Sheng Sun

7.8k total citations
97 papers, 3.1k citations indexed

About

Sheng Sun is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Sheng Sun has authored 97 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 47 papers in Epidemiology and 37 papers in Cell Biology. Recurrent topics in Sheng Sun's work include Fungal Infections and Studies (41 papers), Plant Pathogens and Fungal Diseases (32 papers) and Yeasts and Rust Fungi Studies (29 papers). Sheng Sun is often cited by papers focused on Fungal Infections and Studies (41 papers), Plant Pathogens and Fungal Diseases (32 papers) and Yeasts and Rust Fungi Studies (29 papers). Sheng Sun collaborates with scholars based in United States, China and Canada. Sheng Sun's co-authors include Joseph Heitman, Jianping Xu, Marianna Feretzaki, Xuying Wang, Min Ni, Timothy Y. James, R. Blake Billmyre, Marco A. Coelho, Anuradha Chowdhary and Vikas Yadav and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Sheng Sun

89 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sheng Sun United States 32 1.6k 1.0k 1.0k 758 562 97 3.1k
Manja Marz Germany 35 2.7k 1.8× 675 0.7× 401 0.4× 137 0.2× 587 1.0× 122 4.5k
Walter Pirovano Netherlands 17 2.2k 1.4× 1.1k 1.0× 267 0.3× 244 0.3× 205 0.4× 40 3.7k
Marten Boetzer Netherlands 8 1.8k 1.2× 930 0.9× 248 0.2× 223 0.3× 172 0.3× 8 3.0k
Hans J. Jansen Netherlands 25 1.8k 1.2× 695 0.7× 179 0.2× 349 0.5× 144 0.3× 78 3.4k
Jozef Nosek Slovakia 27 1.6k 1.0× 501 0.5× 397 0.4× 176 0.2× 501 0.9× 107 2.3k
Daniel Aird United States 7 1.7k 1.1× 556 0.5× 824 0.8× 96 0.1× 275 0.5× 9 2.9k
Martine Raymond Canada 30 1.3k 0.9× 512 0.5× 992 1.0× 161 0.2× 1.3k 2.4× 43 3.2k
Carole Dossat France 23 1.3k 0.8× 749 0.7× 333 0.3× 113 0.1× 261 0.5× 31 2.6k
Shaoping Weng China 47 1.9k 1.2× 227 0.2× 368 0.4× 286 0.4× 406 0.7× 307 8.1k
Fu Lu United States 3 2.1k 1.3× 1.1k 1.1× 181 0.2× 139 0.2× 207 0.4× 4 3.3k

Countries citing papers authored by Sheng Sun

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Sun

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

All Works

20 of 20 papers shown
1.
Xu, Ziyan, Arend F. van Peer, Tim A. Dahlmann, et al.. (2025). Essential genes encoded by the mating-type locus of the human fungal pathogen Cryptococcus neoformans. mBio. 16(4). e0022325–e0022325.
2.
Sun, Sheng, et al.. (2025). STRIPAK complex defects result in pseudosexual reproduction in Cryptococcus neoformans. PLoS Genetics. 21(6). e1011774–e1011774. 1 indexed citations
3.
4.
Coelho, Marco A., Terrance Shea, Arman W. Mohammad, et al.. (2024). Comparative genomics of the closely related fungal genera Cryptococcus and Kwoniella reveals karyotype dynamics and suggests evolutionary mechanisms of pathogenesis. PLoS Biology. 22(6). e3002682–e3002682. 4 indexed citations
5.
Spasojević, Ivan, Sheng Sun, Anna Floyd Averette, et al.. (2023). Enhanced fungal specificity and in vivo therapeutic efficacy of a C-22-modified FK520 analog against C. neoformans. mBio. 14(5). e0181023–e0181023. 3 indexed citations
6.
Sun, Sheng, Cullen Roth, Anna Floyd Averette, Paul M. Magwene, & Joseph Heitman. (2022). Epistatic genetic interactions govern morphogenesis during sexual reproduction and infection in a global human fungal pathogen. Proceedings of the National Academy of Sciences. 119(8). 6 indexed citations
7.
Clancey, Shelly Applen, Terrance Shea, Anna Floyd Averette, et al.. (2022). Obligate sexual reproduction of a homothallic fungus closely related to the Cryptococcus pathogenic species complex. eLife. 11. 6 indexed citations
8.
9.
Boekhout, Teun, M. Catherine Aime, Dominik Begerow, et al.. (2021). The evolving species concepts used for yeasts: from phenotypes and genomes to speciation networks. Fungal Diversity. 109(1). 27–55. 39 indexed citations
10.
Coelho, Marco A., Verónica Mixão, Shelly Applen Clancey, et al.. (2021). Factors enforcing the species boundary between the human pathogens Cryptococcus neoformans and Cryptococcus deneoformans. PLoS Genetics. 17(1). e1008871–e1008871. 15 indexed citations
11.
Yadav, Vikas, Sheng Sun, Marco A. Coelho, & Joseph Heitman. (2020). Centromere scission drives chromosome shuffling and reproductive isolation. Proceedings of the National Academy of Sciences. 117(14). 7917–7928. 44 indexed citations
12.
Gusa, Asiya, Jonathan Williams, Jang-Eun Cho, et al.. (2020). Transposon mobilization in the human fungal pathogen Cryptococcus is mutagenic during infection and promotes drug resistance in vitro. Proceedings of the National Academy of Sciences. 117(18). 9973–9980. 39 indexed citations
13.
Fan, Song, Tian Tian, Weixiong Chen, et al.. (2019). Mitochondrial miRNA Determines Chemoresistance by Reprogramming Metabolism and Regulating Mitochondrial Transcription. Cancer Research. 79(6). 1069–1084. 116 indexed citations
14.
Tian, Tian, Xiaobin Lv, Guokai Pan, et al.. (2019). Long Noncoding RNA MPRL Promotes Mitochondrial Fission and Cisplatin Chemosensitivity via Disruption of Pre-miRNA Processing. Clinical Cancer Research. 25(12). 3673–3688. 60 indexed citations
15.
Coelho, Marco A., Minou Nowrousian, Moritz Mittelbach, et al.. (2019). Genetic and Genomic Analyses Reveal Boundaries between Species Closely Related to Cryptococcus Pathogens. mBio. 10(3). 34 indexed citations
16.
Roth, Cullen, Sheng Sun, R. Blake Billmyre, Joseph Heitman, & Paul M. Magwene. (2018). A High-Resolution Map of Meiotic Recombination in Cryptococcus deneoformans Demonstrates Decreased Recombination in Unisexual Reproduction. Genetics. 209(2). 567–578. 26 indexed citations
17.
Chen, Lin, et al.. (2018). Complete Genome Sequence of Lactobacillus reuteri WHH1689, Isolated from Traditional Chinese Highland Barley Wine. Genome Announcements. 6(23). 1 indexed citations
18.
Yadav, Vikas, Sheng Sun, R. Blake Billmyre, et al.. (2018). RNAi is a critical determinant of centromere evolution in closely related fungi. Proceedings of the National Academy of Sciences. 115(12). 3108–3113. 79 indexed citations
19.
Desjardins, Christopher A., Charles Giamberardino, Sean M. Sykes, et al.. (2017). Population genomics and the evolution of virulence in the fungal pathogen Cryptococcus neoformans. Genome Research. 27(7). 1207–1219. 103 indexed citations
20.
Sun, Sheng, et al.. (2006). Pilot Study of Proteomic Changes of Cardiomyocyte Induced by Hypoxia Preconditioning. 64(6). 543–550. 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.

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