Pan Yu

627 citations
31 papers · 480 · h-index 14

Impact in

Papers in

Pan Yu

28 papers receiving 475 citations

Peers

Pan Yu
Comparison fields: 5 of 98
  • Developmental Neuroscience 76
  • Surgery 208
  • Water Science and Technology 46
  • Endocrinology, Diabetes and Metabolism 48
  • Physiology 60
Replace Bin Yan with:
Bin Yan China
Onur Uysal Türkiye
Haifeng Xu China
Nynke E. Hahn Netherlands
Sang Min Lee South Korea
Jiaxin Hu China
Ailin Li China
Yusuke Mochizuki Japan
Jinbo Liu China
Marc Hendrikx Belgium
Pan Yu relative to Bin Yan China Bin Yan's profile →
Citations per field
00.5×9.5×
Bin Yan · 1×
Citations per year

Countries citing papers authored by Pan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Pan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201659
2 201649
3 201643
4
Molecular hydrogen decelerates rheumatoid arthritis progression through inhibition of oxidative stress.
201637
5 201828
6 201926
7
Significance of CK19, TPO, and HBME-1 expression for diagnosis of papillary thyroid carcinoma.
201525
8 201423
9 201719
10 201319
11 202419
12 201718
13 202416
14
Correlation between body mass index and clinicopathological features of papillary thyroid microcarcinoma.
201513
15
Using foci number to predict central lymph node metastases of papillary thyroid microcarcinomas with multifocality.
201512
16 202411
17 202110
18 20119
19 20218
20 20218

About Pan Yu

Pan Yu is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Physiology, Water Science and Technology and Endocrinology, Diabetes and Metabolism, having authored 31 papers that have together received 480 indexed citations. Recurring topics across this work include Hydrogen's biological and therapeutic effects (13 papers), Minerals Flotation and Separation Techniques (4 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Anesthesia and Neurotoxicity Research (3 papers), Metal Extraction and Bioleaching (3 papers), Cancer Genomics and Diagnostics (2 papers), Respiratory Support and Mechanisms (2 papers) and Thermoregulation and physiological responses (2 papers). The work is most often cited by research in Developmental Neuroscience (76 citations), Surgery (208 citations), Water Science and Technology (46 citations), Endocrinology, Diabetes and Metabolism (48 citations) and Physiology (60 citations). Pan Yu has collaborated with scholars based in China, Egypt and United States. Frequent co-authors include Tao Huang, Zeming Liu, Chunping Liu, Jie Li, Yusufu Maimaiti, Yawen Guo, Shaojun Bai, Jia Meng, Manlin Duan and Jian Tong. Their work appears in journals such as Advanced Powder Technology, PLoS ONE, Experimental Dermatology, Human Genomics and Applied Surface Science.

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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