Liang Jin
- Molecular Biology top 10%
- Oncology top 5%
- Immunology top 5%
- Cancer Research top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Tiansheng YanMing-Hui DongZhouzerui LiuXianwen RenChunhong ZhengZemin ZhangRui XingXinyi Guo
- Topics
- Climate variability and models (6 papers)Lung Cancer Diagnosis and Treatment (6 papers)Advanced Proteomics Techniques and Applications (5 papers)
- Cited by
- ImmunologyOncologyCancer Research
- Journals
- Nature MedicineNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Liang Jin
60 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 809
- Oncology 709
- Immunology 616
- Cancer Research 329
- Pulmonary and Respiratory Medicine 269
Countries citing papers authored by Liang Jin
This map shows the geographic impact of Liang 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 Liang Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Jin more than expected).
Fields of papers citing papers by Liang Jin
This network shows the impact of papers produced by Liang 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 Liang Jin. The network helps show where Liang Jin may publish in the future.
Co-authorship network of co-authors of Liang Jin
This figure shows the co-authorship network connecting the top 25 collaborators of Liang Jin. A scholar is included among the top collaborators of Liang Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Liang Jin. Liang Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 15 | |
| 8 | Inflammation in diabetes complications: molecular mechanisms and therapeutic interventionsbreakdown → | 45 |
| 9 | 1 | |
| 10 | 10 | |
| 11 | 37 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 3 | |
| 15 | 18 | |
| 16 | 13 | |
| 17 | 1 | |
| 18 | Global characterization of T cells in non-small-cell lung cancer by single-cell sequencingbreakdown → | 990 |
| 19 | 1 | |
| 20 | Improvement of bacterial blight resistance of hybrid rice parents through marker assistant selection of Xa23 gene. | 2 |
About Liang Jin
Liang Jin is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Occupational Therapy, having authored 67 papers that have together received 2.0k indexed citations. Recurring topics across this work include Climate variability and models (6 papers), Lung Cancer Diagnosis and Treatment (6 papers) and Advanced Proteomics Techniques and Applications (5 papers). The work is most often cited by research in Immunology (616 citations), Oncology (709 citations) and Cancer Research (329 citations). Liang Jin has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Tiansheng Yan, Ming-Hui Dong, Zhouzerui Liu, Xianwen Ren, Chunhong Zheng, Zemin Zhang, Rui Xing, Xinyi Guo, Ranran Gao and Dennis Kirchhoff. Their work appears in journals such as Nature Medicine, Nature Communications and SHILAP Revista de lepidopterología.
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.