Kyle R. Cron

1.0k total citations · 1 hit paper
10 papers, 794 citations indexed

About

Kyle R. Cron is a scholar working on Oncology, Molecular Biology and Biotechnology. According to data from OpenAlex, Kyle R. Cron has authored 10 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Molecular Biology and 3 papers in Biotechnology. Recurrent topics in Kyle R. Cron's work include Cancer Research and Treatments (3 papers), DNA Repair Mechanisms (3 papers) and Ubiquitin and proteasome pathways (3 papers). Kyle R. Cron is often cited by papers focused on Cancer Research and Treatments (3 papers), DNA Repair Mechanisms (3 papers) and Ubiquitin and proteasome pathways (3 papers). Kyle R. Cron collaborates with scholars based in United States and China. Kyle R. Cron's co-authors include Xiaojuan Liu, Justin Kline, Liufu Deng, William A. Frazier, Yang Pu, Hua Peng, Hairong Xu, Yang‐Xin Fu, Meng Xu and Abigail L. Sedlacek and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Kyle R. Cron

8 papers receiving 782 citations

Hit Papers

CD47 blockade triggers T cell–mediated destruction of imm... 2015 2026 2018 2022 2015 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyle R. Cron United States 4 584 299 219 85 78 10 794
Nan Ring United States 7 782 1.3× 464 1.6× 258 1.2× 92 1.1× 109 1.4× 12 1.1k
Anna Koutoulaki Greece 5 659 1.1× 255 0.9× 182 0.8× 29 0.3× 35 0.4× 9 834
Virginia Cecconi Switzerland 12 680 1.2× 357 1.2× 310 1.4× 29 0.3× 33 0.4× 21 964
Martina Damo United States 10 436 0.7× 357 1.2× 546 2.5× 45 0.5× 23 0.3× 13 978
Caroline Arber United States 16 343 0.6× 504 1.7× 235 1.1× 132 1.6× 21 0.3× 30 762
Gang Xue China 14 338 0.6× 282 0.9× 219 1.0× 75 0.9× 30 0.4× 39 710
Yumi Kinugasa‐Katayama Japan 5 577 1.0× 325 1.1× 263 1.2× 138 1.6× 37 0.5× 7 898
Greg Motz United States 5 653 1.1× 590 2.0× 232 1.1× 109 1.3× 17 0.2× 10 947
Lestat R. Ali United States 12 355 0.6× 332 1.1× 177 0.8× 55 0.6× 25 0.3× 17 595
Xuexiang Du United States 10 504 0.9× 586 2.0× 204 0.9× 61 0.7× 12 0.2× 21 856

Countries citing papers authored by Kyle R. Cron

Since Specialization
Citations

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

Fields of papers citing papers by Kyle R. Cron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle R. Cron. 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 Kyle R. Cron. The network helps show where Kyle R. Cron may publish in the future.

Co-authorship network of co-authors of Kyle R. Cron

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

All Works

10 of 10 papers shown
2.
3.
Cron, Kyle R., Ayelet Sivan, Keston Aquino-Michaels, et al.. (2021). 642 Decreased host PKC-delta is associated with the T cell-inflamed tumor microenvironment and improves anti-tumor immunity. SHILAP Revista de lepidopterología. A671–A671. 1 indexed citations
4.
Cabanov, Alexandra, Blake Flood, Jeffrey Bloodworth, et al.. (2020). Treatment with tocilizumab does not inhibit induction of anti-COVID-19 antibodies in patients with severe SARS-CoV-2 infection. Clinical Cancer Research. 26(18).
5.
Cabanov, Alexandra, Blake Flood, Jeffrey Bloodworth, et al.. (2020). Abstract S04-02: Treatment with tocilizumab does not inhibit induction of anti-COVID-19 antibodies in patients with severe SARS-CoV-2 infection. Clinical Cancer Research. 26(18_Supplement). S04–2. 1 indexed citations
6.
Kushwaha, Deepa, Colin O’Leary, Kyle R. Cron, et al.. (2015). USP9X inhibition promotes radiation-induced apoptosis in non-small cell lung cancer cells expressing mid-to-high MCL1. Cancer Biology & Therapy. 16(3). 392–401. 31 indexed citations
7.
Liu, Xiaojuan, Yang Pu, Kyle R. Cron, et al.. (2015). CD47 blockade triggers T cell–mediated destruction of immunogenic tumors. Nature Medicine. 21(10). 1209–1215. 611 indexed citations breakdown →
8.
Gerber, Scott A., Abigail L. Sedlacek, Kyle R. Cron, et al.. (2013). IFN-γ Mediates the Antitumor Effects of Radiation Therapy in a Murine Colon Tumor. American Journal Of Pathology. 182(6). 2345–2354. 101 indexed citations
9.
Cron, Kyle R., Kaya Zhu, Deepa Kushwaha, et al.. (2013). Proteasome Inhibitors Block DNA Repair and Radiosensitize Non-Small Cell Lung Cancer. PLoS ONE. 8(9). e73710–e73710. 46 indexed citations
10.
Kozono, David, Kyle R. Cron, Deepa Kushwaha, & Alan D. D’Andrea. (2013). Proteasome Inhibitors Block DNA Repair and Radiosensitize Non-Small Cell Lung Cancer. International Journal of Radiation Oncology*Biology*Physics. 87(2). S21–S21. 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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