Jinlan Li
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 30
- Acute Myeloid Leukemia Research 16
- Chronic Myeloid Leukemia Treatments 13
- Multiple Myeloma Research and Treatments 6
- Co-authors
- Guo‐Rui Ruan (38 shared papers)Xiao‐Jun Huang (33 shared papers)Shanshan Chen (30 shared papers)Ya‐Zhen Qin (17 shared papers)Bin Jiang (13 shared papers)Yan Chang (13 shared papers)Ling-Di Li (22 shared papers)Hua Jiang (1 shared paper)
- Journals
- Leukemia Research (7 papers)Scientific Reports (5 papers)Leprosy Review (5 papers)APOPTOSIS (3 papers)Annals of Hematology (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jinlan Li
109 papers receiving 948 citations
Peers
Comparison fields: 5 of 110
- Hematology 304
- Genetics 142
- Infectious Diseases 131
- Molecular Biology 280
- Oncology 93
Countries citing papers authored by Jinlan Li
This map shows the geographic impact of Jinlan Li'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 Jinlan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinlan Li more than expected).
Fields of papers citing papers by Jinlan Li
This network shows the impact of papers produced by Jinlan Li. 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 Jinlan Li. The network helps show where Jinlan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinlan Li, 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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 92 | |
| 2 | 2008 | 67 | |
| 3 | 2006 | 49 | |
| 4 | 2008 | 49 | |
| 5 | 2018 | 47 | |
| 6 | 2010 | 39 | |
| 7 | 2008 | 31 | |
| 8 | 2013 | 31 | |
| 9 | 2005 | 30 | |
| 10 | 2013 | 24 | |
| 11 | 2010 | 22 | |
| 12 | 2021 | 21 | |
| 13 | 2009 | 19 | |
| 14 | 2019 | 18 | |
| 15 | 2016 | 17 | |
| 16 | 2009 | 16 | |
| 17 | Quantitative assessment of hematopoietic chimerism by quantitative real-time polymerase chain reaction of sequence polymorphism systems after hematopoietic stem cell transplantation. | 2011 | 16 |
| 18 | 2015 | 15 | |
| 19 | 2019 | 14 | |
| 20 | 2014 | 13 |
About Jinlan Li
Jinlan Li is a scholar working on Hematology, Molecular Biology, Infectious Diseases, Genetics and Oncology, having authored 119 papers that have together received 974 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (16 papers), Chronic Myeloid Leukemia Treatments (13 papers), Tuberculosis Research and Epidemiology (12 papers), Leprosy Research and Treatment (8 papers), Acute Lymphoblastic Leukemia research (6 papers), Multiple Myeloma Research and Treatments (6 papers), Virus-based gene therapy research (6 papers) and Energy Efficient Wireless Sensor Networks (5 papers). The work is most often cited by research in Hematology (304 citations), Genetics (142 citations), Infectious Diseases (131 citations), Molecular Biology (280 citations) and Oncology (93 citations). Jinlan Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Guo‐Rui Ruan, Xiao‐Jun Huang, Shanshan Chen, Ya‐Zhen Qin, Bin Jiang, Yan Chang, Ling-Di Li, Hua Jiang, Huan Li and Xi Zhou. Their work appears in journals such as Leukemia Research, Scientific Reports, Leprosy Review, APOPTOSIS and Annals of Hematology.
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.