Alison M. Bates

628 total citations · 1 hit paper
9 papers, 439 citations indexed

About

Alison M. Bates is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Alison M. Bates has authored 9 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Physiology. Recurrent topics in Alison M. Bates's work include RNA modifications and cancer (2 papers), Circular RNAs in diseases (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). Alison M. Bates is often cited by papers focused on RNA modifications and cancer (2 papers), Circular RNAs in diseases (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). Alison M. Bates collaborates with scholars based in United States. Alison M. Bates's co-authors include Nilesh B. Karalkar, Andrew D. Ellington, Adam J. Meyer, Shuichi Hoshika, Hyo‐Joong Kim, Saurja DasGupta, Myong‐Sang Kim, Steven A. Benner, Millie M. Georgiadis and Nicole A. Leal and has published in prestigious journals such as Science, Journal of Biological Chemistry and Scientific Reports.

In The Last Decade

Alison M. Bates

9 papers receiving 429 citations

Hit Papers

Hachimoji DNA and RNA: A genetic system with eight buildi... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alison M. Bates United States 5 367 36 35 30 30 9 439
Nina G. Dolinnaya Russia 18 939 2.6× 79 2.2× 29 0.8× 37 1.2× 37 1.2× 70 993
Chu H. Choi United States 8 388 1.1× 22 0.6× 58 1.7× 6 0.2× 25 0.8× 11 470
Peter E. Nielsen Denmark 8 665 1.8× 51 1.4× 31 0.9× 87 2.9× 43 1.4× 8 763
Guy Schepers Belgium 16 531 1.4× 111 3.1× 17 0.5× 13 0.4× 26 0.9× 46 579
Susan M. Lato United States 9 309 0.8× 24 0.7× 42 1.2× 4 0.1× 28 0.9× 9 420
Taras Sych Sweden 10 212 0.6× 21 0.6× 47 1.3× 4 0.1× 12 0.4× 22 285
Paulo L. Onuchic United States 6 692 1.9× 10 0.3× 31 0.9× 6 0.2× 25 0.8× 7 749
Shenglong Zhang United States 12 400 1.1× 39 1.1× 36 1.0× 63 2.1× 40 1.3× 28 475
Brooke A. Anderson United States 14 524 1.4× 61 1.7× 22 0.6× 13 0.4× 23 0.8× 25 560
Petra Burgstaller Germany 15 883 2.4× 27 0.8× 90 2.6× 32 1.1× 67 2.2× 18 925

Countries citing papers authored by Alison M. Bates

Since Specialization
Citations

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

Fields of papers citing papers by Alison M. Bates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alison M. Bates. 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 Alison M. Bates. The network helps show where Alison M. Bates may publish in the future.

Co-authorship network of co-authors of Alison M. Bates

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

All Works

9 of 9 papers shown
1.
Chen, Qiujia, Alison M. Bates, Edward Simpson, et al.. (2022). Structural and genome-wide analyses suggest that transposon-derived protein SETMAR alters transcription and splicing. Journal of Biological Chemistry. 298(5). 101894–101894. 4 indexed citations
2.
Hoshika, Shuichi, Nicole A. Leal, Myong‐Jung Kim, et al.. (2019). Hachimoji DNA and RNA: A genetic system with eight building blocks. Science. 363(6429). 884–887. 330 indexed citations breakdown →
3.
Dey, Shatovisha, Sarah C. Nabinger, Guanglong Jiang, et al.. (2019). The Role and Therapeutic Potential of miRNAs in Colorectal Liver Metastasis. PMC. 1 indexed citations
4.
Dey, Shatovisha, Sarah C. Nabinger, Guanglong Jiang, et al.. (2019). The Role and Therapeutic Potential of miRNAs in Colorectal Liver Metastasis. Scientific Reports. 9(1). 15803–15803. 17 indexed citations
5.
Huda, Nazmul, et al.. (2019). Onset of Telomere Dysfunction and Fusions in Human Ovarian Carcinoma. Cells. 8(5). 414–414. 4 indexed citations
6.
Huda, Nazmul, Brenda R. Grimes, Roger B. Slee, et al.. (2015). Widespread telomere instability in prostatic lesions. Molecular Carcinogenesis. 55(5). 842–852. 15 indexed citations
7.
Yang, Xiang‐Lei, Mili Kapoor, Francella J. Otero, et al.. (2007). Gain-of-Function Mutational Activation of Human tRNA Synthetase Procytokine. Chemistry & Biology. 14(12). 1323–1333. 31 indexed citations
8.
Kapoor, Mili, Quansheng Zhou, Francella J. Otero, et al.. (2007). Evidence for Annexin II-S100A10 Complex and Plasmin in Mobilization of Cytokine Activity of Human TrpRS. Journal of Biological Chemistry. 283(4). 2070–2077. 36 indexed citations
9.
Bates, Alison M., et al.. (1995). 15. Positive cavity biopsy does not predict early local relapse for patients treated by local excision for early breast cancer. The Breast. 4(3). 231–231. 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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