Shuye Wang

831 citations
30 papers · 446 · h-index 13

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
  • Spectroscopy top 10%
    • Analytical Chemistry and Chromatography
    • Mass Spectrometry Techniques and Applications

Papers in

Shuye Wang

30 papers receiving 444 citations

Peers

Shuye Wang
Comparison fields: 5 of 73
  • Hematology 102
  • Spectroscopy 102
  • Biochemistry 31
  • Molecular Biology 210
  • Biomedical Engineering 110
Replace Oliver Pagel with:
Oliver Pagel Germany
Jin Ju Kim South Korea
Julien Delobel Switzerland
Kenneth Lau United States
Cristina Matteo Italy
Girija Ramaswamy India
Jingning Liu China
Go Urabe United States
Masaharu Aritomi Japan
A. Hitz Germany
Shuye Wang relative to Oliver Pagel Germany Oliver Pagel's profile →
Citations per field
00.5×5.8×
Oliver Pagel · 1×
Citations per year

Countries citing papers authored by Shuye Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shuye Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shuye 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 Shuye Wang Line = papers co-authored together Shuye 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 200987
2 201241
3 201033
4 201232
5 201226
6 201725
7 202123
8 201318
9 201716
10 201415
11 201215
12 201915
13 201512
14 201911
15 201411
16 201211
17 201610
18 201810
19 20227
20 20134

About Shuye Wang

Shuye Wang is a scholar working on Molecular Biology, Hematology, Spectroscopy, Biomedical Engineering and Immunology, having authored 30 papers that have together received 446 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (6 papers), Innovative Microfluidic and Catalytic Techniques Innovation (6 papers), Retinoids in leukemia and cellular processes (5 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers), Acute Myeloid Leukemia Research (4 papers), Antioxidant Activity and Oxidative Stress (3 papers), NF-κB Signaling Pathways (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (102 citations), Spectroscopy (102 citations), Biochemistry (31 citations), Molecular Biology (210 citations) and Biomedical Engineering (110 citations). Shuye Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jian Tang, Weihua Tang, Jie Zhou, Yun Dai, Xiaoxia Li, Jinxiao Hou, Shengjin Fan, Jin Zhou, Limin Li and Xueying Han. Their work appears in journals such as Bioscience Reports, Blood, RSC Advances, Oncotarget and Journal of Chromatography A.

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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