Charles Karan

2.4k total citations
32 papers, 940 citations indexed

About

Charles Karan is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Charles Karan has authored 32 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Computational Theory and Mathematics. Recurrent topics in Charles Karan's work include Carcinogens and Genotoxicity Assessment (6 papers), Computational Drug Discovery Methods (5 papers) and Bioinformatics and Genomic Networks (5 papers). Charles Karan is often cited by papers focused on Carcinogens and Genotoxicity Assessment (6 papers), Computational Drug Discovery Methods (5 papers) and Bioinformatics and Genomic Networks (5 papers). Charles Karan collaborates with scholars based in United States, Germany and Italy. Charles Karan's co-authors include Ronald Realubit, Benjamin L. Miller, Andrea Califano, Mukesh Bansal, Michela Mattioli, Jung Hoon Woo, Gonzalo López, Paola Nicoletti, Archana Iyer and Brent R. Stockwell and has published in prestigious journals such as Cell, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Charles Karan

32 papers receiving 929 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles Karan United States 16 535 215 188 125 91 32 940
Teeru Bihani United States 14 530 1.0× 210 1.0× 353 1.9× 388 3.1× 59 0.6× 27 1.1k
Peter Drueckes Switzerland 15 727 1.4× 96 0.4× 146 0.8× 290 2.3× 60 0.7× 24 1.2k
Kevin Hudson United Kingdom 17 779 1.5× 156 0.7× 71 0.4× 223 1.8× 47 0.5× 30 1.1k
Mengzhu Xue China 17 554 1.0× 274 1.3× 148 0.8× 258 2.1× 120 1.3× 31 937
Olivia Gardner United States 13 669 1.3× 102 0.5× 113 0.6× 407 3.3× 68 0.7× 22 929
Martina S.J. McDermott United States 16 488 0.9× 172 0.8× 225 1.2× 438 3.5× 26 0.3× 33 969
Philip Ryan United States 14 514 1.0× 86 0.4× 195 1.0× 159 1.3× 25 0.3× 23 824
Julie C. Lougheed United States 12 571 1.1× 109 0.5× 168 0.9× 259 2.1× 36 0.4× 16 998
Kate F. Byth United States 15 520 1.0× 152 0.7× 98 0.5× 400 3.2× 36 0.4× 20 1.0k
Christopher J. Matheson United States 13 647 1.2× 128 0.6× 87 0.5× 442 3.5× 59 0.6× 22 977

Countries citing papers authored by Charles Karan

Since Specialization
Citations

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

Fields of papers citing papers by Charles Karan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Karan

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Karan. A scholar is included among the top collaborators of Charles Karan 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 Charles Karan. Charles Karan 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.
Utkina-Sosunova, Irina, A Chiorazzi, Mariangels De Planell-Saguer, et al.. (2024). Molsidomine provides neuroprotection against vincristine-induced peripheral neurotoxicity through soluble guanylyl cyclase activation. Scientific Reports. 14(1). 19341–19341. 3 indexed citations
2.
Rosenberger, George, Mikko Turunen, Jing He, et al.. (2024). Network-based elucidation of colon cancer drug resistance mechanisms by phosphoproteomic time-series analysis. Nature Communications. 15(1). 3909–3909. 6 indexed citations
3.
Shuryak, Igor, Brian Ponnaiya, Mikhail Repin, et al.. (2024). Multiwell-based G0-PCC assay for radiation biodosimetry. Scientific Reports. 14(1). 19789–19789. 1 indexed citations
4.
Romano, Joseph D., Hai Li, Ronald Realubit, et al.. (2023). Discovering Venom-Derived Drug Candidates Using Differential Gene Expression. Toxins. 15(7). 451–451. 2 indexed citations
5.
Laise, Pasquale, Megan L. Stanifer, Xiaoyun Sun, et al.. (2022). A model for network-based identification and pharmacological targeting of aberrant, replication-permissive transcriptional programs induced by viral infection. Communications Biology. 5(1). 714–714. 3 indexed citations
6.
Repin, Mikhail, Adayabalam S. Balajee, Igor Shuryak, et al.. (2020). The RABiT-II DCA in the Rhesus Macaque Model. Radiation Research. 196(5). 501–509. 9 indexed citations
7.
Ahsen, Mehmet Eren, Thomas Schaffter, Xintong Chen, et al.. (2020). The transcriptomic response of cells to a drug combination is more than the sum of the responses to the monotherapies. eLife. 9. 19 indexed citations
8.
Ambrosini, Grazia, Catherine Do, Benjamin Tycko, et al.. (2019). Inhibition of NF-κB–Dependent Signaling Enhances Sensitivity and Overcomes Resistance to BET Inhibition in Uveal Melanoma. Cancer Research. 79(9). 2415–2425. 34 indexed citations
9.
Repin, Mikhail, et al.. (2019). RABiT-II-DCA: A Fully-automated Dicentric Chromosome Assay in Multiwell Plates. Radiation Research. 192(3). 311–311. 27 indexed citations
10.
Davé, Utpal P., Irina V. Lebedeva, Yao Shen, et al.. (2017). PI3Kγ/δ and NOTCH1 Cross-Regulate Pathways That Define the T-cell Acute Lymphoblastic Leukemia Disease Signature. Molecular Cancer Therapeutics. 16(10). 2069–2082. 7 indexed citations
11.
Bush, Erin, F. Andrew Ray, Mariano J. Alvarez, et al.. (2017). PLATE-Seq for genome-wide regulatory network analysis of high-throughput screens. Nature Communications. 8(1). 105–105. 63 indexed citations
12.
Shen, Yao, Mariano J. Alvarez, Brygida Bisikirska, et al.. (2017). Systematic, network-based characterization of therapeutic target inhibitors. PLoS Computational Biology. 13(10). e1005599–e1005599. 16 indexed citations
13.
Latif, Rauf, Ronald Realubit, Charles Karan, Mihaly Mezei, & Terry F. Davies. (2016). TSH Receptor Signaling Abrogation by a Novel Small Molecule. Frontiers in Endocrinology. 7. 130–130. 37 indexed citations
14.
Chang, Jeremy, Kayla M. Quinnies, Ronald Realubit, et al.. (2016). A novel, rapid method to compare the therapeutic windows of oral anticoagulants using the Hill coefficient. Scientific Reports. 6(1). 29387–29387. 10 indexed citations
15.
Realubit, Ronald, Sungkwon Chung, Dieter Lütjohann, et al.. (2016). Bioactive Compound Screen for Pharmacological Enhancers of Apolipoprotein E in Primary Human Astrocytes. Cell chemical biology. 23(12). 1526–1538. 17 indexed citations
16.
Jain, Salvia, Kelly Zullo, Luigi Scotto, et al.. (2015). Preclinical Pharmacologic Evaluation of Pralatrexate and Romidepsin Confirms Potent Synergy of the Combination in a Murine Model of Human T-cell Lymphoma. Clinical Cancer Research. 21(9). 2096–2106. 49 indexed citations
17.
Woo, Jung Hoon, Yishai Shimoni, Wan Seok Yang, et al.. (2015). Elucidating Compound Mechanism of Action by Network Perturbation Analysis. Cell. 162(2). 441–451. 278 indexed citations
18.
Sonabend, Adam M., Mukesh Bansal, Lei Liang, et al.. (2014). Convection-enhanced delivery of etoposide is effective against murine proneural glioblastoma. Neuro-Oncology. 16(9). 1210–1219. 29 indexed citations
20.
Schecter, Arnold & Charles Karan. (1991). The Binghamton State Office Building transformer incident after one decade. Chemosphere. 23(8-10). 1307–1321. 2 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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