Yunjun Wang

2.1k citations
47 papers · 1.5k indexed · 1 hit paper · h-index 17

Impact in

Papers in

Yunjun Wang

45 papers receiving 1.4k citations

Hit Papers

HIF-1α drives resistance to ferroptosis in solid tumors by promoting lactate production and activating SLC1A1 2023 · 127 citations
12720232026202420254080120

Peers

Yunjun Wang
Comparison fields: 5 of 133
  • Health Informatics 49
  • Spectroscopy 260
  • Endocrinology, Diabetes and Metabolism 223
  • Radiology, Nuclear Medicine and Imaging 258
  • Molecular Biology 727
Replace Lingyun Huang with:
Lingyun Huang China
Simone Brandt Switzerland
Jesse G. Meyer United States
Tiannan Guo China
A. Seetharama Acharya United States
Laura M. Heiser United States
Anjun Chen China
Kuang‐Yu Jen United States
Wanshan Ning China
Yunjun Wang relative to Lingyun Huang China Lingyun Huang's profile →
Citations per field
00.5×7.0×
Lingyun Huang · 1×
Citations per year

Countries citing papers authored by Yunjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yunjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20241
3 20241
4 20243
5 20243
6 20243
7 20241
8 201917
9 201918
10 201942
11 201911
12 201916
13 2019191
14 201960
15 20183
16 201865
17 201414
18 200410
19 2002361
20 200116

About Yunjun Wang

Yunjun Wang is a scholar working on Endocrinology, Diabetes and Metabolism, Anatomy, Spectroscopy, Cancer Research and Pulmonary and Respiratory Medicine, having authored 47 papers that have together received 1.5k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (17 papers), Thyroid and Parathyroid Surgery (7 papers), Protein Structure and Dynamics (6 papers), Ferroptosis and cancer prognosis (5 papers), Mass Spectrometry Techniques and Applications (5 papers), Enzyme Structure and Function (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Health Informatics (49 citations), Spectroscopy (260 citations), Endocrinology, Diabetes and Metabolism (223 citations), Radiology, Nuclear Medicine and Imaging (258 citations) and Molecular Biology (727 citations). Yunjun Wang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Oleg Jardetzky, Jun Xiang, Qing Guan, Duanshu Li, Hongtao Lu, David S. Wishart, Jiajun Du, Qin Yu, Xiaochun Wan and Bo Ping. Their work appears in journals such as Journal of Biomolecular NMR, Annals of Translational Medicine, Analytical Chemistry, Protein Science and Journal of Cancer.

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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