Jin Ji

71 papers receiving 2.0k citations

Jin Ji's Hit Papers

Highly Bioavailable Forms of Curcumin and Promising Avenues for Curcumin-Based Research and Application: A Review 2020 · 273 citations
2730+2+4Years since publication50100150200250

Peers

Jin Ji
Comparison fields: 5 of 128
  • Molecular Medicine 285
  • Bioengineering 166
  • Metals and Alloys 44
  • Polymers and Plastics 189
  • Electronic, Optical and Magnetic Materials 216
Replace Jiangjiang Zhang with:
Jiangjiang Zhang China
Feifei Zhang China
Wenjuan Guo China
Krzysztof Szczepanowicz Poland
Dongyan Tang China
Dong Jin Kim South Korea
Chong Lee Australia
Xiaojuan Zhang China
Sunil Kumar Singh India
Dongxiang Li China
Jin Ji relative to Jiangjiang Zhang China Jiangjiang Zhang's profile →
Citations per field
00.5×5.8×
Jiangjiang Zhang · 1×
Citations per year

Countries citing papers authored by Jin Ji

Since Specialization
Citations

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

Fields of papers citing papers by Jin Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Highly Bioavailable Forms of Curcumin and Promising Avenues for Curcumin-Based Research and Application: A Review
Hit paper breakdown →
2020273
2 2016136
3 2005135
4 2015127
5 2008104
6 201690
7 200887
8 200182
9 200073
10 200471
11 201954
12 201750
13 201647
14 200444
15 200840
16 200240
17 202338
18 200137
19 200737
20 202336

About Jin Ji

Jin Ji is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering, Surgery and Molecular Biology, having authored 76 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced DC-DC Converters (6 papers), Advanced Battery Technologies Research (5 papers), Multilevel Inverters and Converters (5 papers), Gold and Silver Nanoparticles Synthesis and Applications (4 papers), Advancements in Battery Materials (4 papers), Analytical Chemistry and Sensors (4 papers), Plasmonic and Surface Plasmon Research (3 papers) and Advanced Photocatalysis Techniques (3 papers). The work is most often cited by research in Molecular Medicine (285 citations), Bioengineering (166 citations), Metals and Alloys (44 citations), Polymers and Plastics (189 citations) and Electronic, Optical and Magnetic Materials (216 citations). Jin Ji has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zeev Rosenzweig, S.J. Stohs, Harry G. Preuss, Luke R. Bucci, Dale Larson, Nitsa Rosenzweig, Sidhartha D. Ray, Mingxin Ye, Jianfeng Shen and Oliver Chen. Their work appears in journals such as Analytical Chemistry, IEEE Journal of Solid-State Circuits, Journal of Agricultural and Food Chemistry, Journal of Biomedical Optics and Journal of the American College of Nutrition.

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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