Zhangli Su

2.1k total citations
33 papers, 1.3k citations indexed

About

Zhangli Su is a scholar working on Molecular Biology, Cancer Research and Ecology. According to data from OpenAlex, Zhangli Su has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 13 papers in Cancer Research and 6 papers in Ecology. Recurrent topics in Zhangli Su's work include RNA modifications and cancer (13 papers), RNA and protein synthesis mechanisms (10 papers) and Cancer-related molecular mechanisms research (9 papers). Zhangli Su is often cited by papers focused on RNA modifications and cancer (13 papers), RNA and protein synthesis mechanisms (10 papers) and Cancer-related molecular mechanisms research (9 papers). Zhangli Su collaborates with scholars based in United States, France and Georgia. Zhangli Su's co-authors include Anindya Dutta, Pankaj Kumar, Canan Kuscu, Asrar Ahmad Malik, Briana Wilson, Manjari Kiran, Fengbin Wang, Etsuko Shibata, John M. Denu and Edward H. Egelman and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Zhangli Su

32 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhangli Su United States 19 1.1k 514 138 73 71 33 1.3k
Colleen A. McHugh United States 9 1.1k 1.0× 589 1.1× 89 0.6× 216 3.0× 74 1.0× 19 1.4k
Angela Thistlethwaite United Kingdom 14 862 0.8× 150 0.3× 69 0.5× 142 1.9× 55 0.8× 22 1.0k
Eckart Bindewald United States 24 1.6k 1.4× 138 0.3× 263 1.9× 65 0.9× 25 0.4× 42 1.8k
Tobias Gustavsson Denmark 12 370 0.3× 75 0.1× 40 0.3× 23 0.3× 21 0.3× 31 700
Karen Bunting United Kingdom 17 708 0.6× 119 0.2× 44 0.3× 206 2.8× 60 0.8× 26 1.2k
Yuan He United States 20 1.6k 1.4× 76 0.1× 58 0.4× 154 2.1× 120 1.7× 43 1.9k
Deog Su Hwang South Korea 23 1.3k 1.1× 95 0.2× 84 0.6× 501 6.9× 88 1.2× 40 1.5k
Michaela Wagner Germany 20 721 0.6× 49 0.1× 133 1.0× 222 3.0× 36 0.5× 35 1.1k
Silke Hennecke Switzerland 12 1.1k 1.0× 35 0.1× 60 0.4× 102 1.4× 101 1.4× 12 1.8k
Patricia K. Lankford United States 13 471 0.4× 26 0.1× 63 0.5× 49 0.7× 125 1.8× 21 744

Countries citing papers authored by Zhangli Su

Since Specialization
Citations

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

Fields of papers citing papers by Zhangli Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhangli Su

This figure shows the co-authorship network connecting the top 25 collaborators of Zhangli Su. A scholar is included among the top collaborators of Zhangli Su 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 Zhangli Su. Zhangli Su 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.
Liu, Xi-Sheng, et al.. (2025). The Secret Life of N1-methyladenosine: A Review on its Regulatory Functions. Journal of Molecular Biology. 437(16). 169099–169099. 1 indexed citations
2.
Wang, Zhenjia, Zhangli Su, Etsuko Shibata, et al.. (2024). Integrative analysis of DNA replication origins and ORC-/MCM-binding sites in human cells reveals a lack of overlap. eLife. 12. 3 indexed citations
3.
Luna, Luisa, Anna Lång, Stig Ove Bøe, et al.. (2024). Depletion of the m1A writer TRMT6/TRMT61A reduces proliferation and resistance against cellular stress in bladder cancer. Frontiers in Oncology. 13. 1334112–1334112. 11 indexed citations
4.
Wang, Zhenjia, Zhangli Su, Etsuko Shibata, et al.. (2023). Integrative analysis of DNA replication origins and ORC-/MCM-binding sites in human cells reveals a lack of overlap. eLife. 12. 15 indexed citations
5.
Wilson, Briana, Zhangli Su, Pankaj Kumar, & Anindya Dutta. (2023). XRN2 suppresses aberrant entry of tRNA trailers into argonaute in humans and Arabidopsis. PLoS Genetics. 19(5). e1010755–e1010755. 3 indexed citations
6.
Wilson, Briana, et al.. (2022). tRForest: a novel random forest-based algorithm for tRNA-derived fragment target prediction. NAR Genomics and Bioinformatics. 4(2). lqac037–lqac037. 5 indexed citations
7.
Wang, Fengbin, Zhangli Su, Virginija Cvirkaitė‐Krupovič, et al.. (2022). DeepTracer-ID: De novo protein identification from cryo-EM maps. Biophysical Journal. 121(15). 2840–2848. 29 indexed citations
8.
Su, Zhangli, et al.. (2022). Characterization of novel small non-coding RNAs and their modifications in bladder cancer using an updated small RNA-seq workflow. Frontiers in Molecular Biosciences. 9. 887686–887686. 9 indexed citations
9.
Wang, Fengbin, Leticia C. Beltrán, Chunfu Xu, et al.. (2021). Structural analysis of cross α-helical nanotubes provides insight into the designability of filamentous peptide nanomaterials. Nature Communications. 12(1). 407–407. 46 indexed citations
10.
Su, Zhangli, Shekhar Saha, Teressa Paulsen, Pankaj Kumar, & Anindya Dutta. (2021). ATAC-Seq-based Identification of Extrachromosomal Circular DNA in Mammalian Cells and Its Validation Using Inverse PCR and FISH. BIO-PROTOCOL. 11(9). e4003–e4003. 13 indexed citations
11.
Su, Zhangli, et al.. (2020). tRNA-derived fragments and microRNAs in the maternal-fetal interface of a mouse maternal-immune-activation autism model. RNA Biology. 17(8). 1183–1195. 35 indexed citations
12.
Wang, Fengbin, Diana P. Baquero, Leticia C. Beltrán, et al.. (2020). Structures of filamentous viruses infecting hyperthermophilic archaea explain DNA stabilization in extreme environments. Proceedings of the National Academy of Sciences. 117(33). 19643–19652. 21 indexed citations
13.
Chatrath, Ajay, Shashi Kiran, Zhangli Su, et al.. (2020). The pan-cancer landscape of prognostic germline variants in 10,582 patients. Genome Medicine. 12(1). 15–15. 23 indexed citations
14.
Wang, Fengbin, Diana P. Baquero, Zhangli Su, et al.. (2020). The structures of two archaeal type IV pili illuminate evolutionary relationships. Nature Communications. 11(1). 3424–3424. 28 indexed citations
15.
Wang, Fengbin, Virginija Cvirkaitė‐Krupovič, Mark A. B. Kreutzberger, et al.. (2019). An extensively glycosylated archaeal pilus survives extreme conditions. Nature Microbiology. 4(8). 1401–1410. 40 indexed citations
16.
Su, Zhangli, Canan Kuscu, Asrar Ahmad Malik, Etsuko Shibata, & Anindya Dutta. (2019). Angiogenin generates specific stress-induced tRNA halves and is not involved in tRF-3–mediated gene silencing. Journal of Biological Chemistry. 294(45). 16930–16941. 114 indexed citations
17.
Kuscu, Canan, Pankaj Kumar, Manjari Kiran, et al.. (2018). tRNA fragments (tRFs) guide Ago to regulate gene expression post-transcriptionally in a Dicer-independent manner. RNA. 24(8). 1093–1105. 292 indexed citations
18.
Su, Zhangli, Fengbin Wang, Jin Hee Lee, et al.. (2016). Reader domain specificity and lysine demethylase-4 family function. Nature Communications. 7(1). 13387–13387. 38 indexed citations
19.
20.
Su, Zhangli, Melissa Boersma, Jinhee Lee, et al.. (2014). ChIP-less analysis of chromatin states. Epigenetics & Chromatin. 7(1). 7–7. 20 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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