Panpan Yang

2.0k citations
129 papers · 1.4k · h-index 20

Impact in

    • Oral microbiology and periodontitis research
    • Inflammasome and immune disorders
    • Bone Metabolism and Diseases

Papers in

    • Bone Metabolism and Diseases 9
    • Cancer-related gene regulation 6
    • Inflammasome and immune disorders 5
    • Pancreatic and Hepatic Oncology Research 7

Panpan Yang

120 papers receiving 1.4k citations

Peers

Panpan Yang
Comparison fields: 5 of 151
  • Periodontics 49
  • Molecular Biology 592
  • Cancer Research 115
  • Nephrology 47
  • Oncology 172
Replace Ming Li with:
Ming Li China
Min Kyung Shin South Korea
Tingting Li China
Po‐Han Chen Taiwan
Tingting Liang China
Peng Zhang China
Sung Lee United States
Panpan Yang relative to Ming Li China Ming Li's profile →
Citations per field
00.5×1.5×
Ming Li · 1×
Citations per year

Countries citing papers authored by Panpan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Panpan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201689
2 202087
3 202061
4 201955
5 202354
6 202049
7 201346
8 202342
9 202238
10 202032
11 201430
12 202229
13 202027
14 202027
15 202324
16 202024
17 202123
18 202122
19 202319
20 202219

About Panpan Yang

Panpan Yang is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Immunology, having authored 129 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (9 papers), Pancreatic and Hepatic Oncology Research (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), MRI in cancer diagnosis (6 papers), Virus-based gene therapy research (6 papers), Cancer-related gene regulation (6 papers), Antimicrobial Resistance in Staphylococcus (5 papers) and Inflammasome and immune disorders (5 papers). The work is most often cited by research in Periodontics (49 citations), Molecular Biology (592 citations), Cancer Research (115 citations), Nephrology (47 citations) and Oncology (172 citations). Panpan Yang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Minqi Li, Yuying Kou, Shanshan Liu, Yue Huang, Aimin Sha, Feng Ma, Tomoka Hasegawa, Hongrui Liu, Chao Ma and Ziqi Yue. Their work appears in journals such as Journal of Molecular Histology, Poultry Science, Oral Diseases, Cellular Signalling and Drug Design Development and Therapy.

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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