Su Wang

685 citations
29 papers · 562 · 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

24 papers receiving 492 citations

Peers

Su Wang
Comparison fields: 5 of 99
  • Organic Chemistry 262
  • Spectroscopy 142
  • Applied Psychology 33
  • Pharmacology 47
  • Sociology and Political Science 159
Replace Kathy T. Do with:
Kathy T. Do United States
Jiaqi Wang China
Yuta Kawamura Japan
Andreas Schneider Germany
Cecilia I. Calero Argentina
Rachel Dixon United Kingdom
Ralph R. Roberts United States
Christopher James May United States
Jakub Dostál Czechia
Trisha L. Vickrey United States
Su Wang relative to Kathy T. Do United States Kathy T. Do's profile →
Citations per field
00.5×2×4×5.2×
Kathy T. Do · 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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013241
2 2013173
3 202434
4 201930
5 20218
6 20158
7 20178
8 20148
9 20187
10 20216
11 19915
12
Point Kinetic Equation of ADS Sub-critical Reactor
20114
13 20244
14 20184
15 20234
16 20113
17 20243
18 20232
19 20212
20 20232

About Su Wang

Su Wang is a scholar working on Cellular and Molecular Neuroscience, Control and Systems Engineering, Aerospace Engineering, Industrial and Manufacturing Engineering and Insect Science, having authored 29 papers that have together received 562 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (6 papers), Insect-Plant Interactions and Control (2 papers), Insect Resistance and Genetics (2 papers), Cellular transport and secretion (2 papers), Advanced Algorithms and Applications (1 paper), Iterative Learning Control Systems (1 paper), Electrocatalysts for Energy Conversion (1 paper) and Intermetallics and Advanced Alloy Properties (1 paper). The work is most often cited by research in Organic Chemistry (262 citations), Spectroscopy (142 citations), Applied Psychology (33 citations), Pharmacology (47 citations) and Sociology and Political Science (159 citations). Su Wang has collaborated with scholars based in China, United States and France. Frequent co-authors include Huanhuan Li, Scott C. Virgil, Vikram Bhat, Brian M. Stoltz, Rui Huang, Hui Cun Shen, Mengfei Qiao, Qingyuan Wu, Ruixuan Qin and Nanfeng Zheng. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, iScience, Journal of the American Chemical Society, eLife and Cellular and Molecular Life Sciences.

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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