Mingji Jin

4.0k citations
106 papers · 3.0k indexed · 2 hit papers · h-index 29

Impact in

Papers in

Mingji Jin

103 papers receiving 3.0k citations

Hit Papers

Modulating macrophage phenotype for accelerated wound healing with chlorogenic acid-loaded nanocomposite hydrogel 2024 · 58 citations
582016202620192022100200300400

Peers

Mingji Jin
Comparison fields: 5 of 125
  • Biomaterials 778
  • Pharmaceutical Science 267
  • Molecular Biology 1.5k
  • Pharmacology 187
  • Developmental Neuroscience 77
Replace Tomohiro Asai with:
Tomohiro Asai Japan
Xia Cao China
José Prados Spain
Consolación Melguizo Spain
Yao Fu China
Francesca Re Italy
Jinning Lou China
Jiangbing Zhou United States
Han Chang Kang South Korea
Mingji Jin relative to Tomohiro Asai Japan Tomohiro Asai's profile →
Citations per field
00.5×1.5×2.5×
Tomohiro Asai · 1×
Citations per year

Countries citing papers authored by Mingji Jin

Since Specialization
Citations

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

Fields of papers citing papers by Mingji Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20252
3 20251
4 20248
5 20241
6 20243
7 202418
8 20239
9 20234
10 202320
11 202367
12 202356
13 202221
14 202110
15 202149
16 201637
17 201513
18 20152
19 200988
20 200620

About Mingji Jin

Mingji Jin is a scholar working on Biomaterials, Pharmaceutical Science, Oncology, Molecular Biology and Transplantation, having authored 106 papers that have together received 3.0k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (35 papers), RNA Interference and Gene Delivery (33 papers), Nanoplatforms for cancer theranostics (26 papers), Advanced biosensing and bioanalysis techniques (15 papers), Drug Transport and Resistance Mechanisms (8 papers), Pharmacological Effects and Toxicity Studies (5 papers), Advanced Drug Delivery Systems (4 papers) and Cancer Research and Treatments (4 papers). The work is most often cited by research in Biomaterials (778 citations), Pharmaceutical Science (267 citations), Molecular Biology (1.5k citations), Pharmacology (187 citations) and Developmental Neuroscience (77 citations). Mingji Jin has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zhonggao Gao, Liqing Chen, Wei Huang, Wei Huang, Lin Kang, Qiming Wang, Tony Hunter, Yongsung Kim, Xinde Zheng and Leah Boyer. Their work appears in journals such as International Journal of Nanomedicine, Pharmaceutics, Acta Pharmaceutica Sinica B, Journal of Controlled Release and Journal of Nanobiotechnology.

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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