Meng Jin

693 citations
11 papers · 593 · 1 hit paper · h-index 8

Impact in

Papers in

    • Heme Oxygenase-1 and Carbon Monoxide 2
    • Connective Tissue Growth Factor Research 1
    • Epigenetics and DNA Methylation 1

Meng Jin

10 papers receiving 587 citations

Meng Jin's Hit Papers

Local generation of hydrogen for enhanced photothermal therapy 2018 · 323 citations
3230+2+5Years since publication100200300

Peers

Meng Jin
Comparison fields: 5 of 80
  • Developmental Neuroscience 41
  • Biomaterials 108
  • Biomedical Engineering 340
  • Biochemistry 32
  • Materials Chemistry 178
Replace Guanning Huang with:
Guanning Huang China
Linqian Hou China
Mingjian Fan China
Yuanjie Wang China
Heng Sun China
Chengzhou Wu China
Xiangyi Ren China
Hengke Liu China
Anita Gianella Italy
Meng Jin relative to Guanning Huang China Guanning Huang's profile →
Citations per field
00.5×3.6×
Guanning Huang · 1×
Citations per year

Countries citing papers authored by Meng Jin

Since Specialization
Citations

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

Fields of papers citing papers by Meng Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Local generation of hydrogen for enhanced photothermal therapy
Hit paper breakdown →
2018323
2 202096
3 201961
4 201330
5 202130
6 201918
7 202313
8 202113
9 20135
10 20084
11 20240

About Meng Jin

Meng Jin is a scholar working on Molecular Biology, Epidemiology, Biomedical Engineering, Cell Biology and Genetics, having authored 11 papers that have together received 593 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (3 papers), Hemoglobin structure and function (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Plant nutrient uptake and metabolism (1 paper), Connective Tissue Growth Factor Research (1 paper), Liver physiology and pathology (1 paper), Epigenetics and DNA Methylation (1 paper) and Nanoparticle-Based Drug Delivery (1 paper). The work is most often cited by research in Developmental Neuroscience (41 citations), Biomaterials (108 citations), Biomedical Engineering (340 citations), Biochemistry (32 citations) and Materials Chemistry (178 citations). Meng Jin has collaborated with scholars based in China, United States and France. Frequent co-authors include Penghe Zhao, Qianjun He, Zhaokui Jin, Yang Tian, Xifeng Lu, Danyang Chen, Zhen Gu, Qian Chen, Bin Zhao and Mingjian Fan. Their work appears in journals such as Acta Biomaterialia, BioMed Research International, Hepatology International, Nature Communications and Phytotherapy 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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