Kevin Ha

2.8k total citations
31 papers, 1.5k citations indexed

About

Kevin Ha is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Kevin Ha has authored 31 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Epidemiology. Recurrent topics in Kevin Ha's work include RNA modifications and cancer (14 papers), RNA Research and Splicing (14 papers) and RNA and protein synthesis mechanisms (8 papers). Kevin Ha is often cited by papers focused on RNA modifications and cancer (14 papers), RNA Research and Splicing (14 papers) and RNA and protein synthesis mechanisms (8 papers). Kevin Ha collaborates with scholars based in Canada, United States and United Kingdom. Kevin Ha's co-authors include Benjamin J. Blencowe, Quaid Morris, Jacek Majewski, Timothy Sterne-Weiler, Emilie Lalonde, Robert J. Weatheritt, Ulrich Braunschweig, Debashish Ray, Timothy R. Hughes and Andrew Best and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Kevin Ha

29 papers receiving 1.5k citations

Peers

Kevin Ha

GENET

IMMUN

Scott Topper United States

Partha S. Sarkar United States

Dan Liang United States

Walter Tsark United States

Patricia G. Wilson United States

Su‐Yi Tsai Taiwan

Sundeep Kalantry United States

Jörg Bungert United States

Pieter Faber United States

Pingzhu Zhou United States

Scott Topper United States

Kevin Ha

553 ×0.5

574 ×1.7

GENET

181 ×0.7

50 ×0.8

IMMUN

30 ×0.5

Citations per year, relative to Kevin Ha Kevin Ha (= 1×) peers Scott Topper

Countries citing papers authored by Kevin Ha

Since Specialization

Citations

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

Fields of papers citing papers by Kevin Ha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Ha

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

Eng, Simon, Kevin Ha, Hermien E. Kan, et al.. (2025). Large-scale serum protein biomarkers discovery associated with function and clinical milestones in Duchenne muscular dystrophy. Nature Communications. 16(1). 9073–9073.

Ha, Kevin, Idhaliz Flores, Emmeline Ayers, et al.. (2024). The Potential of Non‐invasive Neurostimulation, tDCS for Cognitive Decline in Alzheimer’s Disease: Through the Lens of an Ongoing Clinical Trial. Alzheimer s & Dementia. 20(S1). e087482–e087482. 1 indexed citations

Frazee, Bradley W., et al.. (2023). Methicillin‐resistant Staphylococcus aureus and Pseudomonas aeruginosa community acquired pneumonia: Prevalence and locally derived risk factors in a single hospital system. SHILAP Revista de lepidopterología. 4(6). e13061–e13061. 4 indexed citations

Afshin‐Pour, Babak, Michael Qiu, Shahrzad Hosseini Vajargah, et al.. (2023). Discriminating Acute Respiratory Distress Syndrome from other forms of respiratory failure via iterative machine learning. Intelligence-Based Medicine. 7. 100087–100087. 6 indexed citations

Ha, Kevin, Timothy Sterne-Weiler, Quaid Morris, Robert J. Weatheritt, & Benjamin J. Blencowe. (2021). Differential contribution of transcriptomic regulatory layers in the definition of neuronal identity. Nature Communications. 12(1). 335–335. 14 indexed citations

Gonatopoulos-Pournatzis, Thomas, Michael Aregger, Kevin R. Brown, et al.. (2020). Genetic interaction mapping and exon-resolution functional genomics with a hybrid Cas9–Cas12a platform. Nature Biotechnology. 38(5). 638–648. 102 indexed citations

Rodrigues, Deivid C., Marat Mufteev, Robert J. Weatheritt, et al.. (2020). Shifts in Ribosome Engagement Impact Key Gene Sets in Neurodevelopment and Ubiquitination in Rett Syndrome. Cell Reports. 30(12). 4179–4196.e11. 45 indexed citations

Sterne-Weiler, Timothy, Robert J. Weatheritt, Andrew Best, Kevin Ha, & Benjamin J. Blencowe. (2018). Efficient and Accurate Quantitative Profiling of Alternative Splicing Patterns of Any Complexity on a Laptop. Molecular Cell. 72(1). 187–200.e6. 106 indexed citations

Ha, Kevin, Benjamin J. Blencowe, & Quaid Morris. (2018). QAPA: a new method for the systematic analysis of alternative polyadenylation from RNA-seq data. Genome biology. 19(1). 45–45. 121 indexed citations

10.

Dang, Hien, Atsushi Takai, Marshonna Forgues, et al.. (2017). Oncogenic Activation of the RNA Binding Protein NELFE and MYC Signaling in Hepatocellular Carcinoma. Cancer Cell. 32(1). 101–114.e8. 113 indexed citations

11.

Ha, Kevin, Timothy Sterne-Weiler, André Gohr, et al.. (2017). An atlas of alternative splicing profiles and functional associations reveals new regulatory programs and genes that simultaneously express multiple major isoforms. Genome Research. 27(10). 1759–1768. 265 indexed citations

12.

Cook, Kate B., Shankar Vembu, Kevin Ha, et al.. (2017). RNAcompete-S: Combined RNA sequence/structure preferences for RNA binding proteins derived from a single-step in vitro selection. Methods. 126. 18–28. 25 indexed citations

13.

Ray, Debashish, et al.. (2016). RNAcompete methodology and application to determine sequence preferences of unconventional RNA-binding proteins. Methods. 118-119. 3–15. 43 indexed citations

14.

Gupta, Indra R., Cindy Baldwin, Kevin Ha, et al.. (2013). ARHGDIA : a novel gene implicated in nephrotic syndrome. Journal of Medical Genetics. 50(5). 330–338. 66 indexed citations

15.

Quintero, Hugo, Ryan J. Farris, Kevin Ha, & Michael Goldfarb. (2012). Preliminary assessment of the efficacy of supplementing knee extension capability in a lower limb exoskeleton with FES. PubMed. 2012. 3360–3363. 28 indexed citations

16.

Anastasio, Natascia, Tawfeg Ben‐Omran, Ahmad S. Teebi, et al.. (2010). Mutations in SCARF2 Are Responsible for Van Den Ende-Gupta Syndrome. The American Journal of Human Genetics. 87(4). 553–559. 45 indexed citations

17.

Lalonde, Emilie, Steffen Albrecht, Kevin Ha, et al.. (2010). Unexpected allelic heterogeneity and spectrum of mutations in Fowler syndrome revealed by next-generation exome sequencing. Human Mutation. 31(8). 918–923. 98 indexed citations

18.

Ha, Kevin, Jasmin Coulombe‐Huntington, & Jacek Majewski. (2009). Comparison of Affymetrix Gene Array with the Exon Array shows potential application for detection of transcript isoform variation. BMC Genomics. 10(1). 519–519. 15 indexed citations

19.

Zogopoulos, George, Kevin Ha, Sara Moore, et al.. (2007). Germ-line DNA copy number variation frequencies in a large North American population. Human Genetics. 122(3-4). 345–353. 99 indexed citations

20.

He, David, Esther T. Chan, Kevin Ha, et al.. (2007). Comparative genomics of elastin: Sequence analysis of a highly repetitive protein. Matrix Biology. 26(7). 524–540. 51 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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