Jing-Ping Hsin

1.3k total citations · 1 hit paper
8 papers, 965 citations indexed

About

Jing-Ping Hsin is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jing-Ping Hsin has authored 8 papers receiving a total of 965 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Oncology. Recurrent topics in Jing-Ping Hsin's work include RNA Research and Splicing (5 papers), RNA modifications and cancer (4 papers) and RNA and protein synthesis mechanisms (3 papers). Jing-Ping Hsin is often cited by papers focused on RNA Research and Splicing (5 papers), RNA modifications and cancer (4 papers) and RNA and protein synthesis mechanisms (3 papers). Jing-Ping Hsin collaborates with scholars based in United States, Taiwan and Germany. Jing-Ping Hsin's co-authors include James L. Manley, Amit Sheth, Alexander Y. Rudensky, Yuheng Lu, Christina S. Leslie, Gabriel B. Loeb, Kehui Xiang, Paula D. Bos, Carolyn L. Zawislak and Ashutosh Chaudhry and has published in prestigious journals such as Science, Genes & Development and Immunity.

In The Last Decade

Jing-Ping Hsin

8 papers receiving 956 citations

Hit Papers

The RNA polymerase II CTD coordinates transcription and R... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing-Ping Hsin United States 7 809 204 130 64 55 8 965
J. Robert Hogg United States 16 990 1.2× 129 0.6× 82 0.6× 37 0.6× 69 1.3× 24 1.1k
Natalia Pinello Australia 10 657 0.8× 183 0.9× 81 0.6× 38 0.6× 28 0.5× 16 773
Shuchi Agrawal‐Singh Denmark 9 645 0.8× 169 0.8× 76 0.6× 45 0.7× 46 0.8× 12 758
Dmitry N. Lyabin Russia 17 1.0k 1.3× 215 1.1× 160 1.2× 94 1.5× 20 0.4× 32 1.2k
Yuri V. Postnikov United States 22 972 1.2× 160 0.8× 201 1.5× 78 1.2× 52 0.9× 33 1.2k
Romain Fenouil France 14 1.3k 1.6× 282 1.4× 240 1.8× 47 0.7× 94 1.7× 20 1.5k
Margarida Gama‐Carvalho Portugal 16 661 0.8× 155 0.8× 78 0.6× 39 0.6× 88 1.6× 46 859
Michael Tellier United Kingdom 16 821 1.0× 89 0.4× 118 0.9× 125 2.0× 95 1.7× 37 981
Chung-Te Chang Germany 13 988 1.2× 154 0.8× 58 0.4× 28 0.4× 42 0.8× 19 1.1k
Hyerim Yi South Korea 7 764 0.9× 143 0.7× 112 0.9× 23 0.4× 25 0.5× 8 838

Countries citing papers authored by Jing-Ping Hsin

Since Specialization
Citations

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

Fields of papers citing papers by Jing-Ping Hsin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing-Ping Hsin. 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 Jing-Ping Hsin. The network helps show where Jing-Ping Hsin may publish in the future.

Co-authorship network of co-authors of Jing-Ping Hsin

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

All Works

8 of 8 papers shown
1.
Oh, Julyun, Jing-Ping Hsin, Sara Miller, et al.. (2024). NOT gated T cells that selectively target EGFR and other widely expressed tumor antigens. iScience. 27(6). 109913–109913. 3 indexed citations
2.
Hsin, Jing-Ping, Yuheng Lu, Gabriel B. Loeb, Christina S. Leslie, & Alexander Y. Rudensky. (2018). The effect of cellular context on miR-155-mediated gene regulation in four major immune cell types. Nature Immunology. 19(10). 1137–1145. 103 indexed citations
3.
Lu, Li‐Fan, Georg Gasteiger, I‐Shing Yu, et al.. (2015). A Single miRNA-mRNA Interaction Affects the Immune Response in a Context- and Cell-Type-Specific Manner. Immunity. 43(1). 52–64. 144 indexed citations
4.
Hsin, Jing-Ping, Wencheng Li, Mainul Hoque, Bin Tian, & James L. Manley. (2014). RNAP II CTD tyrosine 1 performs diverse functions in vertebrate cells. eLife. 3. e02112–e02112. 41 indexed citations
5.
Hsin, Jing-Ping, Kehui Xiang, & James L. Manley. (2014). Function and Control of RNA Polymerase II C-Terminal Domain Phosphorylation in Vertebrate Transcription and RNA Processing. Molecular and Cellular Biology. 34(13). 2488–2498. 44 indexed citations
6.
Hsin, Jing-Ping & James L. Manley. (2012). The RNA polymerase II CTD coordinates transcription and RNA processing. Genes & Development. 26(19). 2119–2137. 492 indexed citations breakdown →
7.
Hsin, Jing-Ping, Amit Sheth, & James L. Manley. (2011). RNAP II CTD Phosphorylated on Threonine-4 Is Required for Histone mRNA 3′ End Processing. Science. 334(6056). 683–686. 132 indexed citations
8.
Chuang, Chiao–Hui, et al.. (1998). Evidence for the involvement of protein kinase C in the inhibition of prolactin gene expression by transforming growth factor-beta2.. PubMed. 53(6). 1054–61. 6 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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