B E Windle

1.8k total citations
25 papers, 1.5k citations indexed

About

B E Windle is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, B E Windle has authored 25 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Genetics. Recurrent topics in B E Windle's work include DNA Repair Mechanisms (6 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Cancer-related Molecular Pathways (4 papers). B E Windle is often cited by papers focused on DNA Repair Mechanisms (6 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Cancer-related Molecular Pathways (4 papers). B E Windle collaborates with scholars based in United States, France and Hong Kong. B E Windle's co-authors include Geoffrey M. Wahl, Irma Parra, Daniel D. Von Hoff, S O'Gorman, Elżbieta Izbicka, Éric Raymond, Yue-Qi Yin, Bruce W. Draper, D. Sun and Patrick J. Murphy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

In The Last Decade

B E Windle

25 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B E Windle United States 16 1.2k 284 264 196 173 25 1.5k
Philippe Jeanteur France 25 2.3k 2.0× 234 0.8× 297 1.1× 163 0.8× 118 0.7× 70 2.8k
Rinku Jain United States 23 1.3k 1.1× 172 0.6× 219 0.8× 156 0.8× 75 0.4× 40 1.7k
Mitsuru Okuwaki Japan 27 2.3k 2.0× 252 0.9× 509 1.9× 143 0.7× 181 1.0× 52 2.8k
George L. Eliceiri United States 21 1.6k 1.4× 170 0.6× 206 0.8× 224 1.1× 98 0.6× 66 1.9k
Junzhuan Qiu United States 20 1.5k 1.3× 178 0.6× 203 0.8× 173 0.9× 121 0.7× 23 1.6k
Guang‐Jer Wu United States 23 865 0.8× 262 0.9× 206 0.8× 128 0.7× 78 0.5× 48 1.3k
Andrea Scrima Germany 17 1.4k 1.2× 208 0.7× 224 0.8× 76 0.4× 154 0.9× 31 1.8k
Juhani E. Syväoja Finland 23 1.7k 1.5× 421 1.5× 274 1.0× 334 1.7× 121 0.7× 46 1.9k
Kinichiro Oda Japan 21 898 0.8× 381 1.3× 345 1.3× 83 0.4× 73 0.4× 42 1.4k
Nikita Avvakumov Canada 17 1.9k 1.7× 303 1.1× 369 1.4× 185 0.9× 139 0.8× 25 2.3k

Countries citing papers authored by B E Windle

Since Specialization
Citations

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

Fields of papers citing papers by B E Windle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B E Windle

This figure shows the co-authorship network connecting the top 25 collaborators of B E Windle. A scholar is included among the top collaborators of B E Windle 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 B E Windle. B E Windle 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.
Ding, Boxiao, Bin Hu, Jennifer E. Koblinski, et al.. (2023). Abstract 3950: Sensitizing oncogenic mutant p53-expressing non-small cell lung cancer to proteasome inhibitors. Cancer Research. 83(7_Supplement). 3950–3950. 2 indexed citations
2.
Sannigrahi, Malay K., Pavithra Rajagopalan, Ling‐Ping Lai, et al.. (2022). HPV E6 regulates therapy responses in oropharyngeal cancer by repressing the PGC-1α/ERRα axis. JCI Insight. 7(18). 9 indexed citations
3.
Facompre, Nicole D., Pavithra Rajagopalan, Varun Sahu, et al.. (2020). Identifying predictors of HPV ‐related head and neck squamous cell carcinoma progression and survival through patient‐derived models. International Journal of Cancer. 147(11). 3236–3249. 35 indexed citations
4.
5.
Vaughan, Catherine A., et al.. (2012). Gain-of-Function Activity of Mutant p53 in Lung Cancer through Up-Regulation of Receptor Protein Tyrosine Kinase Axl. Genes & Cancer. 3(7-8). 491–502. 55 indexed citations
6.
Vaughan, Catherine A., Lathika Mohanraj, Sandeep K. Singh, et al.. (2011). Human Oncoprotein MDM2 Up-regulates Expression of NF- B2 Precursor p100 Conferring a Survival Advantage to Lung Cells. Genes & Cancer. 2(10). 943–955. 13 indexed citations
7.
Scian, Mariano J., Evie H. Carchman, Lathika Mohanraj, et al.. (2007). Wild-type p53 and p73 negatively regulate expression of proliferation related genes. Oncogene. 27(18). 2583–2593. 62 indexed citations
8.
Heng, Henry H., B E Windle, & Lap‐Chee Tsui. (2005). High‐Resolution FISH Analysis. Current Protocols in Human Genetics. 44(1). Unit 4.5–Unit 4.5. 2 indexed citations
9.
Raymond, Éric, D. Sun, Elżbieta Izbicka, et al.. (1999). A human breast cancer model for the study of telomerase inhibitors based on a new biotinylated-primer extension assay. British Journal of Cancer. 80(9). 1332–1341. 19 indexed citations
10.
Izbicka, Elżbieta, Richard T. Wheelhouse, Éric Raymond, et al.. (1999). Effects of cationic porphyrins as G-quadruplex interactive agents in human tumor cells.. PubMed. 59(3). 639–44. 332 indexed citations
11.
Maine, Ira P., Shih-Fong Chen, & B E Windle. (1999). Effect of dGTP Concentration on Human and CHO Telomerase. Biochemistry. 38(46). 15325–15332. 34 indexed citations
12.
Sharma, Sunil, Éric Raymond, Hiroshi Soda, et al.. (1997). Preclinical and clinical strategies for development of telomerase and telomere inhibitors. Annals of Oncology. 8(11). 1063–1074. 50 indexed citations
13.
Windle, B E, et al.. (1995). High resolution microscopic mapping of DNA using multicolor fluorescent hybridization. Electrophoresis. 16(1). 273–278. 7 indexed citations
14.
Parra, Irma & B E Windle. (1993). High resolution visual mapping of stretched DNA by fluorescent hybridization. Nature Genetics. 5(1). 17–21. 233 indexed citations
15.
Windle, B E & Geoffrey M. Wahl. (1992). Molecular dissection of mammalian gene amplification: New mechanistic insights revealed by analyses of very early events. Mutation Research/Reviews in Genetic Toxicology. 276(3). 199–224. 121 indexed citations
16.
Windle, B E, Bruce W. Draper, Yue-Qi Yin, S O'Gorman, & Geoffrey M. Wahl. (1991). A central role for chromosome breakage in gene amplification, deletion formation, and amplicon integration.. Genes & Development. 5(2). 160–174. 219 indexed citations
17.
Laufer, Christina, J B Hays, B E Windle, et al.. (1989). Enhancement of Escherichia coli plasmid and chromosomal recombination by the Ref function of bacteriophage P1.. Genetics. 123(3). 465–476. 14 indexed citations
18.
Murphy, Patrick J., Thomas A. Cebula, & B E Windle. (1981). Heterogeneity of rabbit endogenous pyrogens is not attributable to glycosylated variants of a single polypeptide chain. Infection and Immunity. 34(1). 184–191. 8 indexed citations
19.
Murphy, Patrick J., Thomas A. Cebula, Jeremy I. Levin, & B E Windle. (1981). Rabbit macrophages secrete two biochemically and immunologically distinct endogenous pyrogens. Infection and Immunity. 34(1). 177–183. 23 indexed citations
20.
Murphy, Patrick J., et al.. (1980). Failure of rabbit neutrophils to secrete endogenous pyrogen when stimulated with staphylococci.. The Journal of Experimental Medicine. 151(6). 1360–1371. 70 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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