Kanak Raina

4.2k total citations · 2 hit papers
23 papers, 3.0k citations indexed

About

Kanak Raina is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Kanak Raina has authored 23 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Hematology and 7 papers in Oncology. Recurrent topics in Kanak Raina's work include Protein Degradation and Inhibitors (19 papers), Ubiquitin and proteasome pathways (9 papers) and Multiple Myeloma Research and Treatments (8 papers). Kanak Raina is often cited by papers focused on Protein Degradation and Inhibitors (19 papers), Ubiquitin and proteasome pathways (9 papers) and Multiple Myeloma Research and Treatments (8 papers). Kanak Raina collaborates with scholars based in United States, United Kingdom and France. Kanak Raina's co-authors include Craig M. Crews, Andrew P. Crew, Yimin Qian, Kevin Coleman, Jing Wang, Hanqing Dong, James D. Winkler, Martha Altieri, Jing Lü and John Hines and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Kanak Raina

22 papers receiving 2.9k citations

Hit Papers

Hijacking the E3 Ubiquitin Ligase Cereblon to Efficiently... 2015 2026 2018 2022 2015 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kanak Raina United States 14 2.8k 996 828 166 135 23 3.0k
Joshiawa Paulk United States 14 3.4k 1.2× 998 1.0× 845 1.0× 138 0.8× 86 0.6× 18 3.6k
Justin M. Roberts United States 12 2.4k 0.9× 669 0.7× 594 0.7× 124 0.7× 94 0.7× 17 2.6k
Taavi K. Neklesa United States 18 2.0k 0.7× 784 0.8× 380 0.5× 141 0.8× 155 1.1× 25 2.2k
Georg Winter United States 12 1.8k 0.6× 589 0.6× 300 0.4× 63 0.4× 63 0.5× 20 2.0k
Brian E. Cathers United States 17 2.2k 0.8× 619 0.6× 904 1.1× 121 0.7× 54 0.4× 31 2.6k
Ronald M. Paranal United States 11 1.8k 0.6× 480 0.5× 264 0.3× 168 1.0× 82 0.6× 17 2.2k
Antonia Lopez‐Girona United States 22 3.1k 1.1× 1.1k 1.1× 1.2k 1.5× 61 0.4× 587 4.3× 58 3.6k
Kwok-Ho Chan United Kingdom 14 2.4k 0.8× 920 0.9× 723 0.9× 122 0.7× 40 0.3× 17 2.5k
Nicholas Kwiatkowski United States 31 3.2k 1.1× 1.5k 1.5× 393 0.5× 273 1.6× 478 3.5× 48 3.9k
Mohammad Azam United States 18 694 0.2× 318 0.3× 856 1.0× 144 0.9× 59 0.4× 36 1.6k

Countries citing papers authored by Kanak Raina

Since Specialization
Citations

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

Fields of papers citing papers by Kanak Raina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kanak Raina

This figure shows the co-authorship network connecting the top 25 collaborators of Kanak Raina. A scholar is included among the top collaborators of Kanak Raina 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 Kanak Raina. Kanak Raina 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.
Raina, Kanak, Kyle J. Eastman, Xinheng Yu, et al.. (2023). An oral androgen receptor RIPTAC for prostate cancer.. Journal of Clinical Oncology. 41(6_suppl). 184–184. 7 indexed citations
2.
Mill, Christopher P., Warren Fiskus, Courtney D. DiNardo, et al.. (2019). RUNX1-targeted therapy for AML expressing somatic or germline mutation in RUNX1. Blood. 134(1). 59–73. 77 indexed citations
3.
Neklesa, Taavi K., Lawrence B. Snyder, Ryan R. Willard, et al.. (2018). An oral androgen receptor PROTAC degrader for prostate cancer.. Journal of Clinical Oncology. 36(6_suppl). 381–381. 14 indexed citations
4.
Neklesa, Taavi K., Lawrence B. Snyder, Ryan R. Willard, et al.. (2018). Abstract 5236: ARV-110: An androgen receptor PROTAC degrader for prostate cancer. Cancer Research. 78(13_Supplement). 5236–5236. 50 indexed citations
5.
Mill, Christopher P., Warren Fiskus, Courtney D. DiNardo, et al.. (2017). Targeted Therapy for AML Expressing RUNX1 Mutation. Blood. 130. 2472–2472. 1 indexed citations
6.
Raina, Kanak & Craig M. Crews. (2017). Targeted protein knockdown using small molecule degraders. Current Opinion in Chemical Biology. 39. 46–53. 98 indexed citations
7.
Sun, Baohua, Warren Fiskus, Yimin Qian, et al.. (2017). BET protein proteolysis targeting chimera (PROTAC) exerts potent lethal activity against mantle cell lymphoma cells. Leukemia. 32(2). 343–352. 136 indexed citations
8.
Piya, Sujan, Hong Mu, Seemana Bhattacharya, et al.. (2017). BRD4 Proteolysis Targeting Chimera (PROTAC) ARV-825 Targets Both NOTCH1-MYC Regulatory Circuit and Leukemia-Microenvironment in T-ALL. Blood. 130(Suppl_1). 716–716. 1 indexed citations
9.
Crew, Andrew P., Kanak Raina, Hanqing Dong, et al.. (2017). Identification and Characterization of Von Hippel-Lindau-Recruiting Proteolysis Targeting Chimeras (PROTACs) of TANK-Binding Kinase 1. Journal of Medicinal Chemistry. 61(2). 583–598. 195 indexed citations
10.
Neklesa, Taavi K., Lawrence B. Snyder, Mark Bookbinder, et al.. (2017). An oral androgen receptor PROTAC degrader for prostate cancer.. Journal of Clinical Oncology. 35(6_suppl). 273–273. 23 indexed citations
11.
Neklesa, Taavi K., Lawrence B. Snyder, Mark Bookbinder, et al.. (2017). Abstract 5637: An oral Androgen Receptor PROTAC degrader for prostate cancer. Cancer Research. 77(13_Supplement). 5637–5637. 2 indexed citations
12.
Winkler, Julia, Kanak Raina, Martha Altieri, et al.. (2016). PROTAC BET degraders are more broadly effective than BET inhibitors. European Journal of Cancer. 69. S10–S10. 3 indexed citations
13.
Raina, Kanak, Jing Lü, Yimin Qian, et al.. (2016). PROTAC-induced BET protein degradation as a therapy for castration-resistant prostate cancer. Proceedings of the National Academy of Sciences. 113(26). 7124–7129. 661 indexed citations breakdown →
15.
Lü, Jing, Yimin Qian, Martha Altieri, et al.. (2015). Hijacking the E3 Ubiquitin Ligase Cereblon to Efficiently Target BRD4. Chemistry & Biology. 22(6). 755–763. 849 indexed citations breakdown →
16.
Lü, Jing, Yimin Qian, Kanak Raina, et al.. (2015). BRD4 Degradation By Protacs Represents a More Effective Therapeutic Strategy Than BRD4 Inhibitors in DLBCL. Blood. 126(23). 2050–2050. 3 indexed citations
17.
Raina, Kanak, et al.. (2014). Targeted protein destabilization reveals an estrogen-mediated ER stress response. Nature Chemical Biology. 10(11). 957–962. 70 indexed citations
18.
Tae, Hyun Seop, Thomas B. Sundberg, Taavi K. Neklesa, et al.. (2012). Identification of Hydrophobic Tags for the Degradation of Stabilized Proteins. ChemBioChem. 13(4). 538–541. 83 indexed citations
19.
Neklesa, Taavi K., Hyun Seop Tae, Michael J. Stulberg, et al.. (2011). Small-molecule hydrophobic tagging–induced degradation of HaloTag fusion proteins. Nature Chemical Biology. 7(8). 538–543. 322 indexed citations
20.
Raina, Kanak & Craig M. Crews. (2010). Chemical Inducers of Targeted Protein Degradation. Journal of Biological Chemistry. 285(15). 11057–11060. 57 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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