Binkai Chi

633 total citations
9 papers, 410 citations indexed

About

Binkai Chi is a scholar working on Molecular Biology, Genetics and Neurology. According to data from OpenAlex, Binkai Chi has authored 9 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Neurology. Recurrent topics in Binkai Chi's work include RNA Research and Splicing (8 papers), RNA modifications and cancer (4 papers) and Neurogenetic and Muscular Disorders Research (4 papers). Binkai Chi is often cited by papers focused on RNA Research and Splicing (8 papers), RNA modifications and cancer (4 papers) and Neurogenetic and Muscular Disorders Research (4 papers). Binkai Chi collaborates with scholars based in China, United States and United Kingdom. Binkai Chi's co-authors include Hong Cheng, Lantian Wang, Robin Reed, Guifen Wu, Jaya Gangopadhyay, Min Shi, Tomohiro Yamazaki, Xingya Chang, Jing Fan and Qingliang Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The EMBO Journal.

In The Last Decade

Binkai Chi

9 papers receiving 409 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Binkai Chi China	8	371	88	70	37	19	9	410
Paola Zuccotti Italy	9	261 0.7×	65 0.7×	40 0.6×	101 2.7×	12 0.6×	12	323
Brandon R. Lowe United States	8	351 0.9×	86 1.0×	32 0.5×	36 1.0×	17 0.9×	10	410
Adam S. Mastrocola United States	7	249 0.7×	45 0.5×	79 1.1×	38 1.0×	40 2.1×	7	321
Duah Alkam United States	8	148 0.4×	28 0.3×	35 0.5×	43 1.2×	21 1.1×	15	239
Miguel B. Coelho United Kingdom	9	373 1.0×	32 0.4×	41 0.6×	57 1.5×	5 0.3×	11	413
Laure Jobert Norway	8	313 0.8×	32 0.4×	33 0.5×	57 1.5×	7 0.4×	8	338
Aleix Bayona‐Feliú Spain	7	435 1.2×	23 0.3×	35 0.5×	35 0.9×	10 0.5×	10	473
Sean S. Houshmandi United States	6	300 0.8×	10 0.1×	66 0.9×	21 0.6×	28 1.5×	7	394
Nasiha S. Ahmed United States	6	220 0.6×	19 0.2×	34 0.5×	14 0.4×	7 0.4×	6	256
Fabio Lauria Italy	7	251 0.7×	55 0.6×	13 0.2×	28 0.8×	4 0.2×	11	282

Countries citing papers authored by Binkai Chi

Since Specialization

Citations

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

Fields of papers citing papers by Binkai Chi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Binkai Chi

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Chi, Binkai, Jeremy D. O’Connell, Jiuchun Zhang, et al.. (2023). Causal ALS genes impact the MHC class II antigen presentation pathway. Proceedings of the National Academy of Sciences. 120(39). e2305756120–e2305756120. 1 indexed citations

2.

Wang, Ke, Xian Du, Suli Chen, et al.. (2019). A U2-snRNP–independent role of SF3b in promoting mRNA export. Proceedings of the National Academy of Sciences. 116(16). 7837–7846. 19 indexed citations

3.

Chi, Binkai, Jeremy D. O’Connell, Tomohiro Yamazaki, et al.. (2018). Interactome analyses revealed that the U1 snRNP machinery overlaps extensively with the RNAP II machinery and contains multiple ALS/SMA-causative proteins. Scientific Reports. 8(1). 8755–8755. 49 indexed citations

4.

Chi, Binkai, Jeremy D. O’Connell, Yong Yu, et al.. (2018). The neurodegenerative diseases ALS and SMA are linked at the molecular level via the ASC-1 complex. Nucleic Acids Research. 46(22). 11939–11951. 33 indexed citations

5.

Fan, Jing, Ke Wang, Lantian Wang, et al.. (2018). mRNAs are sorted for export or degradation before passing through nuclear speckles. Nucleic Acids Research. 46(16). 8404–8416. 24 indexed citations

6.

Fan, Jing, Guifen Wu, Xudong Wu, et al.. (2017). Exosome cofactor hMTR 4 competes with export adaptor ALYREF to ensure balanced nuclear RNA pools for degradation and export. The EMBO Journal. 36(19). 2870–2886. 80 indexed citations

7.

Yu, Yong, Binkai Chi, Wei Xia, et al.. (2015). U1 snRNP is mislocalized in ALS patient fibroblasts bearing NLS mutations in FUS and is required for motor neuron outgrowth in zebrafish. Nucleic Acids Research. 43(6). 3208–3218. 63 indexed citations

8.

Chi, Binkai, K. Wang, Yifei Du, et al.. (2014). A Sub-Element in PRE enhances nuclear export of intronless mRNAs by recruiting the TREX complex via ZC3H18. Nucleic Acids Research. 42(11). 7305–7318. 43 indexed citations

9.

Chi, Binkai, Qingliang Wang, Guifen Wu, et al.. (2012). Aly and THO are required for assembly of the human TREX complex and association of TREX components with the spliced mRNA. Nucleic Acids Research. 41(2). 1294–1306. 98 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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