Linnan Shen

1.6k total citations · 1 hit paper
10 papers, 1.3k citations indexed

About

Linnan Shen is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Linnan Shen has authored 10 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Cell Biology. Recurrent topics in Linnan Shen's work include Ubiquitin and proteasome pathways (8 papers), Glycosylation and Glycoproteins Research (4 papers) and Peptidase Inhibition and Analysis (3 papers). Linnan Shen is often cited by papers focused on Ubiquitin and proteasome pathways (8 papers), Glycosylation and Glycoproteins Research (4 papers) and Peptidase Inhibition and Analysis (3 papers). Linnan Shen collaborates with scholars based in United Kingdom, United States and Finland. Linnan Shen's co-authors include Ronald T. Hay, Michael H. Tatham, Ellis Jaffray, Neil Hattersley, Anna Plechanovová, Jorma J. Palvimo, Marie‐Claude Geoffroy, Catherine H. Botting, Dimitris P. Xirodimas and Changjiang Dong and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and Blood.

In The Last Decade

Linnan Shen

10 papers receiving 1.3k citations

Hit Papers

RNF4 is a poly-SUMO-specific E3 ubiquitin ligase required... 2008 2026 2014 2020 2008 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linnan Shen United Kingdom 9 1.3k 470 198 144 125 10 1.3k
Hung Phi Nguyen United States 7 1.1k 0.9× 298 0.6× 188 0.9× 122 0.8× 195 1.6× 7 1.2k
Anna Plechanovová United Kingdom 13 1.7k 1.4× 735 1.6× 220 1.1× 196 1.4× 206 1.6× 16 1.9k
Justin M. Reitsma United States 18 921 0.7× 291 0.6× 413 2.1× 178 1.2× 105 0.8× 30 1.3k
Neil Hattersley United States 10 1.0k 0.8× 298 0.6× 80 0.4× 297 2.1× 97 0.8× 14 1.1k
Gregory A. Cope United States 5 1.5k 1.2× 406 0.9× 310 1.6× 258 1.8× 133 1.1× 5 1.6k
Frank Zühl Germany 6 1.4k 1.1× 516 1.1× 259 1.3× 430 3.0× 153 1.2× 8 1.5k
Peter-M. Kloetzel Germany 10 898 0.7× 284 0.6× 184 0.9× 269 1.9× 245 2.0× 10 1.0k
Karen Ventii United States 4 1.4k 1.1× 491 1.0× 263 1.3× 241 1.7× 198 1.6× 7 1.6k
Rebecca Welchman United Kingdom 7 818 0.7× 242 0.5× 174 0.9× 235 1.6× 101 0.8× 8 971
Leah Randles United States 8 1.1k 0.8× 373 0.8× 334 1.7× 335 2.3× 47 0.4× 9 1.1k

Countries citing papers authored by Linnan Shen

Since Specialization
Citations

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

Fields of papers citing papers by Linnan Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linnan Shen

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

All Works

10 of 10 papers shown
1.
Lange, Sven M., Frédéric Lamoliatte, Thomas Carroll, et al.. (2024). VCP/p97-associated proteins are binders and debranching enzymes of K48–K63-branched ubiquitin chains. Nature Structural & Molecular Biology. 31(12). 1872–1887. 17 indexed citations
2.
Ibrahim, Adel F.M., Linnan Shen, Michael H. Tatham, et al.. (2020). Antibody RING-Mediated Destruction of Endogenous Proteins. Molecular Cell. 79(1). 155–166.e9. 46 indexed citations
3.
Hattersley, Neil, Linnan Shen, Ellis Jaffray, & Ronald T. Hay. (2010). The SUMO protease SENP6 is a direct regulator of PML nuclear bodies. Molecular Biology of the Cell. 22(1). 78–90. 60 indexed citations
4.
Tatham, Michael H., Marie‐Claude Geoffroy, Linnan Shen, et al.. (2008). RNF4 is a poly-SUMO-specific E3 ubiquitin ligase required for arsenic-induced PML degradation. Nature Cell Biology. 10(5). 538–546. 678 indexed citations breakdown →
5.
Xirodimas, Dimitris P., Anders Sundqvist, Akihiro Nakamura, et al.. (2008). Ribosomal proteins are targets for the NEDD8 pathway. EMBO Reports. 9(3). 280–286. 148 indexed citations
6.
Shen, Linnan, Michael H. Tatham, Changjiang Dong, et al.. (2006). SUMO protease SENP1 induces isomerization of the scissile peptide bond. Nature Structural & Molecular Biology. 13(12). 1069–1077. 104 indexed citations
7.
Shen, Linnan, Huanting Liu, Changjiang Dong, et al.. (2005). Structural basis of NEDD8 ubiquitin discrimination by the deNEDDylating enzyme NEDP1. The EMBO Journal. 24(7). 1341–1351. 91 indexed citations
8.
Shen, Linnan, et al.. (2003). NEDP1, a Highly Conserved Cysteine Protease That deNEDDylates Cullins. Journal of Biological Chemistry. 278(28). 25637–25643. 170 indexed citations
9.
Yu, Chuan-Xin, et al.. (2002). [Protective immunity induced by the nucleic acid vaccine of SjC 21.7 in mice].. PubMed. 20(4). 201–4. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026