Fangling Ji

842 citations
51 papers · 710 · h-index 15

Impact in

  • Biomaterials top 10%
    • Nanoparticle-Based Drug Delivery
    • Enzyme Catalysis and Immobilization
    • Protein Structure and Dynamics
    • Connexins and lens biology
    • Protein purification and stability
    • Heat shock proteins research

Papers in

Fangling Ji

49 papers receiving 699 citations

Peers

Fangling Ji
Comparison fields: 5 of 68
  • Biomaterials 73
  • Molecular Biology 352
  • Biotechnology 38
  • Radiology, Nuclear Medicine and Imaging 89
  • Pharmaceutical Science 28
Replace Chun Meng with:
Chun Meng China
João H. P. M. Santos Brazil
Mahdie Rahban Iran
Anders Dybdal Nielsen Denmark
Zhengshan Luo China
Jung‐Hee Kim South Korea
Tobias Heck Switzerland
Zhou Wang China
Xun Liu China
Wenping Huang China
Fangling Ji relative to Chun Meng China Chun Meng's profile →
Citations per field
00.5×2×3×4.2×
Chun Meng · 1×
Citations per year

Countries citing papers authored by Fangling Ji

Since Specialization
Citations

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

Fields of papers citing papers by Fangling Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201665
2 201248
3 201639
4 201431
5 201529
6 201228
7 201627
8 201627
9 202027
10 201825
11 201724
12 201922
13 201621
14 201620
15 201319
16 201515
17 201815
18 201814
19 202014
20 201713

About Fangling Ji

Fangling Ji is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Surfaces, Coatings and Films, Biotechnology and Materials Chemistry, having authored 51 papers that have together received 710 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (13 papers), Enzyme Catalysis and Immobilization (8 papers), Enzyme Structure and Function (8 papers), Protein purification and stability (8 papers), Protein Structure and Dynamics (5 papers), Microbial bioremediation and biosurfactants (3 papers), Polymer Surface Interaction Studies (3 papers) and Nanoparticle-Based Drug Delivery (3 papers). The work is most often cited by research in Biomaterials (73 citations), Molecular Biology (352 citations), Biotechnology (38 citations), Radiology, Nuclear Medicine and Imaging (89 citations) and Pharmaceutical Science (28 citations). Fangling Ji has collaborated with scholars based in China, Belgium and United States. Frequent co-authors include Yongming Bao, Jingyun Wang, Yachen Li, Lingyun Jia, Jun Ren, Jinwon Jung, Angela M. Gronenborn, Lianying Guo, Chundong Huang and Leonardus M. I. Koharudin. Their work appears in journals such as Journal of Chromatography A, Acta Biomaterialia, Small, Biochemistry and Angewandte Chemie International Edition.

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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