Wanting Su

504 citations
38 papers · 384 · h-index 10

Impact in

    • Immune Cell Function and Interaction
    • Galectins and Cancer Biology
    • Immune cells in cancer
    • Cancer Immunotherapy and Biomarkers

Papers in

Wanting Su

32 papers receiving 382 citations

Peers

Wanting Su
Comparison fields: 5 of 65
  • Immunology 117
  • Oncology 102
  • Catalysis 19
  • Electronic, Optical and Magnetic Materials 43
  • Biomedical Engineering 79
Replace Yi Luan with:
Yi Luan United States
Yezhou Li China
Jieyi Ye China
Xianhao Liu China
Hongli Wang China
Luwei Li China
Yuchen Yan China
Yu‐Cheng Chin Taiwan
Shaojun Peng China
Suchitra Prasad India
Wanting Su relative to Yi Luan United States Yi Luan's profile →
Citations per field
00.5×3.8×
Yi Luan · 1×
Citations per year

Countries citing papers authored by Wanting Su

Since Specialization
Citations

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

Fields of papers citing papers by Wanting Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wanting Su, 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 Wanting Su Line = papers co-authored together Wanting Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015137
2 202338
3 201837
4 202420
5 202418
6 202211
7 201910
8 201810
9 201910
10 20239
11 20239
12 20228
13 20238
14 20247
15 20237
16 20247
17 20256
18 20246
19 20235
20 20123

About Wanting Su

Wanting Su is a scholar working on Materials Chemistry, Biomedical Engineering, Organic Chemistry, Molecular Biology and Catalysis, having authored 38 papers that have together received 384 indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (7 papers), Nanomaterials for catalytic reactions (6 papers), Catalysis and Oxidation Reactions (5 papers), Adsorption and biosorption for pollutant removal (3 papers), Catalysts for Methane Reforming (3 papers), Advanced Chemical Sensor Technologies (3 papers), Supercapacitor Materials and Fabrication (3 papers) and Advanced Photocatalysis Techniques (2 papers). The work is most often cited by research in Immunology (117 citations), Oncology (102 citations), Catalysis (19 citations), Electronic, Optical and Magnetic Materials (43 citations) and Biomedical Engineering (79 citations). Wanting Su has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Penghui Li, Wenjuan Wu, Ching‐Tai Huang, Yung‐Chang Lin, Chun‐Yen Lin, Avijit Dutta, Jy‐Ming Chiang, Chiao-Wen Kang, Yu‐Yi Chu and Li-Yuan Chang. Their work appears in journals such as International Journal of Biological Macromolecules, Fuel, BMC Cardiovascular Disorders, Inorganica Chimica Acta and Biomedical Materials.

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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