Jeffrey E. Green

9.6k total citations · 2 hit papers
103 papers, 6.4k citations indexed

About

Jeffrey E. Green is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jeffrey E. Green has authored 103 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 49 papers in Oncology and 23 papers in Cancer Research. Recurrent topics in Jeffrey E. Green's work include Cancer Cells and Metastasis (28 papers), Cancer-related Molecular Pathways (12 papers) and Cancer Research and Treatments (8 papers). Jeffrey E. Green is often cited by papers focused on Cancer Cells and Metastasis (28 papers), Cancer-related Molecular Pathways (12 papers) and Cancer Research and Treatments (8 papers). Jeffrey E. Green collaborates with scholars based in United States, South Korea and Spain. Jeffrey E. Green's co-authors include Dalit Barkan, Ann F. Chambers, Kent W. Hunter, András Lánczky, Rita A. Busuttil, András Szász, Ádám Nagy, Alex Boussioutas, Susann Förster and András Szabó and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Jeffrey E. Green

103 papers receiving 6.3k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cross-validation of survival associated biomarkers in gastric cancer using transcriptomic data of 1,065 patients

2016 768 citations Jeffrey E. Green et al. profile →
Autophagy promotes the survival of dormant breast cancer cells and metastatic tumour recurrence

2018 336 citations Kent W. Hunter, Jeffrey E. Green et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jeffrey E. Green	3.7k	2.7k	1.8k	752	679	103	6.4k
Ana I. Robles	5.3k 1.4×	2.4k 0.9×	2.6k 1.4×	692 0.9×	692 1.0×	93	7.5k
Raymond E. Meyn	4.5k 1.2×	2.5k 0.9×	1.6k 0.9×	874 1.2×	629 0.9×	135	7.0k
Giuseppe Palmieri	3.0k 0.8×	3.1k 1.1×	1.2k 0.7×	758 1.0×	1.0k 1.5×	259	6.2k
Niramol Savaraj	3.2k 0.9×	2.4k 0.9×	1.7k 1.0×	741 1.0×	459 0.7×	211	6.9k
Wolfgang Mikulits	4.1k 1.1×	2.4k 0.9×	1.6k 0.9×	646 0.9×	822 1.2×	116	6.9k
Damu Tang	3.8k 1.0×	1.5k 0.6×	1.3k 0.7×	706 0.9×	766 1.1×	132	6.0k
Gerhard Fritz	3.9k 1.0×	1.8k 0.7×	1.3k 0.7×	406 0.5×	735 1.1×	136	6.7k
Ranju Ralhan	3.9k 1.0×	2.1k 0.8×	1.3k 0.7×	518 0.7×	465 0.7×	155	6.1k
Richard B. Lock	5.1k 1.4×	2.8k 1.1×	1.2k 0.7×	952 1.3×	1.0k 1.5×	260	8.7k
Massimo Broggini	4.8k 1.3×	3.1k 1.2×	1.4k 0.8×	1.1k 1.5×	372 0.5×	236	7.6k

Countries citing papers authored by Jeffrey E. Green

Since Specialization

Citations

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

Fields of papers citing papers by Jeffrey E. Green

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey E. Green. 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 Jeffrey E. Green. The network helps show where Jeffrey E. Green may publish in the future.

Co-authorship network of co-authors of Jeffrey E. Green

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

All Works

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20 of 20 papers shown

Xiong, Donghai, Katie Palen, Bryon D. Johnson, et al.. (2023). Striking efficacy of a vaccine targeting TOP2A for triple-negative breast cancer immunoprevention. npj Precision Oncology. 7(1). 108–108. 11 indexed citations

Park, Jun Won, et al.. (2014). Cooperativity of E-cadherin and Smad4 Loss to Promote Diffuse-Type Gastric Adenocarcinoma and Metastasis. Molecular Cancer Research. 12(8). 1088–1099. 43 indexed citations

Kang, Han Sung, Sang‐Geun Jang, Sun Young Kwon, et al.. (2014). MicroRNA signature for HER2-positive breast and gastric cancer.. PubMed. 34(7). 3807–10. 16 indexed citations

Park, Jun Won, Beom K. Choi, Byoung S. Kwon, et al.. (2014). Establishment and characterization of metastatic gastric cancer cell lines from murine gastric adenocarcinoma lacking Smad4, p53, and E‐cadherin. Molecular Carcinogenesis. 54(11). 1521–1527. 20 indexed citations

Bennett, Christina N., Christine C. Tomlinson, Aleksandra M. Michalowski, et al.. (2012). Cross-species genomic and functional analyses identify a combination therapy using a CHK1 inhibitor and a ribonucleotide reductase inhibitor to treat triple-negative breast cancer. Breast Cancer Research. 14(4). R109–R109. 26 indexed citations

Switzer, Christopher, Sharon A. Glynn, Robert Y.S. Cheng, et al.. (2012). S-Nitrosylation of EGFR and Src Activates an Oncogenic Signaling Network in Human Basal-Like Breast Cancer. Molecular Cancer Research. 10(9). 1203–1215. 111 indexed citations

Paolicchi, Elisa, Francesco Crea, William L. Farrar, Jeffrey E. Green, & Romano Danesi. (2012). Histone lysine demethylases in breast cancer. Critical Reviews in Oncology/Hematology. 86(2). 97–103. 48 indexed citations

Barkan, Dalit, Lara H. El Touny, Aleksandra M. Michalowski, et al.. (2010). Metastatic Growth from Dormant Cells Induced by a Col-I–Enriched Fibrotic Environment. Cancer Research. 70(14). 5706–5716. 308 indexed citations

Zhang, Mei, Fariba Behbod, Rachel L. Atkinson, et al.. (2008). Identification of Tumor-Initiating Cells in a p53-Null Mouse Model of Breast Cancer. Cancer Research. 68(12). 4674–4682. 260 indexed citations

10.

Joshi, Bharat, Pamela Leland, Alfonso Calvo, Jeffrey E. Green, & Raj K. Puri. (2008). Human Adrenomedullin Up-regulates Interleukin-13 Receptor α2 Chain in Prostate Cancer In vitro and In vivo : A Novel Approach to Sensitize Prostate Cancer to Anticancer Therapy. Cancer Research. 68(22). 9311–9317. 16 indexed citations

11.

Barkan, Dalit, Hynda K. Kleinman, Justin L. Simmons, et al.. (2008). Inhibition of Metastatic Outgrowth from Single Dormant Tumor Cells by Targeting the Cytoskeleton. Cancer Research. 68(15). 6241–6250. 325 indexed citations

12.

Datta, Sonal, Mark J. Hoenerhoff, Prashant Bommi, et al.. (2007). Bmi-1 Cooperates with H-Ras to Transform Human Mammary Epithelial Cells via Dysregulation of Multiple Growth-Regulatory Pathways. Cancer Research. 67(21). 10286–10295. 81 indexed citations

13.

Deeb, Kristin K., Aleksandra M. Michalowska, Scott M. Krummey, et al.. (2007). Identification of an Integrated SV40 T/t-Antigen Cancer Signature in Aggressive Human Breast, Prostate, and Lung Carcinomas with Poor Prognosis. Cancer Research. 67(17). 8065–8080. 82 indexed citations

14.

Hudson, Tamaro, Diane K. Hartle, Stephen D. Hursting, et al.. (2007). Inhibition of Prostate Cancer Growth by Muscadine Grape Skin Extract and Resveratrol through Distinct Mechanisms. Cancer Research. 67(17). 8396–8405. 116 indexed citations

15.

Calvo, Alfonso, et al.. (2005). Prostate cancer and the genomic revolution: Advances using microarray analyses. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 576(1-2). 66–79. 15 indexed citations

16.

Qiu, Ting, et al.. (2004). Global Expression Profiling Identifies Signatures of Tumor Virulence in MMTV-PyMT-Transgenic Mice. Cancer Research. 64(17). 5973–5981. 89 indexed citations

17.

Wigginton, Jon M., Jong‐Wook Park, Howard A. Young, et al.. (2001). Complete Regression of Established Spontaneous Mammary Carcinoma and the Therapeutic Prevention of Genetically Programmed Neoplastic Transition by IL-12/Pulse IL-2: Induction of Local T Cell Infiltration, Fas/Fas Ligand Gene Expression, and Mammary Epithelial Apoptosis,. The Journal of Immunology. 166(2). 1156–1168. 42 indexed citations

18.

Μαρουλάκου, Ιωάννα, Masaaki Shibata, Miriam R. Anver, et al.. (1999). Heterotopic endochondrial ossification with mixed tumor formation in C3(1)/Tag transgenic mice is associated with elevated TGF-beta1 and BMP-2 expression. Oncogene. 18(39). 5435–5447. 11 indexed citations

19.

Liu, Minling, Friederike C. von Lintig, Marek Liyanage, et al.. (1998). Amplification of Ki-ras and elevation of MAP kinase activity during mammary tumor progression in C3(1)/SV40 Tag transgenic mice. Oncogene. 17(18). 2403–2411. 37 indexed citations

20.

Shibata, Masaaki, et al.. (1996). p53-independent apoptosis during mammary tumor progression in C3(1)/SV40 large T antigen transgenic mice: suppression of apoptosis during the transition from preneoplasia to carcinoma.. PubMed. 56(13). 2998–3003. 51 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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