Ping Yan

660 citations
42 papers · 550 indexed · h-index 12

Impact in

Papers in

Ping Yan

38 papers receiving 528 citations

Peers

Ping Yan
Comparison fields: 5 of 88
  • Radiology, Nuclear Medicine and Imaging 276
  • Biophysics 39
  • Electrical and Electronic Engineering 220
  • Cancer Research 55
  • Analytical Chemistry 24
Replace Shabbir Bambot with:
Shabbir Bambot United States
Sónia Carvalho Portugal
Libo Zeng China
Vivian Pera United States
Narasimhan Rajaram United States
David Brasse France
Hea Min Joh South Korea
Yansheng Jiang Belgium
Fuxiang Liu China
Xiyu Duan United States
Ping Yan relative to Shabbir Bambot United States Shabbir Bambot's profile →
Citations per field
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Shabbir Bambot · 1×
Citations per year

Countries citing papers authored by Ping Yan

Since Specialization
Citations

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

Fields of papers citing papers by Ping Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011135
2 201349
3 201344
4 200133
5 200730
6 200625
7 201023
8 201417
9 201617
10 201414
11 201314
12 201613
13 201811
14 201510
15 20139
16 20159
17 20188
18 20138
19 20178
20 20127

About Ping Yan

Ping Yan is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cancer Research, Oncology and Electrical and Electronic Engineering, having authored 42 papers that have together received 550 indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (11 papers), RNA Interference and Gene Delivery (10 papers), Cancer, Hypoxia, and Metabolism (7 papers), Advanced biosensing and bioanalysis techniques (6 papers), Cell Adhesion Molecules Research (4 papers), Plasma Applications and Diagnostics (4 papers), MicroRNA in disease regulation (4 papers) and Cancer Research and Treatments (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (276 citations), Biophysics (39 citations), Electrical and Electronic Engineering (220 citations), Cancer Research (55 citations) and Analytical Chemistry (24 citations). Ping Yan has collaborated with scholars based in China, Russia and Switzerland. Frequent co-authors include Tao Shao, В. Ф. Тарасенко, Zheng Niu, Е. Х. Бакшт, Chunli Zhang, Rongfu Wang, Meng Liu, Ming Yu, Cheng Zhang and Lei Kang. Their work appears in journals such as IEEE Transactions on Dielectrics and Electrical Insulation, IEEE Transactions on Plasma Science, PLoS ONE, Journal of Nuclear Medicine and Cellular & Molecular Biology Letters.

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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