Jun Yi

548 citations
15 papers · 402 · h-index 11

Impact in

Papers in

    • Plant Reproductive Biology 3
    • Signaling Pathways in Disease 3
    • Photosynthetic Processes and Mechanisms 2
    • RNA and protein synthesis mechanisms 2
    • Chromosomal and Genetic Variations 3
    • Plant Molecular Biology Research 2

Jun Yi

14 papers receiving 388 citations

Peers

Jun Yi
Comparison fields: 5 of 68
  • Cancer Research 152
  • Immunology and Allergy 32
  • Hematology 55
  • Oncology 113
  • Molecular Biology 173
Replace Yasuyuki Shitomi with:
Yasuyuki Shitomi Japan
Jan de Groot Netherlands
Marc B. Elliott Canada
Anne-Gaëlle Rio France
Daniela Lamorte Italy
Keman Zhang United States
Shui Hao China
Susan L. Gawlak United States
Cláudia Alessandra Andrade de Paula Brazil
Oumou Goundiam France
Jun Yi relative to Yasuyuki Shitomi Japan Yasuyuki Shitomi's profile →
Citations per field
00.5×1.5×
Yasuyuki Shitomi · 1×
Citations per year

Countries citing papers authored by Jun Yi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2001114
2 199950
3 202046
4 200043
5 201533
6 201726
7 201519
8 199816
9
The overexpression membrane type 1 matrix metalloproteinase is associated with the progression and prognosis in breast cancer.
201516
10 202315
11 201112
12 20177
13 20223
14
Preparation and Characterization of Dexamethasone Acetate-loaded Solid Lipid Nanoparticles
20081
15
Expression and Identification of LfcinB Gene in Pichia pastoris
20071

About Jun Yi

Jun Yi is a scholar working on Molecular Biology, Plant Science, Cancer Research, Oncology and Pharmaceutical Science, having authored 15 papers that have together received 402 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (4 papers), Plant Reproductive Biology (3 papers), Chromosomal and Genetic Variations (3 papers), Peptidase Inhibition and Analysis (3 papers), Signaling Pathways in Disease (3 papers), Photosynthetic Processes and Mechanisms (2 papers), RNA and protein synthesis mechanisms (2 papers) and Plant Molecular Biology Research (2 papers). The work is most often cited by research in Cancer Research (152 citations), Immunology and Allergy (32 citations), Hematology (55 citations), Oncology (113 citations) and Molecular Biology (173 citations). Jun Yi has collaborated with scholars based in United States, Sweden and China. Frequent co-authors include Duanqing Pei, Tiebang Kang, Claudia Köhler, Athena Guo, Jianxun Lei, Xing Wang, Robert Elde, Christopher M. Overall, Weiping Jiang and Niels Borregaard. Their work appears in journals such as The Plant Cell, Protein Expression and Purification, Nature Communications, Journal of Drug Delivery Science and Technology and New Phytologist.

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.

Explore authors with similar magnitude of impact