Kridsadakorn Chaichoompu
- Co-authors
- Anna DaneseFabian J. TheisMaria Colomé‐TatchéMartin DugasDaniel StroblLuke ZappiaMaren BüttnerMartin Mueller
- Topics
- Machine Learning in Bioinformatics (4 papers)Genetic Associations and Epidemiology (4 papers)Gene expression and cancer classification (4 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE
In The Last Decade
Kridsadakorn Chaichoompu
14 papers receiving 852 citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 666
- Biophysics 161
- Cancer Research 122
- Immunology 114
- Genetics 108
Countries citing papers authored by Kridsadakorn Chaichoompu
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 73 | |
| 3 | Benchmarking atlas-level data integration in single-cell genomicsbreakdown → | 544 |
| 4 | 12 | |
| 5 | 7 | |
| 6 | 29 | |
| 7 | Human based genetic tools to refine genetic populations structure of honey bees (Apis mellifera ssp L.) (Hymenoptera: Apoidea: Apidae) colonies at regional scale | 1 |
| 8 | 25 | |
| 9 | 25 | |
| 10 | 2 | |
| 11 | 100 | |
| 12 | 24 | |
| 13 | 18 | |
| 14 | 4 |
About Kridsadakorn Chaichoompu
Kridsadakorn Chaichoompu is a scholar working on Genetics, Biophysics and Molecular Biology, having authored 14 papers that have together received 866 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (4 papers), Genetic Associations and Epidemiology (4 papers) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Biophysics (161 citations), Molecular Biology (666 citations) and Cancer Research (122 citations). Kridsadakorn Chaichoompu has collaborated with scholars based in Thailand, Germany and Belgium. Frequent co-authors include Anna Danese, Fabian J. Theis, Maria Colomé‐Tatché, Martin Dugas, Daniel Strobl, Luke Zappia, Maren Büttner, Martin Mueller, Marta Interlandi and Malte D. Luecken. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.