Bai He

32 papers receiving 356 citations

Bai He's Hit Papers

Tandem-controlled lysosomal assembly of nanofibres induces pyroptosis for cancer immunotherapy 2025 · 71 citations
710Years since publication204060

Peers

Bai He
Comparison fields: 5 of 58
  • Radiology, Nuclear Medicine and Imaging 99
  • Hepatology 16
  • Biomaterials 20
  • Cancer Research 20
  • Biomedical Engineering 50
Replace Ben G T Coumbe with:
Ben G T Coumbe United Kingdom
Xin Fan China
Zairong Gao China
Shuwei Zhou China
Yuanqiang Lin China
Yongli Li China
Sally N. Rushton United Kingdom
Hitomi Hara Japan
Robert F. Mattrey United States
Kengo Nakahata Japan
Bai He relative to Ben G T Coumbe United Kingdom Ben G T Coumbe's profile →
Citations per field
00.5×2×4×6×8×
Ben G T Coumbe · 1×
Citations per year

Countries citing papers authored by Bai He

Since Specialization
Citations

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

Fields of papers citing papers by Bai He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Tandem-controlled lysosomal assembly of nanofibres induces pyroptosis for cancer immunotherapy
Hit paper breakdown →
202571
2 201937
3 201930
4 201922
5 201820
6
Prevalence of osteoporosis and associated factors among Chinese adults: a systematic review and modelling study
Hit paper breakdown →
202518
7 201613
8 201312
9 202012
10 202012
11 200911
12 201211
13 202011
14 201310
15 201910
16 20219
17 20238
18 20176
19 20196
20 20226

About Bai He

Bai He is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Hepatology, Surgery and Biomaterials, having authored 34 papers that have together received 370 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (13 papers), Cardiovascular Disease and Adiposity (5 papers), Organ Transplantation Techniques and Outcomes (4 papers), Liver physiology and pathology (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Cervical Cancer and HPV Research (1 paper), Cardiovascular Health and Disease Prevention (1 paper) and Bone health and osteoporosis research (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (99 citations), Hepatology (16 citations), Biomaterials (20 citations), Cancer Research (20 citations) and Biomedical Engineering (50 citations). Bai He has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yundai Chen, Junjie Yang, Jing Jing, Fangchao Yuan, Jianping Gong, Zhiye Chen, Menghao Wang, Mingyong Miao, Hao Wu and Qinhua Jin. Their work appears in journals such as Journal of Thoracic Imaging, Journal of Thrombosis and Thrombolysis, BMC Cancer, Radiology Cardiothoracic Imaging and Leukemia Research.

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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