Bai Jing-ping

510 citations
26 papers · 422 · h-index 11

Impact in

Papers in

    • FOXO transcription factor regulation 3
    • RNA modifications and cancer 3
    • Shoulder Injury and Treatment 3

Bai Jing-ping

26 papers receiving 413 citations

Peers

Bai Jing-ping
Comparison fields: 5 of 88
  • Orthopedics and Sports Medicine 49
  • Oncology 100
  • Cancer Research 51
  • Molecular Biology 229
  • Otorhinolaryngology 14
Replace Kohei Okuyama with:
Kohei Okuyama Japan
Ryan C. Chai Australia
Birgitte Rønø Denmark
Christophe Lesur France
Ilja Ritamo Finland
Jun Hang China
Annikka Linnala‐Kankkunen Finland
Hyun Duk Jang South Korea
Laura Mitrofan France
Ke Zheng China
Bai Jing-ping relative to Kohei Okuyama Japan Kohei Okuyama's profile →
Citations per field
00.5×1.5×2.5×
Kohei Okuyama · 1×
Citations per year

Countries citing papers authored by Bai Jing-ping

Since Specialization
Citations

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

Fields of papers citing papers by Bai Jing-ping

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bai Jing-ping. 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 Bai Jing-ping. The network helps show where Bai Jing-ping may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200775
2 200868
3 200854
4 201346
5 201831
6 201717
7 199416
8 201215
9 201715
10 201614
11 201113
12 20147
13 20177
14 20236
15
Differentially expressed proteins on postoperative 3 days healing in rabbit Achilles tendon rupture model after early kinesitherapy.
20116
16 20126
17 20115
18 20155
19
Effect of r-Mt-Cpn10 on human osteoblast cells.
20143
20 20123

About Bai Jing-ping

Bai Jing-ping is a scholar working on Molecular Biology, Surgery, Orthopedics and Sports Medicine, Oncology and Pathology and Forensic Medicine, having authored 26 papers that have together received 422 indexed citations. Recurring topics across this work include Tendon Structure and Treatment (8 papers), Shoulder Injury and Treatment (3 papers), FOXO transcription factor regulation (3 papers), RNA modifications and cancer (3 papers), Sports injuries and prevention (3 papers), MicroRNA in disease regulation (2 papers), Cancer-related molecular mechanisms research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (49 citations), Oncology (100 citations), Cancer Research (51 citations), Molecular Biology (229 citations) and Otorhinolaryngology (14 citations). Bai Jing-ping has collaborated with scholars based in China, United States and Argentina. Frequent co-authors include Lu Jiang, Qianming Chen, Feng Gao, Zhi Wang, Jun Shen, Canhua Huang, Yuanyuan Zhang, Min Zhou, Hongmei Zhou and Lu Ding. Their work appears in journals such as Gene, Oncology Reports, Cell Death and Disease, Molecular & Cellular Proteomics and Cancer Medicine.

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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