Alison Betts

46 total papers · 2.1k total citations
31 papers, 1.4k citations indexed

About

Alison Betts is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Molecular Biology. According to data from OpenAlex, Alison Betts has authored 31 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Oncology and 15 papers in Molecular Biology. Recurrent topics in Alison Betts's work include Monoclonal and Polyclonal Antibodies Research (22 papers), HER2/EGFR in Cancer Research (13 papers) and CAR-T cell therapy research (6 papers). Alison Betts is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (22 papers), HER2/EGFR in Cancer Research (13 papers) and CAR-T cell therapy research (6 papers). Alison Betts collaborates with scholars based in United States, United Kingdom and Netherlands. Alison Betts's co-authors include Dhaval K. Shah, Nahor Haddish‐Berhane, Piet H. van der Graaf, K. Dane Wittrup, Katie F. Maass, Tracey Clark, Lindsay B. Avery, Puja Sapra, Hannah M. Jones and Lindsay E. King and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Pharmaceutical Sciences and Clinical Pharmacology & Therapeutics.

In The Last Decade

Alison Betts

31 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Alison Betts 764 591 573 292 111 31 1.4k
Lois M. Hinman 644 0.8× 672 1.1× 547 1.0× 182 0.6× 76 0.7× 30 1.6k
Yulia Vugmeyster 538 0.7× 541 0.9× 419 0.7× 763 2.6× 45 0.4× 57 1.6k
Andrea Kießling 283 0.4× 591 1.0× 436 0.8× 659 2.3× 58 0.5× 39 1.4k
Donald B. Axworthy 1.1k 1.5× 367 0.6× 378 0.7× 124 0.4× 49 0.4× 28 1.6k
Eugenia Kraynov 261 0.3× 854 1.4× 653 1.1× 227 0.8× 32 0.3× 25 1.4k
Haleh Saber 235 0.3× 622 1.1× 598 1.0× 210 0.7× 80 0.7× 20 1.6k
Ben‐Quan Shen 747 1.0× 791 1.3× 923 1.6× 289 1.0× 86 0.8× 35 1.8k
Uma Yasothan 162 0.2× 605 1.0× 430 0.8× 286 1.0× 47 0.4× 30 1.4k
Kris F. Sachsenmeier 265 0.3× 661 1.1× 738 1.3× 563 1.9× 154 1.4× 46 1.7k
John F. DiJoseph 458 0.6× 455 0.8× 738 1.3× 154 0.5× 49 0.4× 45 1.5k

Countries citing papers authored by Alison Betts

Since Specialization
Citations

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

Fields of papers citing papers by Alison Betts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alison Betts

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

All Works

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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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