Yiming Tang

1.6k total citations
54 papers, 1.3k citations indexed

About

Yiming Tang is a scholar working on Molecular Biology, Biomaterials and Organic Chemistry. According to data from OpenAlex, Yiming Tang has authored 54 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 25 papers in Biomaterials and 16 papers in Organic Chemistry. Recurrent topics in Yiming Tang's work include Supramolecular Self-Assembly in Materials (23 papers), Polydiacetylene-based materials and applications (13 papers) and Alzheimer's disease research and treatments (10 papers). Yiming Tang is often cited by papers focused on Supramolecular Self-Assembly in Materials (23 papers), Polydiacetylene-based materials and applications (13 papers) and Alzheimer's disease research and treatments (10 papers). Yiming Tang collaborates with scholars based in China, Israel and United States. Yiming Tang's co-authors include Guanghong Wei, Yifei Yao, Ehud Gazit, Yujie Chen, Zenghui Lao, Chendi Zhan, Priyadarshi Chakraborty, Xuewei Dong, Tom Guterman and Santu Bera and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Yiming Tang

49 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
Yiming Tang China 23 628 507 311 258 170 54 1.3k
Karunakar Kar India 26 1.1k 1.8× 693 1.4× 538 1.7× 98 0.4× 285 1.7× 53 2.0k
Sara M. Butterfield Switzerland 17 906 1.4× 250 0.5× 408 1.3× 295 1.1× 171 1.0× 21 1.3k
Francesca Peccati Spain 18 445 0.7× 125 0.2× 179 0.6× 333 1.3× 243 1.4× 59 1.2k
Minna Groenning Denmark 17 1.2k 1.9× 306 0.6× 963 3.1× 116 0.4× 295 1.7× 24 1.9k
А. А. Маскевич Belarus 12 748 1.2× 162 0.3× 553 1.8× 229 0.9× 325 1.9× 36 1.5k
Shira Shaham‐Niv Israel 17 624 1.0× 531 1.0× 309 1.0× 266 1.0× 296 1.7× 24 1.3k
Tae Su Choi South Korea 15 391 0.6× 178 0.4× 240 0.8× 183 0.7× 123 0.7× 27 845
Anna I. Sulatskaya Russia 20 848 1.4× 129 0.3× 703 2.3× 101 0.4× 238 1.4× 62 1.5k
Wenhui Xi China 17 652 1.0× 263 0.5× 319 1.0× 136 0.5× 230 1.4× 37 1.0k
Yujie Chen China 19 721 1.1× 134 0.3× 403 1.3× 56 0.2× 202 1.2× 48 1.3k

Countries citing papers authored by Yiming Tang

Since Specialization
Citations

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

Fields of papers citing papers by Yiming Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiming Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Yiming Tang. A scholar is included among the top collaborators of Yiming Tang 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 Yiming Tang. Yiming Tang 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.
Tang, Yiming, Yifei Yao, Xuewei Dong, et al.. (2025). Dissecting the Molecular Determinants of α‐synuclein Phase Separation and Condensate Aging: The Pivotal Role of β‐Sheet‐Rich Motifs. Advanced Science. 12(44). e11545–e11545.
2.
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Arnon, Zohar A., Yiming Tang, Yun Zhou, et al.. (2025). Effect of solvent-induced packing transitions on N-capped diphenylalanine peptide crystal growth. Nature Communications. 16(1). 6106–6106.
4.
Tang, Yiming, et al.. (2024). Multiscale simulations reveal the driving forces of p53C phase separation accelerated by oncogenic mutations. Chemical Science. 15(32). 12806–12818. 6 indexed citations
5.
Lao, Zenghui, Yiming Tang, Xuewei Dong, et al.. (2024). Elucidating the reversible and irreversible self-assembly mechanisms of low-complexity aromatic-rich kinked peptides and steric zipper peptides. Nanoscale. 16(8). 4025–4038. 7 indexed citations
6.
Yao, Yifei, et al.. (2023). EGCG attenuates α-synuclein protofibril-membrane interactions and disrupts the protofibril. International Journal of Biological Macromolecules. 230. 123194–123194. 26 indexed citations
7.
Chen, Yujie, et al.. (2022). Atomistic Insights into A315E Mutation-Enhanced Pathogenicity of TDP-43 Core Fibrils. ACS Chemical Neuroscience. 13(18). 2743–2754. 8 indexed citations
8.
Yao, Yifei, et al.. (2022). Baicalein exhibits differential effects and mechanisms towards disruption of α-synuclein fibrils with different polymorphs. International Journal of Biological Macromolecules. 220. 316–325. 23 indexed citations
9.
Dong, Xuewei, Santu Bera, Qin Qiao, et al.. (2021). Liquid–Liquid Phase Separation of Tau Protein Is Encoded at the Monomeric Level. The Journal of Physical Chemistry Letters. 12(10). 2576–2586. 56 indexed citations
10.
Ji, Wei, Yiming Tang, Pandeeswar Makam, et al.. (2021). Expanding the Structural Diversity and Functional Scope of Diphenylalanine-Based Peptide Architectures by Hierarchical Coassembly. Journal of the American Chemical Society. 143(42). 17633–17645. 85 indexed citations
11.
Chakraborty, Priyadarshi, Hadas Oved, Darya Bychenko, et al.. (2021). Nanoengineered Peptide‐Based Antimicrobial Conductive Supramolecular Biomaterial for Cardiac Tissue Engineering. Advanced Materials. 33(26). e2008715–e2008715. 117 indexed citations
12.
Tang, Yiming, Yifei Yao, & Guanghong Wei. (2020). Expanding the structural diversity of peptide assemblies by coassembling dipeptides with diphenylalanine. Nanoscale. 12(5). 3038–3049. 15 indexed citations
13.
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Chakraborty, Priyadarshi, Yiming Tang, Tomoya Yamamoto, et al.. (2020). Unusual Two‐Step Assembly of a Minimalistic Dipeptide‐Based Functional Hypergelator. Advanced Materials. 32(9). e1906043–e1906043. 87 indexed citations
15.
Wang, Hongqing, Qian Xu, Zhihua Liu, et al.. (2019). Gate-Controlled Sum-Frequency Vibrational Spectroscopy for Probing Charged Oxide/Water Interfaces. The Journal of Physical Chemistry Letters. 10(19). 5943–5948. 24 indexed citations
16.
Basavalingappa, Vasantha, Santu Bera, Bin Xue, et al.. (2019). Mechanically rigid supramolecular assemblies formed from an Fmoc-guanine conjugated peptide nucleic acid. Nature Communications. 10(1). 5256–5256. 29 indexed citations
17.
Bera, Santu, Sudipta Mondal, Yiming Tang, et al.. (2019). Deciphering the Rules for Amino Acid Co-Assembly Based on Interlayer Distances. ACS Nano. 13(2). 1703–1712. 32 indexed citations
18.
Tang, Yiming, Alfarius Eko Nugroho, Yusuke Hirasawa, et al.. (2019). Leucophyllinines A and B, bisindole alkaloids from Leuconotis eugeniifolia. Journal of Natural Medicines. 73(3). 533–540. 20 indexed citations
19.
Tang, Yiming & Guanghong Wei. (2018). Dissecting the Structural Mechanism of a Naturally Occuring Variant of the Prion Protein in Preventing Prion Disease. Biophysical Journal. 114(3). 234a–234a. 1 indexed citations
20.
Nugroho, Alfarius Eko, Wenjia Zhang, Yusuke Hirasawa, et al.. (2018). Bisleuconothines B–D, Modified Eburnane–Aspidosperma Bisindole Alkaloids from Leuconotis griffithii. Journal of Natural Products. 81(11). 2600–2604. 26 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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