Bin Ji

1.4k citations
53 papers · 1.1k · h-index 19

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 11
    • RNA Interference and Gene Delivery 8
    • Ginseng Biological Effects and Applications 5
    • Clostridium difficile and Clostridium perfringens research 5

Bin Ji

52 papers receiving 1.1k citations

Peers

Bin Ji
Comparison fields: 5 of 102
  • Complementary and alternative medicine 75
  • Molecular Biology 597
  • Pharmacology 73
  • Pharmaceutical Science 43
  • Biomaterials 93
Replace Neeraj Kumar with:
Neeraj Kumar India
Chunling Zhang China
Shridhar Narayanan India
Fernando Rodríguez‐Serrano Spain
Alexandra T. P. Carvalho Portugal
Sharmistha Chatterjee India
Mohammad Shahid India
Donald E. Sykes United States
Jian Zheng China
Deqing Sun China
Bin Ji relative to Neeraj Kumar India Neeraj Kumar's profile →
Citations per field
00.5×3.3×
Neeraj Kumar · 1×
Citations per year

Countries citing papers authored by Bin Ji

Since Specialization
Citations

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

Fields of papers citing papers by Bin Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005129
2 201384
3 201369
4 202163
5 201855
6 202048
7 201444
8 201540
9 201537
10 201834
11 201933
12 201831
13 201827
14 201426
15 201822
16 201621
17 202021
18 201920
19 201719
20 202018

About Bin Ji

Bin Ji is a scholar working on Molecular Biology, Infectious Diseases, Complementary and alternative medicine, Biomedical Engineering and Pharmacology, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (11 papers), RNA Interference and Gene Delivery (8 papers), Traditional Chinese Medicine Analysis (6 papers), Clostridium difficile and Clostridium perfringens research (5 papers), Ginseng Biological Effects and Applications (5 papers), Botulinum Toxin and Related Neurological Disorders (4 papers), Pharmacological Effects of Natural Compounds (4 papers) and Toxin Mechanisms and Immunotoxins (3 papers). The work is most often cited by research in Complementary and alternative medicine (75 citations), Molecular Biology (597 citations), Pharmacology (73 citations), Pharmaceutical Science (43 citations) and Biomaterials (93 citations). Bin Ji has collaborated with scholars based in China, United States and Belarus. Frequent co-authors include Sai Bi, Jie Song, Zhipeng Zhang, Shusheng Zhang, Tetsuya Suhara, Hideyoshi Harashima, Makoto Higuchi, Kaori Inoue, Hidetaka Akita and Jun Maeda. Their work appears in journals such as Journal of Chromatography B, Journal of Orthopaedic Surgery and Research, Nano Letters, Virulence 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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