Stanley Gill

4.5k total citations
10 papers, 269 citations indexed

About

Stanley Gill is a scholar working on Molecular Biology, Genetics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Stanley Gill has authored 10 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Genetics and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Stanley Gill's work include CRISPR and Genetic Engineering (2 papers), Embedded Systems Design Techniques (1 paper) and RNA modifications and cancer (1 paper). Stanley Gill is often cited by papers focused on CRISPR and Genetic Engineering (2 papers), Embedded Systems Design Techniques (1 paper) and RNA modifications and cancer (1 paper). Stanley Gill collaborates with scholars based in United States and United Kingdom. Stanley Gill's co-authors include D. J. Wheeler, M. V. Wilkes, Francisca Vázquez, William C. Hahn, William F. Harrington, F. J. Corbató, Aviad Tsherniak, Maria Kost‐Alimova, Xiaoxing Wang and David E. Root and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Stanley Gill

9 papers receiving 245 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stanley Gill United States 6 132 62 36 34 28 10 269
John C. Martin Spain 5 94 0.7× 26 0.4× 67 1.9× 118 3.5× 2 0.1× 10 368
Steve McKeever United Kingdom 9 174 1.3× 25 0.4× 28 0.8× 39 1.1× 24 0.9× 51 341
David Dao United States 5 52 0.4× 48 0.8× 8 0.2× 128 3.8× 5 0.2× 7 267
Haiyang Jia China 9 101 0.8× 10 0.2× 6 0.2× 53 1.6× 42 1.5× 24 268
Simone Leo Italy 10 271 2.1× 120 1.9× 6 0.2× 96 2.8× 25 0.9× 23 517
Tian Bai China 9 99 0.8× 13 0.2× 11 0.3× 97 2.9× 26 0.9× 47 277
Ghada Badr Canada 7 287 2.2× 8 0.1× 20 0.6× 251 7.4× 12 0.4× 19 458
Alida Palmisano United States 9 268 2.0× 12 0.2× 25 0.7× 24 0.7× 39 1.4× 32 371
Tai-Yun Kim Australia 11 237 1.8× 27 0.4× 9 0.3× 40 1.2× 40 1.4× 29 369

Countries citing papers authored by Stanley Gill

Since Specialization
Citations

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

Fields of papers citing papers by Stanley Gill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stanley Gill. 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 Stanley Gill. The network helps show where Stanley Gill may publish in the future.

Co-authorship network of co-authors of Stanley Gill

This figure shows the co-authorship network connecting the top 25 collaborators of Stanley Gill. A scholar is included among the top collaborators of Stanley Gill 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 Stanley Gill. Stanley Gill 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
1.
Nagy, M. Aurel, Stanley Gill, Bin Liu, et al.. (2024). Cis-regulatory elements driving motor neuron-selective viral payload expression within the mammalian spinal cord. Proceedings of the National Academy of Sciences. 121(49). e2418024121–e2418024121.
2.
Way, Gregory P., Maria Kost‐Alimova, Tsukasa Shibue, et al.. (2021). Predicting cell health phenotypes using image-based morphology profiling. Molecular Biology of the Cell. 32(9). 995–1005. 77 indexed citations
3.
Price, Colles, Stanley Gill, Zandra V. Ho, et al.. (2019). Genome-Wide Interrogation of Human Cancers Identifies EGLN1 Dependency in Clear Cell Ovarian Cancers. Cancer Research. 79(10). 2564–2579. 28 indexed citations
4.
Rosenbluh, Joseph, Han Xu, William F. Harrington, et al.. (2017). Complementary information derived from CRISPR Cas9 mediated gene deletion and suppression. Nature Communications. 8(1). 15403–15403. 75 indexed citations
5.
Sargent, Daniel J., T. C. Smyrk, Anthony F. Shields, et al.. (2010). ステージIII結腸癌を切除したKRAS野生型(WT)患者(pts)におけるセツキシマブ(Cmab)の有無にかかわらずmFOLFOX6アジュバント治療:NCCTG群間第3相試験NO147の結果. Journal of Clinical Oncology. 28. 959. 1 indexed citations
6.
Wilkes, M. V., D. J. Wheeler, & Stanley Gill. (1982). The preparation of programs for an electronic digital computer : with special reference to the EDSAC and the use of a library of subroutines. Medical Entomology and Zoology. 17 indexed citations
7.
Gill, Stanley. (1967). WHAT COMPUTERS WILL DO. Aslib Proceedings. 19(11). 358–363. 1 indexed citations
8.
Wilkes, M. V., D. J. Wheeler, Stanley Gill, & F. J. Corbató. (1958). The Preparation of Programs for an Electronic Digital Computer. Physics Today. 11(8). 28–28. 50 indexed citations
9.
Wilkes, M. V., et al.. (1958). Preparation of Programs for an Electronic Digital Computer. Mathematical Tables and Other Aids to Computation. 12(64). 314–314. 2 indexed citations
10.
Hamblen, John W., M. V. Wilkes, D. J. Wheeler, & Stanley Gill. (1958). The Preparation of Programs for an Electronic Digital Computer.. American Mathematical Monthly. 65(9). 719–719. 18 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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