Zhanjun Li
Impact in
- Aging top 2%
Papers in
-
- CRISPR and Genetic Engineering 50
- RNA and protein synthesis mechanisms 18
- RNA regulation and disease 13
- Pluripotent Stem Cells Research 11
- Retinal Development and Disorders 9
- Genetics 39
- Virus-based gene therapy research 12
- Genetic Syndromes and Imprinting 10
- Co-authors
- Liangxue Lai (51 shared papers)Yuanyuan Xu (5 shared papers)Mao Chen (23 shared papers)Tingting Sui (30 shared papers)Yuning Song (33 shared papers)Zhiquan Liu (26 shared papers)Jichao Deng (18 shared papers)Karthik Ramani (8 shared papers)
- Journals
- Cellular and Molecular Life Sciences (6 papers)Gene (5 papers)Scientific Reports (4 papers)Molecular Therapy — Nucleic Acids (4 papers)Cell Death and Disease (4 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Zhanjun Li
112 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 139
- Business and International Management 134
- Aging 98
- Molecular Biology 1.8k
- Genetics 729
- Cancer Research 188
Countries citing papers authored by Zhanjun Li
This map shows the geographic impact of Zhanjun 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 Zhanjun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhanjun Li more than expected).
Fields of papers citing papers by Zhanjun Li
This network shows the impact of papers produced by Zhanjun 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 Zhanjun Li. The network helps show where Zhanjun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhanjun 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 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 220 | |
| 2 | 2018 | 120 | |
| 3 | 2016 | 109 | |
| 4 | 2020 | 98 | |
| 5 | 2016 | 87 | |
| 6 | 2008 | 76 | |
| 7 | 2018 | 66 | |
| 8 | 2016 | 57 | |
| 9 | 2008 | 53 | |
| 10 | 2020 | 52 | |
| 11 | 2011 | 44 | |
| 12 | 2016 | 42 | |
| 13 | 2020 | 41 | |
| 14 | 2020 | 36 | |
| 15 | 2018 | 34 | |
| 16 | 2019 | 34 | |
| 17 | 2017 | 33 | |
| 18 | 2021 | 32 | |
| 19 | 2010 | 32 | |
| 20 | 2021 | 31 |
About Zhanjun Li
Zhanjun Li is a scholar working on Molecular Biology, Genetics, Public Health, Environmental and Occupational Health, Artificial Intelligence and Pediatrics, Perinatology and Child Health, having authored 120 papers that have together received 2.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (50 papers), RNA and protein synthesis mechanisms (18 papers), RNA regulation and disease (13 papers), Virus-based gene therapy research (12 papers), Pluripotent Stem Cells Research (11 papers), Genetic Syndromes and Imprinting (10 papers), Retinal Development and Disorders (9 papers) and Reproductive Biology and Fertility (9 papers). The work is most often cited by research in Business and International Management (134 citations), Aging (98 citations), Molecular Biology (1.8k citations), Genetics (729 citations) and Cancer Research (188 citations). Zhanjun Li has collaborated with scholars based in China, United States and India. Frequent co-authors include Liangxue Lai, Yuanyuan Xu, Mao Chen, Tingting Sui, Yuning Song, Zhiquan Liu, Jichao Deng, Karthik Ramani, Siyu Chen and Lin Yuan. Their work appears in journals such as Cellular and Molecular Life Sciences, Gene, Scientific Reports, Molecular Therapy — Nucleic Acids and Cell Death and Disease.
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.