Frank Lin

1.3k total citations · 1 hit paper
55 papers, 700 citations indexed

About

Frank Lin is a scholar working on Artificial Intelligence, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Frank Lin has authored 55 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 15 papers in Molecular Biology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Frank Lin's work include Radiomics and Machine Learning in Medical Imaging (8 papers), Topic Modeling (7 papers) and Cancer Genomics and Diagnostics (7 papers). Frank Lin is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Topic Modeling (7 papers) and Cancer Genomics and Diagnostics (7 papers). Frank Lin collaborates with scholars based in Australia, United States and New Zealand. Frank Lin's co-authors include William W. Cohen, Peter J. Stiles, P. J. Blennerhassett, Matthew Doogue, Thomas M. Polasek, John O. Miners, Shinjae Yoo, Il‐Chul Moon, Yiming Yang and Richard J. Epstein and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Frank Lin

49 papers receiving 650 citations

Hit Papers

align trajectories

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.

Topological barrier to Cas12a activation by circular DNA nanostructures facilitates autocatalysis and transforms DNA/RNA sensing

2024 81 citations Maya Kansara, Frank Lin et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Frank Lin Australia	13	212	181	113	89	73	55	700
Martin Crane Ireland	18	152 0.7×	261 1.4×	32 0.3×	120 1.3×	61 0.8×	82	1.1k
Sean B. Holden United Kingdom	13	243 1.1×	352 1.9×	79 0.7×	12 0.1×	17 0.2×	26	1.1k
Renu Jain India	13	223 1.1×	304 1.7×	20 0.2×	42 0.5×	32 0.4×	83	943
Xufei Wang China	13	137 0.6×	135 0.7×	55 0.5×	25 0.3×	96 1.3×	50	555
Ira J. Kalet United States	15	158 0.7×	191 1.1×	111 1.0×	6 0.1×	42 0.6×	60	1.0k
Emanuela Merelli Italy	16	232 1.1×	360 2.0×	51 0.5×	16 0.2×	97 1.3×	105	955
Juntao Tan China	15	353 1.7×	100 0.6×	69 0.6×	11 0.1×	183 2.5×	39	622
Jiajia Chen China	11	190 0.9×	111 0.6×	30 0.3×	14 0.2×	47 0.6×	30	526
Changwang Zhang China	15	373 1.8×	60 0.3×	25 0.2×	56 0.6×	52 0.7×	30	973

Countries citing papers authored by Frank Lin

Since Specialization

Citations

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

Fields of papers citing papers by Frank Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Lin. A scholar is included among the top collaborators of Frank Lin 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 Frank Lin. Frank Lin 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

Marshall, Vikki M., Frank Lin, David M. Thomas, et al.. (2024). Computational repurposing of oncology drugs through off‐target drug binding interactions from pharmacological databases. Clinical and Translational Medicine. 14(4). e1657–e1657. 1 indexed citations

Kang, John, Kyle J. Lafata, Ellen Kim, et al.. (2024). Artificial intelligence across oncology specialties: current applications and emerging tools. SHILAP Revista de lepidopterología. 3(1). e000134–e000134. 6 indexed citations

Nakajima, Erica C., Amber L. Simpson, Jan Bogaerts, et al.. (2024). Tumor Size Is Not Everything: Advancing Radiomics as a Precision Medicine Biomarker in Oncology Drug Development and Clinical Care. A Report of a Multidisciplinary Workshop Coordinated by the RECIST Working Group. JCO Precision Oncology. 8(8). e2300687–e2300687. 3 indexed citations

Tan, Eugene, et al.. (2023). Development and validation of a deep learning model for improving detection of nonmelanoma skin cancers treated with Mohs micrographic surgery. JAAD International. 14. 39–47. 10 indexed citations

Lin, Frank, Subotheni Thavaneswaran, John P. Grady, et al.. (2021). Criteria-based curation of a therapy-focused compendium to support treatment recommendations in precision oncology. npj Precision Oncology. 5(1). 58–58. 6 indexed citations

Mazaitis, Kathryn, et al.. (2018). A Tale of Two Entity Linking and Discovery Systems. Figshare.

Lin, Frank & William W. Cohen. (2018). Power Iteration Clustering. Figshare. 655–662. 44 indexed citations

Balasubramanyan, Ramnath, Frank Lin, & William W. Cohen. (2018). Node Clustering in Graphs: An Empirical Study. Figshare. 1 indexed citations

Tan, Eugene, et al.. (2016). A practical decision‐tree model to predict complexity of reconstructive surgery after periocular basal cell carcinoma excision. Journal of the European Academy of Dermatology and Venereology. 31(4). 717–723. 29 indexed citations

10.

Tan, Eugene, et al.. (2014). Growth of periocular basal cell carcinomas. British Journal of Dermatology. 172(4). 1002–1007. 13 indexed citations

11.

Tsafnat, Guy, et al.. (2014). Gene–disease association with literature based enrichment. Journal of Biomedical Informatics. 49. 221–226. 4 indexed citations

12.

Lin, Frank, Stephen M. Anthony, Thomas M. Polasek, Guy Tsafnat, & Matthew Doogue. (2011). BICEPP: an example-based statistical text mining method for predicting the binary characteristics of drugs. BMC Bioinformatics. 12(1). 112–112. 4 indexed citations

13.

Lin, Frank & William W. Cohen. (2010). Semi-Supervised Classification of Network Data Using Very Few Labels. 192–199. 70 indexed citations

14.

Lin, Frank, et al.. (2010). Digital Media Dependency, Relational Orientation and Social Networking among College Students. Communications of the IIMA. 10(3). 6. 8 indexed citations

15.

Lin, Frank, Vitali Sintchenko, Fanrong Kong, Gwendolyn L. Gilbert, & Enrico Coiera. (2009). Commonly used molecular epidemiology markers of Streptococcus agalactiae do not appear to predict virulence. Pathology. 41(6). 576–581. 4 indexed citations

16.

Mitamura, Teruko, et al.. (2007). JAVELIN III: Cross-Lingual Question Answering from Japanese and Chinese Documents. NTCIR. 10 indexed citations

17.

Wang, Mengqiu, et al.. (2006). Modular Approach to Error Analysis and Evaluation for Multilingual Question Answering. Language Resources and Evaluation. 1143–1146. 2 indexed citations

18.

Nyberg, Eric, et al.. (2005). JAVELIN I and II Systems at TREC 2005. Text REtrieval Conference. 20 indexed citations

19.

Lin, Frank, et al.. (2005). CMU JAVELIN System for NTCIR5 CLQA1. NTCIR. 9 indexed citations

20.

Blennerhassett, P. J., Frank Lin, & Peter J. Stiles. (1991). Heat transfer through strongly magnetized ferrofluids. Proceedings of the Royal Society of London Series A Mathematical and Physical Sciences. 433(1887). 165–177. 55 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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