Chiao‐Feng Lin

17.9k total citations
19 papers, 524 citations indexed

About

Chiao‐Feng Lin is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Chiao‐Feng Lin has authored 19 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Genetics and 5 papers in Cancer Research. Recurrent topics in Chiao‐Feng Lin's work include Genomics and Rare Diseases (7 papers), RNA and protein synthesis mechanisms (7 papers) and RNA Research and Splicing (6 papers). Chiao‐Feng Lin is often cited by papers focused on Genomics and Rare Diseases (7 papers), RNA and protein synthesis mechanisms (7 papers) and RNA Research and Splicing (6 papers). Chiao‐Feng Lin collaborates with scholars based in United States, Germany and Canada. Chiao‐Feng Lin's co-authors include Wojciech Makałowski, Izabela Makałowska, Stephen M. Mount, Artur Jarmołowski, Matthew S. Lebo, Robin Sherrington, Johanna M. Rommens, K. Holman, Е. И. Рогаев and Peter St George‐Hyslop and has published in prestigious journals such as Bioinformatics, The Plant Cell and Genetics.

In The Last Decade

Chiao‐Feng Lin

19 papers receiving 507 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chiao‐Feng Lin United States	11	371	127	88	66	54	19	524
Nichole Diaz United States	8	577 1.6×	67 0.5×	184 2.1×	89 1.3×	36 0.7×	12	782
Guillermo E. Parada United States	12	489 1.3×	38 0.3×	70 0.8×	50 0.8×	80 1.5×	17	628
Rafah Mackeh Qatar	7	319 0.9×	63 0.5×	44 0.5×	47 0.7×	19 0.4×	10	543
Huida Wan China	8	395 1.1×	107 0.8×	40 0.5×	86 1.3×	61 1.1×	8	572
Artem Zykovich United States	9	560 1.5×	96 0.8×	133 1.5×	76 1.2×	25 0.5×	11	751
Alexander Samoshkin United States	12	360 1.0×	65 0.5×	72 0.8×	104 1.6×	24 0.4×	20	465
Michael Snaith Sweden	15	489 1.3×	171 1.3×	59 0.7×	96 1.5×	17 0.3×	17	679
Haixia Gao China	12	279 0.8×	59 0.5×	54 0.6×	35 0.5×	64 1.2×	35	407
Marija Mihailovich Italy	13	366 1.0×	36 0.3×	67 0.8×	28 0.4×	132 2.4×	18	486
Adam B. Francisco United States	13	290 0.8×	84 0.7×	93 1.1×	15 0.2×	58 1.1×	16	649

Countries citing papers authored by Chiao‐Feng Lin

Since Specialization

Citations

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

Fields of papers citing papers by Chiao‐Feng Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiao‐Feng Lin

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

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Lin, Chiao‐Feng, et al.. (2025). External Validation of a 5-Factor Risk Model for Breast Cancer–Related Lymphedema. JAMA Network Open. 8(1). e2455383–e2455383. 1 indexed citations

Abbas‐Aghababazadeh, Farnoosh, Jie Su, Chiao‐Feng Lin, et al.. (2025). Development of Machine Learning Models for Predicting Radiation Dermatitis in Breast Cancer Patients Using Clinical Risk Factors, Patient-Reported Outcomes, and Serum Cytokine Biomarkers. Clinical Breast Cancer. 25(5). e622–e634.e6. 3 indexed citations

Klanderman, Barbara J., Christopher Koch, Kalotina Machini, et al.. (2022). Automated Pharmacogenomic Reports for Clinical Genome Sequencing. Journal of Molecular Diagnostics. 24(3). 205–218. 8 indexed citations

Lebo, Matthew S., Limin Hao, Chiao‐Feng Lin, & Arti Singh. (2020). Bioinformatics in Clinical Genomic Sequencing. Clinics in Laboratory Medicine. 40(2). 163–187. 6 indexed citations

Lincoln, Stephen E., Rebecca Truty, Chiao‐Feng Lin, et al.. (2019). A Rigorous Interlaboratory Examination of the Need to Confirm Next-Generation Sequencing–Detected Variants with an Orthogonal Method in Clinical Genetic Testing. Journal of Molecular Diagnostics. 21(2). 318–329. 49 indexed citations

Lebo, Matthew S., Limin Hao, Chiao‐Feng Lin, & Arti Singh. (2018). Bioinformatics in Clinical Genomic Sequencing. 1(1). 9–26. 1 indexed citations

Tsai, Ellen, Jason T. Evans, Chet Graham, et al.. (2016). Bioinformatics Workflow for Clinical Whole Genome Sequencing at Partners HealthCare Personalized Medicine. Journal of Personalized Medicine. 6(1). 12–12. 12 indexed citations

Hwang, Yih-Chii, Chiao‐Feng Lin, Otto Valladares, et al.. (2014). HIPPIE: a high-throughput identification pipeline for promoter interacting enhancer elements. Bioinformatics. 31(8). 1290–1292. 40 indexed citations

Wang, Li‐San, Otto Valladares, Amanda Partch, et al.. (2014). P3‐020: NIA GENETICS OF ALZHEIMER'S DISEASE DATA STORAGE SITE (NIAGADS): 2014 UPDATE. Alzheimer s & Dementia. 10(4S_Part_17). 5 indexed citations

10.

Lin, Chiao‐Feng, Otto Valladares, Evan Geller, et al.. (2013). DRAW+SneakPeek: Analysis workflow and quality metric management for DNA-seq experiments. Bioinformatics. 29(19). 2498–2500. 1 indexed citations

11.

Lin, Chiao‐Feng, Adam C. Naj, & Weixin Wang. (2013). Analyzing Copy Number Variation Using SNP Array Data: Protocols for Calling CNV and Association Tests. Current Protocols in Human Genetics. 79(1). 1.27.1–1.27.15. 21 indexed citations

12.

Janice, Jessin, et al.. (2012). U12-type Spliceosomal Introns of Insecta. International Journal of Biological Sciences. 8(3). 344–352. 6 indexed citations

13.

Lin, Chiao‐Feng, Stephen M. Mount, Artur Jarmołowski, & Wojciech Makałowski. (2010). Evolutionary dynamics of U12-type spliceosomal introns. BMC Evolutionary Biology. 10(1). 47–47. 48 indexed citations

14.

Makałowska, Izabela, et al.. (2007). Birth and death of gene overlaps in vertebrates. BMC Evolutionary Biology. 7(1). 193–193. 27 indexed citations

15.

Mount, Stephen M., et al.. (2006). Spliceosomal small nuclear RNA genes in 11 insect genomes. RNA. 13(1). 5–14. 27 indexed citations

16.

Makałowska, Izabela, Chiao‐Feng Lin, & Wojciech Makałowski. (2005). Overlapping genes in vertebrate genomes. Computational Biology and Chemistry. 29(1). 1–12. 78 indexed citations

17.

Akashi, Hiroshi, et al.. (2005). Molecular Evolution in the Drosophila melanogaster Species Subgroup: Frequent Parameter Fluctuations on the Timescale of Molecular Divergence. Genetics. 172(3). 1711–1726. 42 indexed citations

18.

Lewandowska, Dominika, Craig G. Simpson, Gillian P. Clark, et al.. (2004). Determinants of Plant U12-Dependent Intron Splicing Efficiency. The Plant Cell. 16(5). 1340–1352. 37 indexed citations

19.

Рогаев, Е. И., Robin Sherrington, Chenyan Wu, et al.. (1997). Analysis of the 5′ Sequence, Genomic Structure, and Alternative Splicing of thepresenilin-1Gene (PSEN1) Associated with Early Onset Alzheimer Disease. Genomics. 40(3). 415–424. 112 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.

Explore authors with similar magnitude of impact