Bin Deng

3.8k citations
106 papers · 2.9k · 1 hit paper · h-index 27

Impact in

Papers in

Bin Deng

98 papers receiving 2.9k citations

Bin Deng's Hit Papers

Toxicity of graphene-family nanoparticles: a general review of the origins and mechanisms 2016 · 687 citations
6870+3+6Years since publication200400600

Peers

Bin Deng
Comparison fields: 5 of 150
  • Cancer Research 225
  • Biomaterials 220
  • Biomedical Engineering 733
  • Immunology 296
  • Rehabilitation 84
Replace Jiawei Shi with:
Jiawei Shi China
Zhijie Li China
Qunwei Zhang United States
Yi Jin China
Cheng Chen China
Yuxin Wang China
Mo Chen China
Pengfei Chen China
Limin Liu China
Hui Zeng China
Bin Deng relative to Jiawei Shi China Jiawei Shi's profile →
Citations per field
00.5×2×2.8×
Jiawei Shi · 1×
Citations per year

Countries citing papers authored by Bin Deng

Since Specialization
Citations

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

Fields of papers citing papers by Bin Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Toxicity of graphene-family nanoparticles: a general review of the origins and mechanisms
Hit paper breakdown →
2016687
2 2018166
3 2013112
4 202099
5 201195
6 201992
7 201877
8 201676
9 201171
10 201068
11 201964
12 201857
13 201755
14 201051
15 201846
16 202143
17 202141
18 202339
19 201036
20 202034

About Bin Deng

Bin Deng is a scholar working on Immunology, Molecular Biology, Surgery, Cell Biology and Pathology and Forensic Medicine, having authored 106 papers that have together received 2.9k indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (8 papers), Immune cells in cancer (5 papers), Memory and Neural Mechanisms (5 papers), Aquatic Ecosystems and Phytoplankton Dynamics (4 papers), Tendon Structure and Treatment (4 papers), RNA Interference and Gene Delivery (4 papers), Gastric Cancer Management and Outcomes (4 papers) and Colorectal Cancer Screening and Detection (3 papers). The work is most often cited by research in Cancer Research (225 citations), Biomaterials (220 citations), Biomedical Engineering (733 citations), Immunology (296 citations) and Rehabilitation (84 citations). Bin Deng has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Bin Song, 邵龙泉, Ting Sun, Huimin Liang, Xiaoli Feng, Lingling Ou, Jia Liu, Yanbing Ding, Weiming Xiao and Guanbin Song. Their work appears in journals such as Frontiers in Immunology, Advanced Science, Digestive Diseases and Sciences, International Journal of Molecular Sciences and Frontiers in Pharmacology.

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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