Yingfei Wang

4.8k citations
84 papers · 3.3k · h-index 32

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 7
    • Epigenetics and DNA Methylation 7
    • RNA modifications and cancer 6
    • Mitochondrial Function and Pathology 6
    • Receptor Mechanisms and Signaling 5
    • Cancer, Hypoxia, and Metabolism 12
    • Protease and Inhibitor Mechanisms 6

Yingfei Wang

80 papers receiving 3.3k citations

Peers

Yingfei Wang
Comparison fields: 5 of 121
  • Cancer Research 774
  • Physiology 165
  • Molecular Biology 2.0k
  • Hematology 283
  • Oncology 674
Replace Maria Wartenberg with:
Maria Wartenberg Germany
Walter W. Chen United States
Lei Wei United States
Shujun Liu United States
Zu-Xi Yu United States
Xuefeng Xia China
William J. Pitts United States
Monther Abu-Remaileh United States
Jacques Pouysségur France
Andrea Graziani Italy
Yingfei Wang relative to Maria Wartenberg Germany Maria Wartenberg's profile →
Citations per field
00.5×3.8×
Maria Wartenberg · 1×
Citations per year

Countries citing papers authored by Yingfei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yingfei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011368
2 2009324
3 2019183
4 2020147
5 2007141
6 2020135
7 2018128
8 2007123
9 201897
10 202094
11 200982
12 200977
13 201969
14 202166
15 200655
16 201751
17 200748
18 202346
19 202045
20 202245

About Yingfei Wang

Yingfei Wang is a scholar working on Molecular Biology, Cancer Research, Oncology, Hematology and Cellular and Molecular Neuroscience, having authored 84 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (12 papers), Blood Coagulation and Thrombosis Mechanisms (10 papers), Advanced biosensing and bioanalysis techniques (7 papers), Epigenetics and DNA Methylation (7 papers), RNA modifications and cancer (6 papers), Mitochondrial Function and Pathology (6 papers), Protease and Inhibitor Mechanisms (6 papers) and Receptor Mechanisms and Signaling (5 papers). The work is most often cited by research in Cancer Research (774 citations), Physiology (165 citations), Molecular Biology (2.0k citations), Hematology (283 citations) and Oncology (674 citations). Yingfei Wang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Weibo Luo, Georg Reiser, Valina L. Dawson, Ted M. Dawson, Yijie Wang, Yan Chen, Lei Bao, Hui Peng, Jennifer E. Wang and Karen K David. Their work appears in journals such as Journal of Neurochemistry, Nature Communications, Cellular and Molecular Life Sciences, Cancer Research and Journal of Biological Chemistry.

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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