Haihong Shen

2.7k total citations
66 papers, 2.1k citations indexed

About

Haihong Shen is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Haihong Shen has authored 66 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 12 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in Haihong Shen's work include RNA Research and Splicing (45 papers), RNA modifications and cancer (40 papers) and RNA and protein synthesis mechanisms (28 papers). Haihong Shen is often cited by papers focused on RNA Research and Splicing (45 papers), RNA modifications and cancer (40 papers) and RNA and protein synthesis mechanisms (28 papers). Haihong Shen collaborates with scholars based in South Korea, United States and China. Haihong Shen's co-authors include Michael R. Green, Xuexiu Zheng, Julie L.C. Kan, Claudia Ghigna, Giuseppe Biamonti, Michael R. Green, Tiing Jen Loh, Heegyum Moon, Silvia Giordano and Fabio Castiglioni and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Haihong Shen

64 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Haihong Shen South Korea	22	1.9k	274	136	130	121	66	2.1k
Daisuke Kaida Japan	16	1.8k 1.0×	208 0.8×	52 0.4×	122 0.9×	46 0.4×	27	1.9k
Roscoe Klinck Canada	23	2.0k 1.1×	389 1.4×	128 0.9×	58 0.4×	57 0.5×	37	2.2k
Claudia Schneider United Kingdom	23	2.0k 1.1×	142 0.5×	116 0.9×	158 1.2×	43 0.4×	36	2.2k
Thomas Schwarzl Germany	21	3.0k 1.6×	759 2.8×	187 1.4×	53 0.4×	104 0.9×	31	3.3k
David R. Loiselle United States	21	927 0.5×	245 0.9×	175 1.3×	65 0.5×	66 0.5×	31	1.3k
Nathaniel Robichaud Canada	12	1.6k 0.8×	252 0.9×	205 1.5×	91 0.7×	43 0.4×	14	1.9k
Beth Apsel United States	7	1.1k 0.6×	113 0.4×	161 1.2×	133 1.0×	205 1.7×	7	1.5k
Carles Codony Spain	13	873 0.5×	353 1.3×	96 0.7×	83 0.6×	38 0.3×	29	1.2k
Andrew Siwkowski United States	17	1.1k 0.6×	129 0.5×	83 0.6×	60 0.5×	85 0.7×	25	1.3k
Sabine S. Lange United States	17	985 0.5×	265 1.0×	191 1.4×	27 0.2×	64 0.5×	21	1.4k

Countries citing papers authored by Haihong Shen

Since Specialization

Citations

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

Fields of papers citing papers by Haihong Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haihong Shen

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

All Works

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20 of 20 papers shown

Yang, Li, et al.. (2024). Intestinal stem cells in intestinal homeostasis and colorectal tumorigenesis. PubMed. 3(5). lnae042–lnae042.

Jin, Mi Sun, et al.. (2022). Eltrombopag as an Allosteric Inhibitor of the METTL3-14 Complex Affecting the m6A Methylation of RNA in Acute Myeloid Leukemia Cells. Pharmaceuticals. 15(4). 440–440. 48 indexed citations

Choi, Kwangman, Hyejeong Jeong, Joon‐Chul Kim, et al.. (2021). Regulation of Survival Motor Neuron Gene Expression by Calcium Signaling. International Journal of Molecular Sciences. 22(19). 10234–10234.

Pradella, Davide, Da‐Woon Jung, Darren R. Williams, et al.. (2021). SRSF9 Regulates Cassette Exon Splicing of Caspase-2 by Interacting with Its Downstream Exon. Cells. 10(3). 679–679. 10 indexed citations

Pradella, Davide, Yoonseong Kim, Changwei Shao, et al.. (2021). Global Alternative Splicing Defects in Human Breast Cancer Cells. Cancers. 13(12). 3071–3071. 6 indexed citations

Pradella, Davide, Changwei Shao, Hairi Li, et al.. (2021). Widespread Alternative Splicing Changes in Metastatic Breast Cancer Cells. Cells. 10(4). 858–858. 14 indexed citations

Liu, Yongchao, et al.. (2020). Opposite Roles of Tra2β and SRSF9 in the v10 Exon Splicing of CD44. Cancers. 12(11). 3195–3195. 9 indexed citations

Jeong, Hyejeong, Yang Hee Jo, Miri Choi, et al.. (2019). Improvement of spinal muscular atrophy via correction of the SMN2 splicing defect by Brucea javanica (L.) Merr. extract and Bruceine D. Phytomedicine. 65. 153089–153089. 9 indexed citations

Liu, Yongchao, et al.. (2018). Binding of SRSF4 to a novel enhancer modulates splicing of exon 6 of Fas pre-mRNA. Biochemical and Biophysical Research Communications. 506(3). 703–708. 10 indexed citations

10.

Moon, Heegyum, Xuexiu Zheng, Tiing Jen Loh, et al.. (2015). Identification of Regulatory-RNAs for Alternative Splicing of Ron Proto-Oncogene. Journal of Cancer. 6(12). 1346–1351. 3 indexed citations

11.

Cho, Sunghee, Heegyum Moon, Tiing Jen Loh, et al.. (2015). Splicing inhibition of U2AF ⁶⁵ leads to alternative exon skipping. Proceedings of the National Academy of Sciences. 112(32). 9926–9931. 35 indexed citations

12.

Zheng, Xuexiu, Sunghee Cho, Heegyum Moon, et al.. (2014). Polypyrimidine tract binding protein inhibits IgM pre-mRNA splicing by diverting U2 snRNA base-pairing away from the branch point. RNA. 20(4). 440–446. 5 indexed citations

13.

Moon, Heegyum, Sunghee Cho, Tiing Jen Loh, et al.. (2014). SRSF2 promotes splicing and transcription of exon 11 included isoform in Ron proto-oncogene. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1839(11). 1132–1140. 21 indexed citations

14.

Lee, Minho, Tiing Jen Loh, Heegyum Moon, et al.. (2013). Exon 9 skipping of apoptotic caspase-2 pre-mRNA is promoted by SRSF3 through interaction with exon 8. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1839(1). 25–32. 26 indexed citations

15.

Loh, Tiing Jen, Heegyum Moon, Sunghee Cho, et al.. (2013). SC35 promotes splicing of the C5-V6-C6 isoform of CD44 pre-mRNA. Oncology Reports. 31(1). 273–279. 16 indexed citations

16.

Yang, Xiaoming, et al.. (2013). Predominant expression of exon 7 skipped SMN mRNAs in lung based on analysis of transcriptome sequencing datasets. Neurological Sciences. 35(3). 391–396. 2 indexed citations

17.

Shen, Haihong. (2009). UAP56- a key player with surprisingly diverse roles in pre-mRNA splicing and nuclear export. BMB Reports. 42(4). 185–188. 51 indexed citations

18.

Shen, Haihong & Michael R. Green. (2006). RS domains contact splicing signals and promote splicing by a common mechanism in yeast through humans. Genes & Development. 20(13). 1755–1765. 113 indexed citations

19.

Shen, Haihong, Julie L.C. Kan, & Michael R. Green. (2004). Arginine-Serine-Rich Domains Bound at Splicing Enhancers Contact the Branchpoint to Promote Prespliceosome Assembly. Molecular Cell. 13(3). 367–376. 201 indexed citations

20.

Shen, Haihong, et al.. (2003). Stepwise Walking and Cross-Linking of RNA with Elongating T7 RNA Polymerase. Methods in enzymology on CD-ROM/Methods in enzymology. 371. 170–179. 8 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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