Youmin Shu

1.1k total citations
9 papers, 634 citations indexed

About

Youmin Shu is a scholar working on Molecular Biology, Cancer Research and Physical and Theoretical Chemistry. According to data from OpenAlex, Youmin Shu has authored 9 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Physical and Theoretical Chemistry. Recurrent topics in Youmin Shu's work include Protein Structure and Dynamics (2 papers), Mitochondrial Function and Pathology (2 papers) and Fungal and yeast genetics research (2 papers). Youmin Shu is often cited by papers focused on Protein Structure and Dynamics (2 papers), Mitochondrial Function and Pathology (2 papers) and Fungal and yeast genetics research (2 papers). Youmin Shu collaborates with scholars based in United States, France and Canada. Youmin Shu's co-authors include Richard L. Hallberg, João G. Magalhães, Dana J. Philpott, Damien Arnoult, Ivan Tattoli, Stephen E. Girardin, Muguette Jéhanno, Letícia A. M. Carneiro, Elizabeth M. Hallberg and Fadel A. Samatey and has published in prestigious journals such as Molecular and Cellular Biology, Biochemical and Biophysical Research Communications and European Journal of Biochemistry.

In The Last Decade

Youmin Shu

9 papers receiving 623 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Youmin Shu United States 9 493 200 74 48 47 9 634
Olga P. Ryabinina United States 9 242 0.5× 103 0.5× 41 0.6× 35 0.7× 47 1.0× 12 396
Sandy Mattijssen United States 15 712 1.4× 90 0.5× 26 0.4× 78 1.6× 57 1.2× 25 850
E. Krysztofinska United Kingdom 12 322 0.7× 91 0.5× 86 1.2× 32 0.7× 39 0.8× 16 473
Sneha Rath United States 11 609 1.2× 243 1.2× 27 0.4× 95 2.0× 34 0.7× 14 751
Susumu KOYAMA Japan 6 465 0.9× 200 1.0× 74 1.0× 33 0.7× 20 0.4× 10 674
Douglas S. Zatechka United States 7 258 0.5× 62 0.3× 41 0.6× 77 1.6× 28 0.6× 7 369
Mark A. McNiven United States 8 355 0.7× 36 0.2× 85 1.1× 41 0.9× 34 0.7× 9 506
Adrienne O’Connor United States 10 250 0.5× 115 0.6× 76 1.0× 57 1.2× 64 1.4× 12 586
Ayako Naito Japan 9 436 0.9× 75 0.4× 34 0.5× 25 0.5× 37 0.8× 13 616
Keith A. Luhrs United States 10 429 0.9× 259 1.3× 36 0.5× 64 1.3× 46 1.0× 12 715

Countries citing papers authored by Youmin Shu

Since Specialization
Citations

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

Fields of papers citing papers by Youmin Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youmin Shu

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

All Works

9 of 9 papers shown
1.
Ma, Donghui, Dror I. Baruch, Youmin Shu, et al.. (2012). Using protein microarray technology to screen anti-ERCC1 monoclonal antibodies for specificity and applications in pathology. BMC Biotechnology. 12(1). 88–88. 37 indexed citations
2.
Raafat, Ahmed, et al.. (2010). Transforming acidic coiled-coil protein-3 (Tacc3) acts as a negative regulator of Notch signaling through binding to CDC10/Ankyrin repeats. Biochemical and Biophysical Research Communications. 400(4). 606–612. 18 indexed citations
3.
Tattoli, Ivan, Letícia A. M. Carneiro, Muguette Jéhanno, et al.. (2008). NLRX1 is a mitochondrial NOD‐like receptor that amplifies NF‐κB and JNK pathways by inducing reactive oxygen species production. EMBO Reports. 9(3). 293–300. 263 indexed citations
4.
Chung, Joon‐Yong, Till Braunschweig, Ilya Mazo, et al.. (2007). Expression of EIF3-p48/INT6, TID1 and Patched in cancer, a profiling of multiple tumor types and correlation of expression. Journal of Biomedical Science. 14(3). 395–405. 18 indexed citations
5.
Shu, Youmin, Yang Haifeng, Elizabeth M. Hallberg, & Richard L. Hallberg. (1997). Molecular Genetic Analysis of Rts1p, a B′ Regulatory Subunit of Saccharomyces cerevisiae Protein Phosphatase 2A. Molecular and Cellular Biology. 17(6). 3242–3253. 93 indexed citations
6.
Shu, Youmin & Richard L. Hallberg. (1995). SCS1 , a Multicopy Suppressor of hsp60-ts Mutant Alleles, Does Not Encode a Mitochondrially Targeted Protein. Molecular and Cellular Biology. 15(10). 5618–5626. 32 indexed citations
7.
Claros, M. Gonzalo, Javier Perea, Youmin Shu, et al.. (1995). Limitations to in vivo Import of Hydrophobic Proteins into Yeast Mitochondria. European Journal of Biochemistry. 228(3). 762–771. 133 indexed citations
8.
Claros, M. Gonzalo, Javier Perea, Youmin Shu, et al.. (1995). Limitations to in vivo Import of Hydrophobic Proteins into Yeast Mitochondria. The Case of a Cytoplasmically Synthesized Apocytochrome b. European Journal of Biochemistry. 228(3). 762–771. 17 indexed citations
9.
Hallberg, Elizabeth M., Youmin Shu, & Richard L. Hallberg. (1993). Loss of Mitochondrial hsp60 Function: Nonequivalent Effects on Matrix-Targeted and Intermembrane-Targeted Proteins. Molecular and Cellular Biology. 13(5). 3050–3057. 23 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