Xinwei Sher

4.7k total citations
9 papers, 430 citations indexed

About

Xinwei Sher is a scholar working on Molecular Biology, Infectious Diseases and Genetics. According to data from OpenAlex, Xinwei Sher has authored 9 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Infectious Diseases and 3 papers in Genetics. Recurrent topics in Xinwei Sher's work include Bacterial Genetics and Biotechnology (3 papers), Bacteriophages and microbial interactions (2 papers) and Biochemical and Structural Characterization (2 papers). Xinwei Sher is often cited by papers focused on Bacterial Genetics and Biotechnology (3 papers), Bacteriophages and microbial interactions (2 papers) and Biochemical and Structural Characterization (2 papers). Xinwei Sher collaborates with scholars based in United States, Germany and United Kingdom. Xinwei Sher's co-authors include Weilong Zhao, Terry Roemer, Nicholas Murgolo, Paul A. Mann, Amy Flattery, Li Xiao, Renato Alves, Sérgio R. Filipe, Petros Ligoxygakis and Nathalie T. Reichmann and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Molecular Biology and PLoS Pathogens.

In The Last Decade

Xinwei Sher

9 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinwei Sher United States 8 260 149 109 62 48 9 430
Е. А. Семенова Russia 14 247 0.9× 190 1.3× 54 0.5× 89 1.4× 21 0.4× 37 540
Maria Kornienko Russia 13 439 1.7× 117 0.8× 58 0.5× 43 0.7× 17 0.4× 38 680
Yuan‐Chao Lou Taiwan 13 231 0.9× 152 1.0× 55 0.5× 35 0.6× 17 0.4× 33 474
Richard Fish United States 5 265 1.0× 83 0.6× 95 0.9× 26 0.4× 41 0.9× 7 456
Shigeyoshi Harada Japan 17 286 1.1× 404 2.7× 156 1.4× 50 0.8× 72 1.5× 42 706
Vito Di Cioccio Italy 13 199 0.8× 210 1.4× 129 1.2× 87 1.4× 41 0.9× 17 661
Adriaan W. Tuin Netherlands 8 211 0.8× 84 0.6× 63 0.6× 50 0.8× 10 0.2× 14 418
Julien Parra France 9 249 1.0× 140 0.9× 42 0.4× 129 2.1× 62 1.3× 11 453
Ulrike Beutling Germany 11 181 0.7× 64 0.4× 41 0.4× 106 1.7× 43 0.9× 19 415
Abhishek Vartak United States 7 190 0.7× 86 0.6× 141 1.3× 63 1.0× 49 1.0× 10 352

Countries citing papers authored by Xinwei Sher

Since Specialization
Citations

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

Fields of papers citing papers by Xinwei Sher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinwei Sher

This figure shows the co-authorship network connecting the top 25 collaborators of Xinwei Sher. A scholar is included among the top collaborators of Xinwei Sher 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 Xinwei Sher. Xinwei Sher 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.
Zhao, Weilong & Xinwei Sher. (2018). Systematically benchmarking peptide-MHC binding predictors: From synthetic to naturally processed epitopes. PLoS Computational Biology. 14(11). e1006457–e1006457. 117 indexed citations
2.
Seiwert, Tanguy Y., Răzvan Cristescu, Robin Mogg, et al.. (2018). Genomic biomarkers in relation to PD-1 checkpoint blockade response.. Journal of Clinical Oncology. 36(5_suppl). 25–25. 4 indexed citations
3.
Walker, Scott S., David Degen, Elliott Nickbarg, et al.. (2017). Affinity Selection–Mass Spectrometry Identifies a Novel Antibacterial RNA Polymerase Inhibitor. ACS Chemical Biology. 12(5). 1346–1352. 14 indexed citations
4.
Wang, Hao, Paul A. Mann, Li Xiao, et al.. (2017). Dual-Targeting Small-Molecule Inhibitors of the Staphylococcus aureus FMN Riboswitch Disrupt Riboflavin Homeostasis in an Infectious Setting. Cell chemical biology. 24(5). 576–588.e6. 72 indexed citations
5.
Hernandez, Lorraine D., Heather K. Kroh, Edward J. Hsieh, et al.. (2017). Epitopes and Mechanism of Action of the Clostridium difficile Toxin A-Neutralizing Antibody Actoxumab. Journal of Molecular Biology. 429(7). 1030–1044. 33 indexed citations
6.
Müller, Anna, Fabian Grein, Andreas Otto, et al.. (2017). Differential daptomycin resistance development in Staphylococcus aureus strains with active and mutated gra regulatory systems. International Journal of Medical Microbiology. 308(3). 335–348. 36 indexed citations
7.
Cristescu, Răzvan, Robin Mogg, Mark Ayers, et al.. (2017). Mutational load (ML) and T-cell-inflamed microenvironment as predictors of response to pembrolizumab.. Journal of Clinical Oncology. 35(7_suppl). 1–1. 12 indexed citations
8.
Reed, Patricia, Magda L. Atilano, Renato Alves, et al.. (2015). Staphylococcus aureus Survives with a Minimal Peptidoglycan Synthesis Machine but Sacrifices Virulence and Antibiotic Resistance. PLoS Pathogens. 11(5). e1004891–e1004891. 77 indexed citations
9.
Mann, Paul A., Catherine A. McLellan, Sandra Koseoglu, et al.. (2014). Chemical Genomics-Based Antifungal Drug Discovery: Targeting Glycosylphosphatidylinositol (GPI) Precursor Biosynthesis. ACS Infectious Diseases. 1(1). 59–72. 65 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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