G. Kenneth Gray

1.5k total citations
18 papers, 828 citations indexed

About

G. Kenneth Gray is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, G. Kenneth Gray has authored 18 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 9 papers in Molecular Biology and 6 papers in Cancer Research. Recurrent topics in G. Kenneth Gray's work include Cancer Cells and Metastasis (5 papers), Single-cell and spatial transcriptomics (4 papers) and interferon and immune responses (3 papers). G. Kenneth Gray is often cited by papers focused on Cancer Cells and Metastasis (5 papers), Single-cell and spatial transcriptomics (4 papers) and interferon and immune responses (3 papers). G. Kenneth Gray collaborates with scholars based in United States, United Kingdom and Netherlands. G. Kenneth Gray's co-authors include Etty Benveniste, Braden C. McFarland, Susan E. Nozell, Suk W. Hong, Joan S. Brugge, Laura M. Selfors, Carman Man-Chung Li, Jennifer M. Rosenbluth, Rajani Rajbhandari and Hao Yu and has published in prestigious journals such as Nature Communications, PLoS ONE and Management Science.

In The Last Decade

G. Kenneth Gray

18 papers receiving 821 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Kenneth Gray United States 11 400 369 251 140 96 18 828
Sanghyun Lee South Korea 5 610 1.5× 439 1.2× 266 1.1× 82 0.6× 87 0.9× 6 923
Stephanie M. Cohen United States 17 350 0.9× 252 0.7× 206 0.8× 120 0.9× 76 0.8× 35 813
Nayoung Jun South Korea 4 607 1.5× 440 1.2× 267 1.1× 81 0.6× 87 0.9× 7 919
Antony Letai United States 11 545 1.4× 303 0.8× 163 0.6× 104 0.7× 35 0.4× 11 840
Haozhe Piao China 18 435 1.1× 179 0.5× 221 0.9× 100 0.7× 98 1.0× 54 791
Sarah J. Conley United States 7 655 1.6× 553 1.5× 497 2.0× 91 0.7× 107 1.1× 13 1.1k
Georg Gdynia Germany 14 510 1.3× 224 0.6× 206 0.8× 147 1.1× 30 0.3× 22 860
Anthony L. Sinn United States 14 373 0.9× 223 0.6× 123 0.5× 139 1.0× 31 0.3× 35 699
EunGi Kim South Korea 9 395 1.0× 205 0.6× 218 0.9× 91 0.7× 86 0.9× 9 716
Vera Levina United States 13 581 1.5× 688 1.9× 296 1.2× 178 1.3× 60 0.6× 18 1.1k

Countries citing papers authored by G. Kenneth Gray

Since Specialization
Citations

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

Fields of papers citing papers by G. Kenneth Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Kenneth Gray

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

All Works

18 of 18 papers shown
1.
Girnius, Nomeda, Benjamin Marks, Jingyou Yu, et al.. (2024). Cilengitide sensitivity is predicted by overall integrin expression in breast cancer. Breast Cancer Research. 26(1). 187–187. 2 indexed citations
2.
Gray, G. Kenneth, Li Ren Kong, Komal Gupta, et al.. (2023). A transcriptional response to replication stress selectively expands a subset of Brca2-mutant mammary epithelial cells. Nature Communications. 14(1). 5206–5206. 3 indexed citations
3.
Gray, G. Kenneth, et al.. (2023). Single-cell and spatial analyses reveal a tradeoff between murine mammary proliferation and lineage programs associated with endocrine cues. Cell Reports. 42(10). 113293–113293. 2 indexed citations
4.
Gray, G. Kenneth, Carman Man-Chung Li, Jennifer M. Rosenbluth, et al.. (2022). A human breast atlas integrating single-cell proteomics and transcriptomics. Developmental Cell. 57(11). 1400–1420.e7. 76 indexed citations
5.
Meng, Qingda, Shanshan Xie, G. Kenneth Gray, et al.. (2021). Empirical identification and validation of tumor-targeting T cell receptors from circulation using autologous pancreatic tumor organoids. Journal for ImmunoTherapy of Cancer. 9(11). e003213–e003213. 54 indexed citations
6.
Kuiken, Hendrik J., Sabin Dhakal, Laura M. Selfors, et al.. (2021). Clonal populations of a human TNBC model display significant functional heterogeneity and divergent growth dynamics in distinct contexts. Oncogene. 41(1). 112–124. 5 indexed citations
7.
Lane, Jacqueline N., Misha Teplitskiy, G. Kenneth Gray, et al.. (2021). Conservatism Gets Funded? A Field Experiment on the Role of Negative Information in Novel Project Evaluation. Management Science. 68(6). 4478–4495. 21 indexed citations
8.
Li, Carman Man-Chung, Laura M. Selfors, Huidong Chen, et al.. (2020). Aging-Associated Alterations in Mammary Epithelia and Stroma Revealed by Single-Cell RNA Sequencing. Cell Reports. 33(13). 108566–108566. 90 indexed citations
9.
Lane, Jacqueline N., Misha Teplitskiy, G. Kenneth Gray, et al.. (2020). When Do Experts Listen to Other Experts? The Role of Negative Information in Expert Evaluations For Novel Projects. SSRN Electronic Journal. 3 indexed citations
10.
Rosenbluth, Jennifer M., Ron C.J. Schackmann, G. Kenneth Gray, et al.. (2020). Organoid cultures from normal and cancer-prone human breast tissues preserve complex epithelial lineages. Nature Communications. 11(1). 1711–1711. 165 indexed citations
11.
Meares, Gordon P., Rajani Rajbhandari, Magda Gerigk, et al.. (2018). MicroRNA‐31 is required for astrocyte specification. Glia. 66(5). 987–998. 17 indexed citations
12.
Rajbhandari, Rajani, Braden C. McFarland, Ashish Patel, et al.. (2015). Loss of tumor suppressive microRNA-31 enhances TRADD/NF-κB signaling in glioblastoma. Oncotarget. 6(19). 17805–17816. 42 indexed citations
13.
Gray, G. Kenneth, Braden C. McFarland, Amber L. Rowse, Sara A. Gibson, & Etty Benveniste. (2014). Therapeutic CK2 inhibition attenuates diverse prosurvival signaling cascades and decreases cell viability in human breast cancer cells. Oncotarget. 5(15). 6484–6496. 60 indexed citations
14.
Gray, G. Kenneth, Braden C. McFarland, Susan E. Nozell, & Etty Benveniste. (2014). NF-κB and STAT3 in glioblastoma: therapeutic targets coming of age. Expert Review of Neurotherapeutics. 14(11). 1293–1306. 93 indexed citations
15.
McFarland, Braden C., G. Kenneth Gray, Susan E. Nozell, Suk W. Hong, & Etty Benveniste. (2013). Activation of the NF-κB Pathway by the STAT3 Inhibitor JSI-124 in Human Glioblastoma Cells. Molecular Cancer Research. 11(5). 494–505. 56 indexed citations
16.
McFarland, Braden C., Suk W. Hong, Rajani Rajbhandari, et al.. (2013). NF-κB-Induced IL-6 Ensures STAT3 Activation and Tumor Aggressiveness in Glioblastoma. PLoS ONE. 8(11). e78728–e78728. 129 indexed citations
17.
Evans, John S., et al.. (1994). Use of probabilistic expert judgment in uncertainty analysis of carcinogenic potency. Regulatory Toxicology and Pharmacology. 20(1). 15–36. 1 indexed citations
18.
Smithson, Kenneth W., et al.. (1980). Complementary role of surface hydrolysis and intact transport in the intestinal assimilation of di- and tripeptides. Biochimica et Biophysica Acta (BBA) - General Subjects. 629(1). 126–134. 9 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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