Rama Krishna Kancha

1.1k total citations
37 papers, 761 citations indexed

About

Rama Krishna Kancha is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Rama Krishna Kancha has authored 37 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Oncology and 10 papers in Organic Chemistry. Recurrent topics in Rama Krishna Kancha's work include Chronic Myeloid Leukemia Treatments (8 papers), Lung Cancer Treatments and Mutations (8 papers) and Cancer therapeutics and mechanisms (7 papers). Rama Krishna Kancha is often cited by papers focused on Chronic Myeloid Leukemia Treatments (8 papers), Lung Cancer Treatments and Mutations (8 papers) and Cancer therapeutics and mechanisms (7 papers). Rama Krishna Kancha collaborates with scholars based in India, Germany and United States. Rama Krishna Kancha's co-authors include Justus Duyster, Christian Peschel, Nikolas von Bubnoff, Janakiraman Subramanian, Ashiq Masood, Dashavantha Reddy Vudem, Mark E. Stearns, M. Mahmood Hussain, Richard A. Engh and Rebekka Grundler and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Clinical Cancer Research.

In The Last Decade

Rama Krishna Kancha

35 papers receiving 754 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rama Krishna Kancha India 14 365 304 286 150 114 37 761
D. Gandara United States 11 377 1.0× 203 0.7× 478 1.7× 83 0.6× 40 0.4× 26 837
Xiaofen Pan China 15 107 0.3× 170 0.6× 330 1.2× 131 0.9× 102 0.9× 35 706
G. Cropp United States 17 518 1.4× 158 0.5× 650 2.3× 141 0.9× 59 0.5× 41 1.1k
Toshiyuki Isoe Japan 16 385 1.1× 145 0.5× 623 2.2× 110 0.7× 159 1.4× 30 935
Alessandro Perez Italy 15 272 0.7× 206 0.7× 301 1.1× 181 1.2× 38 0.3× 41 693
Steve Bender United States 7 259 0.7× 269 0.9× 399 1.4× 148 1.0× 47 0.4× 9 650
Michael Goldbrunner Germany 7 268 0.7× 205 0.7× 572 2.0× 138 0.9× 239 2.1× 9 943
Leslie R. Pustilnik United States 10 393 1.1× 234 0.8× 261 0.9× 63 0.4× 86 0.8× 11 651
Damiano Italy 6 634 1.7× 446 1.5× 346 1.2× 72 0.5× 35 0.3× 11 885
Martina Uttenreuther‐Fischer Germany 16 890 2.4× 666 2.2× 350 1.2× 101 0.7× 90 0.8× 32 1.1k

Countries citing papers authored by Rama Krishna Kancha

Since Specialization
Citations

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

Fields of papers citing papers by Rama Krishna Kancha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rama Krishna Kancha. 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 Rama Krishna Kancha. The network helps show where Rama Krishna Kancha may publish in the future.

Co-authorship network of co-authors of Rama Krishna Kancha

This figure shows the co-authorship network connecting the top 25 collaborators of Rama Krishna Kancha. A scholar is included among the top collaborators of Rama Krishna Kancha 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 Rama Krishna Kancha. Rama Krishna Kancha 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.
Kancha, Rama Krishna, et al.. (2024). A simple and rapid pre-clinical in vivo model reveals comparative cardiotoxicity profiles of kinase inhibitors. Toxicology and Applied Pharmacology. 486. 116944–116944. 2 indexed citations
2.
Rao, L. Vaikunta, et al.. (2024). Synthesis of Novel Benazepril‐Derived Trizole Compounds Assisted by Ultrasound: In Vitro and In Silico Analysis for Potential Anticancer Properties. Chemistry & Biodiversity. 21(10). e202401235–e202401235. 1 indexed citations
3.
4.
Kancha, Rama Krishna, et al.. (2024). Evaluation of Cardiotoxicity of Cancer Chemotherapeutics Using Daphnia magna as a Preclinical Model. Current Protocols. 4(10).
5.
Kancha, Rama Krishna, et al.. (2024). Synthesis and anticancer activity of cinnoline sulphonamides and 4‐heteroyclic derivatives: Cross‐coupling approach. Journal of Heterocyclic Chemistry. 61(6). 958–970. 1 indexed citations
6.
7.
Kancha, Rama Krishna, et al.. (2023). Applications of promiscuity of FDA-approved kinase inhibitors in drug repositioning and toxicity. Toxicology and Applied Pharmacology. 465. 116469–116469. 1 indexed citations
8.
9.
Reddy, Aramati B. M., et al.. (2020). Analysis of cellular models of clonal evolution reveals co-evolution of imatinib and HSP90 inhibitor resistances. Biochemical and Biophysical Research Communications. 534. 461–467. 6 indexed citations
10.
Subramanian, Janakiraman, et al.. (2019). Emergence of ERBB2 Mutation as a Biomarker and an Actionable Target in Solid Cancers. The Oncologist. 24(12). e1303–e1314. 66 indexed citations
11.
Prabhakar, S., et al.. (2019). Evolvement of nutraceutical onion plants engineered for resveratrol biosynthetic pathway. Plant Cell Reports. 38(9). 1127–1137. 6 indexed citations
12.
Sivan, Sree Kanth, et al.. (2018). Computational Analysis of Epidermal Growth Factor Receptor Mutations Predicts Differential Drug Sensitivity Profiles toward Kinase Inhibitors. Journal of Thoracic Oncology. 13(5). 721–726. 11 indexed citations
13.
Kumar, K. Shiva, et al.. (2017). FeCl3 catalysed 7-membered ring formation in a single pot: a new route to indole-fused oxepines/azepines and their cytotoxic activity. Organic & Biomolecular Chemistry. 15(20). 4468–4476. 27 indexed citations
14.
Kancha, Rama Krishna, Nikolas von Bubnoff, & Justus Duyster. (2013). Asymmetric kinase dimer formation is crucial for the activation of oncogenic EGFRvIII but not for ERBB3 phosphorylation. Cell Communication and Signaling. 11(1). 39–39. 16 indexed citations
15.
Kancha, Rama Krishna, et al.. (2013). Analysis of Conformational Determinants Underlying HSP90-Kinase Interaction. PLoS ONE. 8(7). e68394–e68394. 9 indexed citations
16.
Ven, Ward H. van der, Theo A.M. van Os, Peter W.A. Kunst, et al.. (2013). Activating Germline R776H Mutation in the Epidermal Growth Factor Receptor Associated With Lung Cancer With Squamous Differentiation. Journal of Clinical Oncology. 31(10). e161–e164. 47 indexed citations
17.
Kancha, Rama Krishna, et al.. (2011). Differential Sensitivity of ERBB2 Kinase Domain Mutations towards Lapatinib. PLoS ONE. 6(10). e26760–e26760. 92 indexed citations
18.
Kancha, Rama Krishna, Christian Peschel, & Justus Duyster. (2011). The Epidermal Growth Factor Receptor-L861Q Mutation Increases Kinase Activity without Leading to Enhanced Sensitivity Toward Epidermal Growth Factor Receptor Kinase Inhibitors. Journal of Thoracic Oncology. 6(2). 387–392. 37 indexed citations
19.
Kancha, Rama Krishna, Nikolas von Bubnoff, Christian Peschel, & Justus Duyster. (2009). Functional Analysis of Epidermal Growth Factor Receptor (EGFR) Mutations and Potential Implications for EGFR Targeted Therapy. Clinical Cancer Research. 15(2). 460–467. 133 indexed citations
20.
Kancha, Rama Krishna, Rebekka Grundler, Christian Peschel, & Justus Duyster. (2007). Sensitivity toward sorafenib and sunitinib varies between different activating and drug-resistant FLT3-ITD mutations. Experimental Hematology. 35(10). 1522–1526. 42 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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