Riga Wu

904 total citations
50 papers, 643 citations indexed

About

Riga Wu is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Riga Wu has authored 50 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 25 papers in Genetics and 6 papers in Immunology. Recurrent topics in Riga Wu's work include Forensic and Genetic Research (21 papers), Molecular Biology Techniques and Applications (17 papers) and Genomics and Phylogenetic Studies (6 papers). Riga Wu is often cited by papers focused on Forensic and Genetic Research (21 papers), Molecular Biology Techniques and Applications (17 papers) and Genomics and Phylogenetic Studies (6 papers). Riga Wu collaborates with scholars based in China, Germany and Taiwan. Riga Wu's co-authors include Hongyu Sun, Ran Li, Dan Peng, Huaqiang Wu, He Qian, Zhiping Yu, Haixia Li, Yue Bai, Matthias Wuttig and Ning Deng and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Riga Wu

48 papers receiving 619 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Riga Wu China 13 263 254 196 133 47 50 643
Yuta Suzuki Japan 17 60 0.2× 192 0.8× 54 0.3× 72 0.5× 15 0.3× 52 749
David Neff United States 12 167 0.6× 234 0.9× 30 0.2× 28 0.2× 73 1.6× 28 568
Mikhail Kryuchkov Russia 10 82 0.3× 82 0.3× 42 0.2× 52 0.4× 41 0.9× 16 307
Frederick Balagadde United States 5 205 0.8× 520 2.0× 80 0.4× 31 0.2× 23 0.5× 7 915
Rongjing Zhang China 16 76 0.3× 450 1.8× 28 0.1× 37 0.3× 90 1.9× 75 787
Louise McKenna Ireland 13 260 1.0× 329 1.3× 54 0.3× 29 0.2× 4 0.1× 15 629
Beverly A. Purnell United States 11 77 0.3× 275 1.1× 32 0.2× 33 0.2× 18 0.4× 119 540
Jingyuan Yang China 14 45 0.2× 105 0.4× 72 0.4× 87 0.7× 3 0.1× 41 497

Countries citing papers authored by Riga Wu

Since Specialization
Citations

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

Fields of papers citing papers by Riga Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riga Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Riga Wu. A scholar is included among the top collaborators of Riga Wu 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 Riga Wu. Riga Wu 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.
Qin, Chao, Liping Dai, Riga Wu, et al.. (2025). The value of MRI radiomics in distinguishing different types of spinal infections. Computer Methods and Programs in Biomedicine. 264. 108719–108719. 1 indexed citations
2.
Liu, Zhiyong, Ning Wang, Qingxia Zhang, et al.. (2025). Developmental validation of an mRNA-cSNP profiling panel for body fluids identification and individualization. International Journal of Legal Medicine. 139(4). 1495–1509. 2 indexed citations
3.
Peng, Dan, et al.. (2024). Concurrent genotyping of mitochondrial DNA and nuclear DNA in rootless hair shafts and blood samples for enhanced analysis. Forensic Science International Genetics. 75. 103176–103176.
4.
5.
An, Decheng, Senhao Zhang, Xin Zhai, et al.. (2024). Metavalently bonded tellurides: the essence of improved thermoelectric performance in elemental Te. Nature Communications. 15(1). 3177–3177. 28 indexed citations
6.
Wu, Riga, et al.. (2023). Strong charge carrier scattering at grain boundaries of PbTe caused by the collapse of metavalent bonding. Nature Communications. 14(1). 719–719. 73 indexed citations
7.
Li, Ran, et al.. (2023). Easykin: a flexible and user-friendly online tool for forensic kinship testing and missing person identification. International Journal of Legal Medicine. 137(6). 1671–1681. 2 indexed citations
8.
Dong, Fan, et al.. (2023). Does postcholecystectomy increase the risk of colorectal cancer?. Frontiers in Microbiology. 14. 1194419–1194419. 2 indexed citations
9.
10.
Liu, Zhiyong, et al.. (2023). Metatranscriptomic characterization of six types of forensic samples and its potential application to body fluid/tissue identification: A pilot study. Forensic Science International Genetics. 68. 102978–102978. 4 indexed citations
11.
Li, Ran, Qiangwei Wang, Jingyi Yang, et al.. (2023). Comparison of three massively parallel sequencing platforms for single nucleotide polymorphism (SNP) genotyping in forensic genetics. International Journal of Legal Medicine. 137(5). 1361–1372. 4 indexed citations
12.
Liu, Zhiyong, Jingyi Yang, Jiajun Liu, et al.. (2023). Integrative lncRNA, circRNA, and mRNA analysis reveals expression profiles of six forensic body fluids/tissue. International Journal of Legal Medicine. 138(3). 731–742. 10 indexed citations
13.
Wu, Riga, et al.. (2023). Chronic Unpredictable Mild Stress in Rats based on the Mongolian medicine. Journal of Visualized Experiments. 4 indexed citations
14.
Peng, Dan, Yinming Zhang, Haixia Li, et al.. (2020). Identification of sequence polymorphisms at 58 STRs and 94 iiSNPs in a Tibetan population using massively parallel sequencing. Scientific Reports. 10(1). 12225–12225. 27 indexed citations
15.
Li, Ran, Riga Wu, Haixia Li, et al.. (2019). Characterizing stutter variants in forensic STRs with massively parallel sequencing. Forensic Science International Genetics. 45. 102225–102225. 23 indexed citations
16.
Wu, Riga, Ran Li, Dan Peng, et al.. (2019). Genetic polymorphism and population structure of Torghut Mongols and comparison with a Mongolian population 3000 kilometers away. Forensic Science International Genetics. 42. 235–243. 10 indexed citations
17.
Li, Ran, Haixia Li, Dan Peng, et al.. (2018). Improved pairwise kinship analysis using massively parallel sequencing. Forensic Science International Genetics. 38. 77–85. 58 indexed citations
18.
Bai, Yue, Huaqiang Wu, Kun Wang, et al.. (2015). Stacked 3D RRAM Array with Graphene/CNT as Edge Electrodes. Scientific Reports. 5(1). 13785–13785. 39 indexed citations
19.
Wu, Riga, et al.. (2015). Hox cluster characterization of Banna caecilian (Ichthyophis bannanicus) provides hints for slow evolution of its genome. BMC Genomics. 16(1). 468–468. 6 indexed citations
20.
Liang, Dan, Riga Wu, Jie Geng, Chaolin Wang, & Xiaozhong Peng. (2011). A general scenario of Hoxgene inventory variation among major sarcopterygian lineages. BMC Evolutionary Biology. 11(1). 25–25. 28 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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