Conan G. Kinsey

3.8k total citations
20 papers, 392 citations indexed

About

Conan G. Kinsey is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Conan G. Kinsey has authored 20 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Oncology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Conan G. Kinsey's work include Pancreatic and Hepatic Oncology Research (7 papers), Advanced Breast Cancer Therapies (5 papers) and Autophagy in Disease and Therapy (4 papers). Conan G. Kinsey is often cited by papers focused on Pancreatic and Hepatic Oncology Research (7 papers), Advanced Breast Cancer Therapies (5 papers) and Autophagy in Disease and Therapy (4 papers). Conan G. Kinsey collaborates with scholars based in United States, Japan and France. Conan G. Kinsey's co-authors include Hartmut Land, Laurel Newman, Ignacio Garrido‐Laguna, Lev B. Klebanov, Erik R. Sampson, Peter Salzman, Bradley Smith, Helene R. McMurray, Martin McMahon and Christa L. Whitney‐Miller and has published in prestigious journals such as Nature, The Journal of Experimental Medicine and Journal of Clinical Oncology.

In The Last Decade

Conan G. Kinsey

17 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Conan G. Kinsey United States 9 209 136 70 55 42 20 392
Regina Berger Austria 10 171 0.8× 124 0.9× 75 1.1× 34 0.6× 94 2.2× 28 445
Deep Pandya United States 9 174 0.8× 105 0.8× 71 1.0× 34 0.6× 27 0.6× 19 352
Yulei Du China 11 273 1.3× 111 0.8× 107 1.5× 27 0.5× 29 0.7× 16 396
Ezequiel Luis Calvo France 7 297 1.4× 144 1.1× 86 1.2× 41 0.7× 45 1.1× 8 463
María F. Ogara Argentina 9 249 1.2× 145 1.1× 59 0.8× 22 0.4× 31 0.7× 11 395
Hirokazu Nakatsumi Japan 10 278 1.3× 103 0.8× 51 0.7× 58 1.1× 71 1.7× 13 442
Rachel S. Salamon United States 9 317 1.5× 69 0.5× 42 0.6× 38 0.7× 66 1.6× 10 436
Wen-Cheng Chung United States 9 218 1.0× 98 0.7× 64 0.9× 17 0.3× 38 0.9× 13 350
Marina Kolesnichenko Germany 12 212 1.0× 83 0.6× 64 0.9× 20 0.4× 80 1.9× 13 379
Moon-Chang Choi South Korea 9 379 1.8× 90 0.7× 54 0.8× 26 0.5× 46 1.1× 11 456

Countries citing papers authored by Conan G. Kinsey

Since Specialization
Citations

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

Fields of papers citing papers by Conan G. Kinsey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Conan G. Kinsey. 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 Conan G. Kinsey. The network helps show where Conan G. Kinsey may publish in the future.

Co-authorship network of co-authors of Conan G. Kinsey

This figure shows the co-authorship network connecting the top 25 collaborators of Conan G. Kinsey. A scholar is included among the top collaborators of Conan G. Kinsey 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 Conan G. Kinsey. Conan G. Kinsey 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.
Ghazi, Phaedra C., Mark R. Silvis, Yun Zhang, et al.. (2024). Inhibition of ULK1/2 and KRASG12C controls tumor growth in preclinical models of lung cancer. eLife. 13. 9 indexed citations
2.
Ghazi, Phaedra C., Mark R. Silvis, Yun Zhang, et al.. (2024). Inhibition of ULK1/2 and KRASG12C controls tumor growth in preclinical models of lung cancer. eLife. 13. 5 indexed citations
3.
Silvis, Mark R., Sophia Schuman, Swapna Aravind Gudipaty, et al.. (2023). Abstract 3861: c-MYC mediated resistance to trametinib plus hydroxychloroquine in pancreatic cancer is overcome by CDK4/6 and lysosomal inhibition. Cancer Research. 83(7_Supplement). 3861–3861.
4.
Vaishnavi, Aria, Conan G. Kinsey, & Martin McMahon. (2023). Preclinical Modeling of Pathway-Targeted Therapy of Human Lung Cancer in the Mouse. Cold Spring Harbor Perspectives in Medicine. 14(1). a041385–a041385. 3 indexed citations
5.
Silvis, Mark R., Sophia Schuman, Swapna Aravind Gudipaty, et al.. (2023). MYC-mediated resistance to trametinib and HCQ in PDAC is overcome by CDK4/6 and lysosomal inhibition. The Journal of Experimental Medicine. 220(3). 21 indexed citations
6.
Greenberg, Samantha, Wendy Kohlmann, Joanne Jeter, et al.. (2022). Discrepancies between tumor genomic profiling and germline genetic testing. ESMO Open. 7(4). 100526–100526. 10 indexed citations
7.
Rahib, Lola, David K. Chang, Davendra Sohal, et al.. (2022). Cancer Commons’ virtual tumor board program: A patient-centric advisory panel and real-world data registry.. Journal of Clinical Oncology. 40(4_suppl). 527–527. 1 indexed citations
8.
9.
Foth, Mona, Ignacio Garrido‐Laguna, & Conan G. Kinsey. (2021). Therapeutic Targeting of Autophagy in Pancreatic Cancer. Surgical Oncology Clinics of North America. 30(4). 709–718. 4 indexed citations
10.
Truong, Amanda, Jae Hyuk Yoo, John Michael S. Sanchez, et al.. (2020). Chloroquine Sensitizes GNAQ/11 -mutated Melanoma to MEK1/2 Inhibition. Clinical Cancer Research. 26(23). 6374–6386. 38 indexed citations
11.
Vaishnavi, Aria, Conan G. Kinsey, Amanda Truong, et al.. (2020). Inhibition of MEK1/2 Forestalls the Onset of Acquired Resistance to Entrectinib in Multiple Models of NTRK1-Driven Cancer. Cell Reports. 32(5). 107994–107994. 17 indexed citations
12.
Rahib, Lola, Karen Chen, Allyson J. Ocean, et al.. (2020). Use of a real-world data approach to rapidly generate outcomes data following a case study of a novel treatment combination in pancreatic adenocarcinoma.. Journal of Clinical Oncology. 38(15_suppl). e16735–e16735. 3 indexed citations
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15.
Garrido‐Laguna, Ignacio, et al.. (2018). Combination immunotherapy and radiation therapy strategies for pancreatic cancer—targeting multiple steps in the cancer immunity cycle. Journal of Gastrointestinal Oncology. 9(6). 1014–1026. 42 indexed citations
16.
Kinsey, Conan G., Katrin P. Guillen, Soledad A. Camolotto, et al.. (2018). Abstract LB-254: Combined inhibition of MEK and autophagy promotes regression of pancreatic cancer. Cancer Research. 78(13_Supplement). LB–254. 1 indexed citations
17.
Kinsey, Conan G., Michael R. O’Dell, Jing Huang, et al.. (2014). Plac8 Links Oncogenic Mutations to Regulation of Autophagy and Is Critical to Pancreatic Cancer Progression. Cell Reports. 7(4). 1143–1155. 67 indexed citations
18.
McMurray, Helene R., Erik R. Sampson, Conan G. Kinsey, et al.. (2008). Synergistic response to oncogenic mutations defines gene class critical to cancer phenotype. Nature. 453(7198). 1112–1116. 122 indexed citations
19.
Kinsey, Conan G., Gianni Bussolati, Martino Bosco, et al.. (2007). Constitutive and ligand‐induced nuclear localization of oxytocin receptor. Journal of Cellular and Molecular Medicine. 11(1). 96–110. 40 indexed citations
20.
Takahashi, M., et al.. (2002). Transformation of MC3T3-E1 cells following stress and transfection with pSV2neo plasmid.. PubMed. 22(2A). 585–98. 1 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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