Siyuan Wang

8.7k total citations · 3 hit papers
116 papers, 5.5k citations indexed

About

Siyuan Wang is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Siyuan Wang has authored 116 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Molecular Biology, 21 papers in Cancer Research and 16 papers in Genetics. Recurrent topics in Siyuan Wang's work include Advanced biosensing and bioanalysis techniques (18 papers), Genomics and Chromatin Dynamics (16 papers) and RNA Research and Splicing (10 papers). Siyuan Wang is often cited by papers focused on Advanced biosensing and bioanalysis techniques (18 papers), Genomics and Chromatin Dynamics (16 papers) and RNA Research and Splicing (10 papers). Siyuan Wang collaborates with scholars based in China, United States and Japan. Siyuan Wang's co-authors include Xiaowei Zhuang, Jeffrey R. Moffitt, Alistair N. Boettiger, Kok Hao Chen, Brian J. Beliveau, Chao-ting Wu, Bogdan Bintu, Joshua W. Shaevitz, Jun-Han Su and Kerwyn Casey Huang and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Siyuan Wang

102 papers receiving 5.4k citations

Hit Papers

Spatially resolved, highly multiplexed RNA profiling in s... 2015 2026 2018 2022 2015 2016 2016 500 1000 1.5k

Peers

Siyuan Wang
Comparison fields: 5 of 157
  • Molecular Biology 4.3k
  • Biophysics 785
  • Genetics 736
  • Plant Science 496
  • Biomedical Engineering 435
Replace Michael Schleicher with:
Michael Schleicher Germany
Joachim Goedhart Netherlands
Rong Li United States
Florian Mueller France
Ulrich Rothbauer Germany
Yuan Tu United States
Stefan Raunser Germany
Samir M. Hamdan Saudi Arabia
Ghia Euskirchen United States
Arkady F. Fradkov Russia
Michael Schleicher Germany View profile →
Citations per field, relative to Siyuan Wang
Siyuan Wang · 1×
Citations per year, relative to Siyuan Wang
Siyuan Wang · 1×

Countries citing papers authored by Siyuan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Siyuan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siyuan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Siyuan Wang. A scholar is included among the top collaborators of Siyuan Wang 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 Siyuan Wang. Siyuan Wang 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
# Work Indexed citations
1 3
2 5
3 1
4 2
5 3
6 2
7 0
8 5
9 13
10 5
11 3
12 2
13 18
14 164
15 2
16
Spatial organization of chromatin domains and compartments in single chromosomes breakdown →
422
17
Spatially resolved, highly multiplexed RNA profiling in single cells breakdown →
1703
18 266
19 234
20 290

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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