Jiang Lin
Impact in
- Cancer Research top 0.5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hematology top 0.5%
- Acute Myeloid Leukemia Research
Papers in
-
- Epigenetics and DNA Methylation 56
- Cancer-related gene regulation 28
- Circular RNAs in diseases 24
- RNA Research and Splicing 20
- Hematology 128
- Acute Myeloid Leukemia Research 116
- Chronic Myeloid Leukemia Treatments 19
- Co-authors
- Jun Qian (115 shared papers)Ji‐chun Ma (89 shared papers)Zhaoqun Deng (69 shared papers)Xiang‐mei Wen (63 shared papers)Dong‐ming Yao (56 shared papers)Jing‐dong Zhou (58 shared papers)Jing Yang (40 shared papers)Zi‐jun Xu (50 shared papers)
- Journals
- Leukemia Research (11 papers)Journal of Cellular Physiology (8 papers)Clinical Biochemistry (6 papers)Tumor Biology (5 papers)Cancer Medicine (5 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jiang Lin
243 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 123
- Cancer Research 1.8k
- Hematology 1.3k
- Molecular Biology 3.2k
- Genetics 361
- Oncology 670
Countries citing papers authored by Jiang Lin
This map shows the geographic impact of Jiang Lin'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 Jiang Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiang Lin more than expected).
Fields of papers citing papers by Jiang Lin
This network shows the impact of papers produced by Jiang Lin. 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 Jiang Lin. The network helps show where Jiang Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiang Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 258 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 280 | |
| 2 | 2019 | 181 | |
| 3 | 2019 | 149 | |
| 4 | 2013 | 124 | |
| 5 | 2011 | 107 | |
| 6 | 2011 | 89 | |
| 7 | 2019 | 88 | |
| 8 | 2018 | 86 | |
| 9 | 2009 | 81 | |
| 10 | 2013 | 78 | |
| 11 | 2019 | 75 | |
| 12 | 2013 | 75 | |
| 13 | 2012 | 71 | |
| 14 | 2014 | 68 | |
| 15 | 2015 | 66 | |
| 16 | 2019 | 65 | |
| 17 | 2016 | 62 | |
| 18 | 2019 | 60 | |
| 19 | 2013 | 58 | |
| 20 | 2009 | 58 |
About Jiang Lin
Jiang Lin is a scholar working on Molecular Biology, Hematology, Cancer Research, Genetics and Oncology, having authored 258 papers that have together received 4.8k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (116 papers), Epigenetics and DNA Methylation (56 papers), MicroRNA in disease regulation (41 papers), Cancer-related gene regulation (28 papers), Cancer-related molecular mechanisms research (25 papers), Circular RNAs in diseases (24 papers), RNA Research and Splicing (20 papers) and Chronic Myeloid Leukemia Treatments (19 papers). The work is most often cited by research in Cancer Research (1.8k citations), Hematology (1.3k citations), Molecular Biology (3.2k citations), Genetics (361 citations) and Oncology (670 citations). Jiang Lin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jun Qian, Ji‐chun Ma, Zhaoqun Deng, Xiang‐mei Wen, Dong‐ming Yao, Jing‐dong Zhou, Jing Yang, Zi‐jun Xu, Huihui Li and Heiko Hermeking. Their work appears in journals such as Leukemia Research, Journal of Cellular Physiology, Clinical Biochemistry, Tumor Biology and Cancer Medicine.
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.