Shengxiang Ji

3.0k citations
75 papers · 2.5k indexed · 1 hit paper · h-index 25
Topics
Block Copolymer Self-Assembly (35 papers)Advanced Polymer Synthesis and Characterization (25 papers)Polymer Surface Interaction Studies (20 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Shengxiang Ji

72 papers receiving 2.5k citations

Hit Papers

Sequentially Responsive Shell‐Stacked Nanoparticles for D...20172026202020232017100200300

Peers

Shengxiang Ji
Comparison fields: 5 of 118
  • Materials Chemistry 1.4k
  • Organic Chemistry 929
  • Biomedical Engineering 685
  • Biomaterials 502
  • Surfaces, Coatings and Films 448
Replace Katia Sparnacci with:
Katia Sparnacci Italy
Michele Laus Italy
Michael J. A. Hore United States
Daisuke Suzuki Japan
Elı́as Pérez Mexico
Jean‐François Le Meins France
Li‐Tang Yan China
Kevin Sill United States
Liangshun Zhang China
Jacqueline Forcada Spain
Shengxiang Ji relative to Katia Sparnacci Italy Katia Sparnacci's profile →
Citations per field
00.5×1.5×2.3×
Katia Sparnacci · 1×
Citations per year

Countries citing papers authored by Shengxiang Ji

Since Specialization
Citations

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

Fields of papers citing papers by Shengxiang Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengxiang Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Shengxiang Ji. A scholar is included among the top collaborators of Shengxiang Ji based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shengxiang Ji. Shengxiang Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 1
4 0
5 8
6 58
7 10
8 24
9 19
10 20
11 19
12 197
13 24
14 11
15 8
16 30
17 69
18 20
19 99
20
I. Diamino telechelic polybutadienes: Synthesis, characterization and melt coupling. II. Poly(epsilon-caprolactone-beta-poly(ethylene glycol) polymeric nanoparticles for drug delivery. III. Zirconia based cellulosic HPLC chiral stationary phase for enantioseparations
1

About Shengxiang Ji

Shengxiang Ji is a scholar working on Surfaces, Coatings and Films, Organic Chemistry and Microbiology, having authored 75 papers that have together received 2.5k indexed citations. Recurring topics across this work include Block Copolymer Self-Assembly (35 papers), Advanced Polymer Synthesis and Characterization (25 papers) and Polymer Surface Interaction Studies (20 papers). The work is most often cited by research in Surfaces, Coatings and Films (448 citations), Biomaterials (502 citations) and Organic Chemistry (929 citations). Shengxiang Ji has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Paul F. Nealey, Chi‐Chun Liu, Gordon S. W. Craig, Thomas R. Hoye, Lei Wan, Xuesi Chen, Jianxun Ding, Yucai Wang, Christopher W. Macosko and Jianjun Cheng. Their work appears in journals such as Advanced Materials, Nano Letters and ACS Nano.

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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