Liang Jin
- Immunology top 5%
- Oncology top 5%
- Cancer Research top 5%
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies 4
- DNA Repair Mechanisms 3
- Atmospheric Science top 10%
- Meteorological Phenomena and Simulations 4
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- Climate variability and models 6
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- Lung Cancer Diagnosis and Treatment 6
- Ferroptosis and cancer prognosis 5
- Renal cell carcinoma treatment 3
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- Advanced Proteomics Techniques and Applications 5
- Co-authors
- Tiansheng YanMing-Hui DongZhouzerui LiuXianwen RenChunhong ZhengZemin ZhangRui XingXinyi Guo
- Cited by
- ImmunologyOncologyCancer Research
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Liang Jin
60 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Immunology 616
- Oncology 709
- Cancer Research 329
- Molecular Biology 809
- Atmospheric Science 153
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
The 25 scholars most cited alongside Liang Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 3 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 15 | |
| 8 | Inflammation in diabetes complications: molecular mechanisms and therapeutic interventionsbreakdown → | 2024 | 45 |
| 9 | 2024 | 1 | |
| 10 | 2023 | 10 | |
| 11 | 2023 | 37 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 0 | |
| 14 | 2023 | 3 | |
| 15 | 2023 | 18 | |
| 16 | 2022 | 13 | |
| 17 | 2021 | 1 | |
| 18 | Global characterization of T cells in non-small-cell lung cancer by single-cell sequencingbreakdown → | 2018 | 990 |
| 19 | 2014 | 1 | |
| 20 | Improvement of bacterial blight resistance of hybrid rice parents through marker assistant selection of Xa23 gene. | 2010 | 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), Advanced Proteomics Techniques and Applications (5 papers), Ferroptosis and cancer prognosis (5 papers), Genomics and Phylogenetic Studies (4 papers), Meteorological Phenomena and Simulations (4 papers), Renal cell carcinoma treatment (3 papers) and DNA Repair Mechanisms (3 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 Scientific Reports, Journal of Climate, Nature Communications, Journal of Geophysical Research Atmospheres and Analytical 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.