Su Wang

668 citations
30 papers · 537 · h-index 8

Impact in

    • Axial and Atropisomeric Chirality Synthesis
    • Asymmetric Synthesis and Catalysis
    • Catalytic C–H Functionalization Methods
  • Spectroscopy top 10%
    • Molecular spectroscopy and chirality

Papers in

Su Wang

25 papers receiving 518 citations

Peers

Su Wang
Comparison fields: 5 of 97
  • Organic Chemistry 247
  • Spectroscopy 134
  • Applied Psychology 32
  • Pharmacology 42
  • Sociology and Political Science 156
Replace Jiaqi Wang with:
Jiaqi Wang China
Yuta Kawamura Japan
Nicola Knight United Kingdom
Andreas Schneider Germany
Ralph R. Roberts United States
Cecilia I. Calero Argentina
Trisha L. Vickrey United States
Christopher J. May United States
Kathleen J. Marshall United States
Su Wang relative to Jiaqi Wang China Jiaqi Wang's profile →
Citations per field
00.5×10×14×
Jiaqi Wang · 1×
Citations per year

Countries citing papers authored by Su Wang

Since Specialization
Citations

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

Fields of papers citing papers by Su Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Su Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Su Wang Line = papers co-authored together Su Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013232
2 2013169
3 201930
4 202423
5 20148
6 20178
7 20217
8 20157
9 20186
10 20245
11 19915
12 20215
13
Point Kinetic Equation of ADS Sub-critical Reactor
20114
14 20234
15 20184
16 20243
17 20243
18 20113
19 20232
20 20132

About Su Wang

Su Wang is a scholar working on Cellular and Molecular Neuroscience, Control and Systems Engineering, Molecular Biology, Aerospace Engineering and Organic Chemistry, having authored 30 papers that have together received 537 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (5 papers), Insect Resistance and Genetics (2 papers), Cellular transport and secretion (2 papers), Ammonia Synthesis and Nitrogen Reduction (2 papers), Nanomaterials for catalytic reactions (2 papers), Power Systems and Renewable Energy (2 papers), Insect-Plant Interactions and Control (2 papers) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Organic Chemistry (247 citations), Spectroscopy (134 citations), Applied Psychology (32 citations), Pharmacology (42 citations) and Sociology and Political Science (156 citations). Su Wang has collaborated with scholars based in China, United States and Mongolia. Frequent co-authors include Huanhuan Li, Scott C. Virgil, Vikram Bhat, Brian M. Stoltz, Xu Chen, Nanfeng Zheng, Lian‐Sheng Zang, Rui Huang, Nicolas Desneux and Fan Zhang. Their work appears in journals such as Biology Open, Frontiers in Psychology, Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, Acta Mechanica Sinica and Insect Science.

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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