Keith A. Boroevich

18.3k total citations · 1 hit paper
38 papers, 1.8k citations indexed

About

Keith A. Boroevich is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Keith A. Boroevich has authored 38 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 14 papers in Genetics and 9 papers in Cancer Research. Recurrent topics in Keith A. Boroevich's work include Bioinformatics and Genomic Networks (9 papers), Genomics and Phylogenetic Studies (6 papers) and Genomics and Rare Diseases (5 papers). Keith A. Boroevich is often cited by papers focused on Bioinformatics and Genomic Networks (9 papers), Genomics and Phylogenetic Studies (6 papers) and Genomics and Rare Diseases (5 papers). Keith A. Boroevich collaborates with scholars based in Japan, Australia and Canada. Keith A. Boroevich's co-authors include Tatsuhiko Tsunoda, Alok Sharma, Daichi Shigemizu, Peter N. Inglis, Edwin Vans, Artem Lysenko, William S. Davidson, Michel R. Leroux, David L. Baillie and Oliver E. Blacque and has published in prestigious journals such as Nature Genetics, PLoS ONE and Diabetes.

In The Last Decade

Keith A. Boroevich

36 papers receiving 1.8k citations

Hit Papers

Advances in AI and machine learning for predictive medicine 2024 2026 2024 20 40 60
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.

  1. Advances in AI and machine learning for predictive medicine
    2024 64 citations Alok Sharma, Artem Lysenko et al. Journal of Human Genetics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keith A. Boroevich Japan 21 1.0k 746 211 182 154 38 1.8k
Lei Cai China 28 1.9k 1.8× 291 0.4× 123 0.6× 330 1.8× 161 1.0× 111 3.4k
Theodore J. Perkins Canada 25 1.5k 1.5× 298 0.4× 171 0.8× 159 0.9× 257 1.7× 100 2.3k
Elahe Elahi Iran 27 1.0k 1.0× 365 0.5× 182 0.9× 129 0.7× 38 0.2× 108 2.3k
Léon-Charles Tranchevent Belgium 27 2.4k 2.3× 750 1.0× 77 0.4× 299 1.6× 278 1.8× 44 3.1k
Jianhua Xuan United States 22 1.4k 1.4× 176 0.2× 192 0.9× 303 1.7× 219 1.4× 126 2.2k
Ryan K. C. Yuen Canada 27 2.2k 2.2× 1.4k 1.9× 91 0.4× 395 2.2× 109 0.7× 49 3.7k
Randall Pruim United States 9 572 0.6× 724 1.0× 45 0.2× 123 0.7× 112 0.7× 19 1.8k

Countries citing papers authored by Keith A. Boroevich

Since Specialization
Citations

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

Fields of papers citing papers by Keith A. Boroevich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith A. Boroevich. 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 Keith A. Boroevich. The network helps show where Keith A. Boroevich may publish in the future.

Co-authorship network of co-authors of Keith A. Boroevich

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

All Works

20 of 20 papers shown
1.
2.
Sharma, Alok, et al.. (2024). Enhanced analysis of tabular data through Multi-representation DeepInsight. Scientific Reports. 14(1). 12851–12851. 1 indexed citations
3.
Sharma, Alok, Artem Lysenko, Keith A. Boroevich, & Tatsuhiko Tsunoda. (2023). DeepInsight-3D architecture for anti-cancer drug response prediction with deep-learning on multi-omics. Scientific Reports. 13(1). 2483–2483. 21 indexed citations
4.
Lysenko, Artem, et al.. (2023). scDeepInsight: a supervised cell-type identification method for scRNA-seq data with deep learning. Briefings in Bioinformatics. 24(5). 24 indexed citations
5.
Matsuo, Hitoshi, et al.. (2022). Association between high immune activity and worse prognosis in uveal melanoma and low-grade glioma in TCGA transcriptomic data. BMC Genomics. 23(1). 351–351. 10 indexed citations
6.
Shigemizu, Daichi, Shintaro Akiyama, Yuya Asanomi, et al.. (2019). A comparison of machine learning classifiers for dementia with Lewy bodies using miRNA expression data. BMC Medical Genomics. 12(1). 150–150. 28 indexed citations
7.
Sharma, Alok, Edwin Vans, Daichi Shigemizu, Keith A. Boroevich, & Tatsuhiko Tsunoda. (2019). DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture. Scientific Reports. 9(1). 11399–11399. 259 indexed citations
8.
Shigemizu, Daichi, Shintaro Akiyama, Yuya Asanomi, et al.. (2019). Risk prediction models for dementia constructed by supervised principal component analysis using miRNA expression data. Communications Biology. 2(1). 77–77. 46 indexed citations
9.
Hori, Ikumi, Fuyuki Miya, Yutaka Negishi, et al.. (2018). A novel homozygous missense mutation in the SH3-binding motif of STAMBP causing microcephaly-capillary malformation syndrome. Journal of Human Genetics. 63(9). 957–963. 10 indexed citations
10.
Shigemizu, Daichi, Fuyuki Miya, Shintaro Akiyama, et al.. (2018). IMSindel: An accurate intermediate-size indel detection tool incorporating de novo assembly and gapped global-local alignment with split read analysis. Scientific Reports. 8(1). 5608–5608. 20 indexed citations
11.
Okamoto, Nobuhiko, Fuyuki Miya, Tatsuhiko Tsunoda, et al.. (2017). A novel genetic syndrome with STARD9 mutation and abnormal spindle morphology. American Journal of Medical Genetics Part A. 173(10). 2690–2696. 7 indexed citations
12.
Lysenko, Artem, Keith A. Boroevich, & Tatsuhiko Tsunoda. (2017). Arete – candidate gene prioritization using biological network topology with additional evidence types. BioData Mining. 10(1). 22–22. 11 indexed citations
13.
Sharma, Alok, Daichi Shigemizu, Keith A. Boroevich, et al.. (2016). Stepwise iterative maximum likelihood clustering approach. BMC Bioinformatics. 17(1). 319–319. 13 indexed citations
14.
Shigemizu, Daichi, Yukihide Momozawa, Takashi Morizono, et al.. (2015). Performance comparison of four commercial human whole-exome capture platforms. Scientific Reports. 5(1). 12742–12742. 55 indexed citations
15.
Miya, Fuyuki, Mitsuhiro Kato, Tadashi Shiohama, et al.. (2015). A combination of targeted enrichment methodologies for whole-exome sequencing reveals novel pathogenic mutations. Scientific Reports. 5(1). 9331–9331. 13 indexed citations
16.
Boroevich, Keith A., et al.. (2010). Comparative Genomics Identifies Candidate Genes for Infectious Salmon Anemia (ISA) Resistance in Atlantic Salmon (Salmo salar). Marine Biotechnology. 13(2). 232–241. 41 indexed citations
17.
Boroevich, Keith A., Krzysztof P. Lubieniecki, William Chow, et al.. (2010). Genomic organization and evolution of the Atlantic salmon hemoglobin repertoire. BMC Genomics. 11(1). 539–539. 26 indexed citations
18.
Levenkova, Natasha, William Chow, Pascal Bouffard, et al.. (2008). Assessing the feasibility of GS FLX Pyrosequencing for sequencing the Atlantic salmon genome. BMC Genomics. 9(1). 404–404. 66 indexed citations
19.
Inglis, Peter N., et al.. (2006). Piecing together a ciliome. Trends in Genetics. 22(9). 491–500. 168 indexed citations
20.
Blacque, Oliver E., Elliot A. Perens, Keith A. Boroevich, et al.. (2005). Functional Genomics of the Cilium, a Sensory Organelle. Current Biology. 15(10). 935–941. 215 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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