Baichuan Wang

1.9k citations
56 papers · 1.4k · 1 hit paper · h-index 24

Impact in

Papers in

Baichuan Wang

52 papers receiving 1.4k citations

Baichuan Wang's Hit Papers

HIF1A Alleviates compression-induced apoptosis of nucleus pulposus derived stem cells via upregulating autophagy 2021 · 153 citations
1530+1+3Years since publication50100150

Peers

Baichuan Wang
Comparison fields: 5 of 98
  • Pathology and Forensic Medicine 337
  • Rheumatology 234
  • Pharmacology 225
  • Biomaterials 131
  • Surgery 358
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Junhui Liu China
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Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by Baichuan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Baichuan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
HIF1A Alleviates compression-induced apoptosis of nucleus pulposus derived stem cells via upregulating autophagy
Hit paper breakdown →
2021153
2 2017109
3 201778
4 202069
5 201955
6 202352
7 201851
8 202045
9 201144
10 201743
11 202242
12 202239
13 202135
14 202035
15 202134
16 201633
17 202130
18 201930
19 202026
20 202126

About Baichuan Wang

Baichuan Wang is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Molecular Biology, Rheumatology and Pathology and Forensic Medicine, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (15 papers), Bone Tumor Diagnosis and Treatments (9 papers), Spine and Intervertebral Disc Pathology (8 papers), Management of metastatic bone disease (8 papers), Musculoskeletal pain and rehabilitation (5 papers), RNA modifications and cancer (4 papers), Osteoarthritis Treatment and Mechanisms (4 papers) and Nanoplatforms for cancer theranostics (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (337 citations), Rheumatology (234 citations), Pharmacology (225 citations), Biomaterials (131 citations) and Surgery (358 citations). Baichuan Wang has collaborated with scholars based in China, United Kingdom and Nepal. Frequent co-authors include Zengwu Shao, Xiao Lv, Binwu Hu, Songfeng Chen, Weijian Liu, Min Cui, Kaige Ma, Hui Lin, Feifei Pu and Jianxiang Liu. Their work appears in journals such as International Orthopaedics, Journal of Cancer, Frontiers in Cell and Developmental Biology, OncoTargets and Therapy and BMC 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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