Yi Jin

1.1k citations
31 papers · 907 · h-index 12

Impact in

  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers
    • Cancer, Hypoxia, and Metabolism
    • Cancer Genomics and Diagnostics

Papers in

Yi Jin

29 papers receiving 894 citations

Peers

Yi Jin
Comparison fields: 5 of 95
  • Oncology 305
  • Cancer Research 162
  • Immunology 171
  • Polymers and Plastics 111
  • Bioengineering 27
Replace Su Bin Lim with:
Su Bin Lim South Korea
William Putzbach United States
Shaohua Peng United States
Fen Ma China
Gabi Hanna United States
Zipeng Lu China
Peiqing Zhao China
Xinhui Su China
Tatiana O. Abakumova Russia
Swati Gupta United States
Yi Jin relative to Su Bin Lim South Korea Su Bin Lim's profile →
Citations per field
00.5×10×15×19.7×
Su Bin Lim · 1×
Citations per year

Countries citing papers authored by Yi Jin

Since Specialization
Citations

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

Fields of papers citing papers by Yi Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010395
2 200874
3 200170
4 201659
5 201147
6 201643
7 200135
8 200126
9 200921
10 201619
11 200817
12 201617
13 200911
14 201910
15
[Primary epidermoid carcinoma of the breast. Clinical, histopathologic and prognostic study of 14 patients].
199210
16 201610
17
Influence of Artemisia annua extract derivatives on proliferation, apoptosis and metastasis of osteosarcoma cells.
201510
18 20227
19 20225
20 20244

About Yi Jin

Yi Jin is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Polymers and Plastics and Dermatology, having authored 31 papers that have together received 907 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Conducting polymers and applications (3 papers), MicroRNA in disease regulation (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Organic Electronics and Photovoltaics (2 papers), Synthesis and properties of polymers (2 papers), Kruppel-like factors research (2 papers) and Facial Rejuvenation and Surgery Techniques (2 papers). The work is most often cited by research in Oncology (305 citations), Cancer Research (162 citations), Immunology (171 citations), Polymers and Plastics (111 citations) and Bioengineering (27 citations). Yi Jin has collaborated with scholars based in China, Singapore and Japan. Frequent co-authors include Pierce K. H. Chow, Michelle Hong, Lai Chun Ong, Anne‐Laure Puaux, Xin‐Gui Li, Masashi Kato, Armelle Prévost‐Blondel, Celine Prakash, Lin Zheng and Henry Yang. Their work appears in journals such as Journal of Applied Polymer Science, World Neurosurgery, Polymer, Molecular Carcinogenesis and Molecular Imaging and Biology.

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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