Jinlan Li
- Hematology top 5%
- Acute Myeloid Leukemia Research 19
- Chronic Myeloid Leukemia Treatments 18
- Multiple Myeloma Research and Treatments 7
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 9
- Virus-based gene therapy research 6
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology 13
- Leprosy Research and Treatment 8
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- Mycobacterium research and diagnosis 8
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jinlan Li
106 papers receiving 921 citations
Peers
Comparison fields: 5 of 120
- Hematology 334
- Genetics 170
- Infectious Diseases 134
- Molecular Biology 330
- Oncology 125
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2021 | 1 | |
| 12 | 2017 | 1 | |
| 13 | 2015 | 15 | |
| 14 | 2014 | 8 | |
| 15 | Comparison between the cultures of the Olympic Games and Naadam Fair. | 2010 | 0 |
| 16 | 2010 | 22 | |
| 17 | 2008 | 31 | |
| 18 | How can the University of Hawai'i meet needs for public health education? Results of a students' needs assessment. | 2007 | 3 |
| 19 | [Detection of common fusion transcript levels in untreated leukemia patients by real-time quantitative RT-PCR technique]. | 2007 | 7 |
| 20 | 2006 | 49 |
About Jinlan Li
Jinlan Li is a scholar working on Hematology, Genetics, Infectious Diseases, Algebra and Number Theory and Neurology, having authored 115 papers that have together received 940 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (19 papers), Chronic Myeloid Leukemia Treatments (18 papers), Tuberculosis Research and Epidemiology (13 papers), Chronic Lymphocytic Leukemia Research (9 papers), Mycobacterium research and diagnosis (8 papers), Leprosy Research and Treatment (8 papers), Multiple Myeloma Research and Treatments (7 papers) and Virus-based gene therapy research (6 papers). The work is most often cited by research in Hematology (334 citations), Genetics (170 citations), Infectious Diseases (134 citations), Molecular Biology (330 citations) and Oncology (125 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, Yanrong Liu, Xi Zhou, Huan Li and Xin Chen. 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.