Jun Jiang

2.5k citations
65 papers · 1.9k indexed · h-index 24

Impact in

    • Advanced biosensing and bioanalysis techniques
    • CRISPR and Genetic Engineering
    • DNA Repair Mechanisms

Papers in

Jun Jiang

61 papers receiving 1.9k citations

Peers

Jun Jiang
Comparison fields: 5 of 126
  • Biochemistry 93
  • Molecular Biology 960
  • Analytical Chemistry 129
  • Cancer Research 197
  • Plant Science 463
Replace Tingting Zhou with:
Tingting Zhou China
Anna Caruso Italy
Ahmad Asoodeh Iran
Alberto Vitali Italy
Zhi‐Qi Yin China
Shuuji Hara Japan
Yanbing Zhang China
Jie Tang China
Yue Ding China
Ping Su China
Jun Jiang relative to Tingting Zhou China Tingting Zhou's profile →
Citations per field
00.5×1.5×2.2×
Tingting Zhou · 1×
Citations per year

Countries citing papers authored by Jun Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20249
3 202416
4 20242
5 202364
6 20238
7 202236
8 202270
9 202299
10 201950
11 201915
12 201932
13 20185
14 201833
15
[Impact of mesenchymal stem cells transplantation on myocardial myocardin-related transcription factor-A and bcl-2 expression in rats with experimental myocardial infarction].
20154
16 201511
17 2013250
18 201264
19 201142
20 200925

About Jun Jiang

Jun Jiang is a scholar working on Pharmacology, Cancer Research, Biochemistry, Plant Science and Geriatrics and Gerontology, having authored 65 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mycotoxins in Agriculture and Food (17 papers), Pharmacogenetics and Drug Metabolism (10 papers), Carcinogens and Genotoxicity Assessment (10 papers), Advanced biosensing and bioanalysis techniques (8 papers), Drug Transport and Resistance Mechanisms (7 papers), Biosensors and Analytical Detection (6 papers), Advanced Nanomaterials in Catalysis (4 papers) and Genomics, phytochemicals, and oxidative stress (4 papers). The work is most often cited by research in Biochemistry (93 citations), Molecular Biology (960 citations), Analytical Chemistry (129 citations), Cancer Research (197 citations) and Plant Science (463 citations). Jun Jiang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yiqun Deng, Peiwu Li, Zhaowei Zhang, Liangxiao Zhang, Jikai Wen, Li Yu, Peiqiang Mu, Ruinan Yang, Xiupin Wang and Jeanne B. Lawrence. Their work appears in journals such as Biochemical Pharmacology, Toxins, Foods, Catalysis Communications and Food Chemistry.

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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