607 2.9× 265 1.9× 56 1.3× 17 0.4× 52 1.2× 7 744
Yadveer S. Grewal Australia 11 306 1.5× 219 1.5× 56 1.3× 89 2.1× 11 0.3× 13 477
Jin-Seung Park South Korea 12 350 1.7× 128 0.9× 42 1.0× 22 0.5× 54 1.3× 21 493
Dong‐Min Kim South Korea 14 297 1.4× 229 1.6× 18 0.4× 32 0.7× 67 1.6× 25 456
Qiumei Wu China 8 164 0.8× 104 0.7× 13 0.3× 41 1.0× 27 0.6× 12 434
Keum-Young Ahn South Korea 11 319 1.5× 130 0.9× 38 0.9× 28 0.7× 63 1.5× 18 446
Luiza I. Hernandez Spain 13 512 2.5× 214 1.5× 27 0.6× 10 0.2× 47 1.1× 17 654
Yushuang Wei China 13 210 1.0× 164 1.2× 35 0.8× 23 0.5× 157 3.7× 32 489

Countries citing papers authored by Kiran Tripathi

Since Specialization
Citations

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

Fields of papers citing papers by Kiran Tripathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiran Tripathi

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

All Works

11 of 11 papers shown
1.
Saini, Krishan Kumar, Kiran Tripathi, Priyanka Rai, et al.. (2024). ACSL4-mediated H3K9 and H3K27 hyperacetylation upregulates SNAIL to drive TNBC metastasis. Proceedings of the National Academy of Sciences. 121(52). e2408049121–e2408049121. 3 indexed citations
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Tripathi, Kiran, et al.. (2021). Promoter hypomethylation as potential confounder of Ras gene overexpression and their clinical significance in subsets of urothelial carcinoma of bladder. Molecular Biology Reports. 48(3). 2183–2199. 7 indexed citations
5.
Tripathi, Kiran, et al.. (2020). Mutational analysis ofRashotspots in patients with urothelial carcinoma of the bladder. World Journal of Clinical Oncology. 11(8). 614–628. 5 indexed citations
6.
Tripathi, Kiran, et al.. (2019). pH Impacts the Orientation of Antibody Adsorbed onto Gold Nanoparticles. Bioconjugate Chemistry. 30(4). 1182–1191. 124 indexed citations
7.
Tripathi, Kiran & Jeremy D. Driskell. (2018). Quantifying Bound and Active Antibodies Conjugated to Gold Nanoparticles: A Comprehensive and Robust Approach To Evaluate Immobilization Chemistry. ACS Omega. 3(7). 8253–8259. 113 indexed citations
8.
Tripathi, Kiran & Minal Garg. (2018). Mechanistic regulation of epithelial-to-mesenchymal transition through RAS signaling pathway and therapeutic implications in human cancer. Journal of Cell Communication and Signaling. 12(3). 513–527. 41 indexed citations
9.
Tripathi, Kiran, et al.. (2016). Bacteriological Profile in Acute Exacerbation of Chronic Obstructive Lung Disease (AECOPD). Annals of International medical and Dental Research. 2(5). 3 indexed citations
10.
Tripathi, Kiran, et al.. (2007). Adenosine deaminase activity in sera of patients with visceral leishmaniasis in India. Clinica Chimica Acta. 388(1-2). 135–138. 27 indexed citations
11.
Pai, Kalpana, et al.. (2002). Immunoblot Analysis of the Humoral Immune Response toLeishmania donovaniPolypeptides in Cases of Human Visceral Leishmaniasis: Its Usefulness in Prognosis. Clinical and Vaccine Immunology. 9(5). 1119–1123. 19 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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