Kridsadakorn Chaichoompu

2.0k total citations · 1 hit paper
14 papers, 866 citations indexed

About

Kridsadakorn Chaichoompu is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Kridsadakorn Chaichoompu has authored 14 papers receiving a total of 866 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Genetics and 3 papers in Artificial Intelligence. Recurrent topics in Kridsadakorn Chaichoompu's work include Machine Learning in Bioinformatics (4 papers), Genetic Associations and Epidemiology (4 papers) and Genomics and Phylogenetic Studies (4 papers). Kridsadakorn Chaichoompu is often cited by papers focused on Machine Learning in Bioinformatics (4 papers), Genetic Associations and Epidemiology (4 papers) and Genomics and Phylogenetic Studies (4 papers). Kridsadakorn Chaichoompu collaborates with scholars based in Thailand, Germany and Belgium. Kridsadakorn Chaichoompu's co-authors include Anna Danese, Fabian J. Theis, Maria Colomé‐Tatché, Martin Dugas, Maren Büttner, Martin Mueller, Malte D. Luecken, Luke Zappia, Marta Interlandi and Daniel Strobl and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Kridsadakorn Chaichoompu

14 papers receiving 852 citations

Hit Papers

Benchmarking atlas-level data integration in single-cell ... 2021 2026 2022 2024 2021 100 200 300 400 500
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. Benchmarking atlas-level data integration in single-cell genomics
    2021 544 citations Malte D. Luecken, Maren Büttner et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kridsadakorn Chaichoompu Thailand 9 666 161 122 114 108 14 866
Britta Velten Germany 10 1.1k 1.7× 118 0.7× 182 1.5× 109 1.0× 128 1.2× 13 1.4k
Damien Arnol United Kingdom 6 1.1k 1.7× 151 0.9× 198 1.6× 109 1.0× 115 1.1× 6 1.4k
Vitalii Kleshchevnikov United Kingdom 3 761 1.1× 76 0.5× 90 0.7× 160 1.4× 79 0.7× 4 854
Bianka Baying Germany 7 775 1.2× 88 0.5× 196 1.6× 169 1.5× 73 0.7× 9 919
Albert Xu United States 8 802 1.2× 64 0.4× 70 0.6× 42 0.4× 147 1.4× 18 928
Leon Anavy Israel 10 839 1.3× 72 0.4× 176 1.4× 170 1.5× 60 0.6× 16 1.1k
John Blischak United States 9 544 0.8× 54 0.3× 103 0.8× 73 0.6× 145 1.3× 17 753
Katy Vandereyken Belgium 3 457 0.7× 82 0.5× 112 0.9× 81 0.7× 42 0.4× 3 660
Vincent Gardeux Switzerland 17 768 1.2× 53 0.3× 130 1.1× 130 1.1× 164 1.5× 43 1.2k
Tomislav Ilicic United Kingdom 4 854 1.3× 95 0.6× 234 1.9× 150 1.3× 60 0.6× 4 980

Countries citing papers authored by Kridsadakorn Chaichoompu

Since Specialization
Citations

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

Fields of papers citing papers by Kridsadakorn Chaichoompu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kridsadakorn Chaichoompu

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

All Works

14 of 14 papers shown
1.
Chaichoompu, Kridsadakorn, Franco Valzania, Francesco Cavallieri, et al.. (2024). Genetic and Epidemiological Insights into RAB32‐Linked Parkinson's Disease. Movement Disorders. 40(1). 147–151. 2 indexed citations
2.
Danese, Anna, et al.. (2021). EpiScanpy: integrated single-cell epigenomic analysis. Nature Communications. 12(1). 5228–5228. 73 indexed citations
3.
Luecken, Malte D., Maren Büttner, Kridsadakorn Chaichoompu, et al.. (2021). Benchmarking atlas-level data integration in single-cell genomics. Nature Methods. 19(1). 41–50. 544 indexed citations breakdown →
4.
Chaichoompu, Kridsadakorn, Fentaw Abegaz, Bruno Cavadas, et al.. (2019). A different view on fine-scale population structure in Western African populations. Human Genetics. 139(1). 45–59. 12 indexed citations
5.
Chaichoompu, Kridsadakorn, Fentaw Abegaz, Sissades Tongsima, et al.. (2019). IPCAPS: an R package for iterative pruning to capture population structure. SHILAP Revista de lepidopterología. 14(1). 2–2. 7 indexed citations
6.
Abegaz, Fentaw, Kridsadakorn Chaichoompu, Emmanuelle Génin, et al.. (2018). Principals about principal components in statistical genetics. Briefings in Bioinformatics. 20(6). 2200–2216. 29 indexed citations
7.
Noël, Grégoire, et al.. (2017). Human based genetic tools to refine genetic populations structure of honey bees (Apis mellifera ssp L.) (Hymenoptera: Apoidea: Apidae) colonies at regional scale. Open Repository and Bibliography (University of Liège). 1 indexed citations
8.
Wangkumhang, Pongsakorn, Philip J. Shaw, Kridsadakorn Chaichoompu, et al.. (2013). Insight into the Peopling of Mainland Southeast Asia from Thai Population Genetic Structure. PLoS ONE. 8(11). e79522–e79522. 25 indexed citations
9.
Intarapanich, Apichart, Philip J. Shaw, Anunchai Assawamakin, et al.. (2009). Iterative pruning PCA improves resolution of highly structured populations. BMC Bioinformatics. 10(1). 382–382. 25 indexed citations
10.
Wangkumhang, Pongsakorn, Kridsadakorn Chaichoompu, Chumpol Ngamphiw, et al.. (2007). WASP: a Web-based Allele-Specific PCR assay designing tool for detecting SNPs and mutations. BMC Genomics. 8(1). 275–275. 100 indexed citations
11.
Chaichoompu, Kridsadakorn, et al.. (2007). Speedup bioinformatics applications on multicore-based processor using vectorizing and multithreading strategies. Bioinformation. 2(5). 182–184. 2 indexed citations
12.
Chaichoompu, Kridsadakorn, et al.. (2006). MT-ClustalW: multithreading multiple sequence alignment. 254–254. 24 indexed citations
13.
Chaichoompu, Kridsadakorn, et al.. (2006). Multithreaded ClustalW with Improved Optimization for Intel Multi-core Processor. Open Repository and Bibliography (University of Liège). 4. 590–594. 4 indexed citations
14.
Chaichoompu, Kridsadakorn, et al.. (2006). MT-ClustalW: multithreading multiple sequence alignment. Open Repository and Bibliography (University of Liège). 5. 8 pp.–8 pp.. 18 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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