Siting Li
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Circular RNAs in diseases
- RNA modifications and cancer
- DNA Repair Mechanisms
- Protein Hydrolysis and Bioactive Peptides
- CRISPR and Genetic Engineering
Papers in
-
- DNA Repair Mechanisms 9
- Protein Hydrolysis and Bioactive Peptides 7
- CRISPR and Genetic Engineering 6
- Ubiquitin and proteasome pathways 4
- Oncology 10
- Co-authors
- Feng Ge (9 shared papers)Qian Xiong (6 shared papers)Xue Yang (4 shared papers)Ying Wu (3 shared papers)Junjie Chen (15 shared papers)Mengfan Tang (14 shared papers)Chao Wang (11 shared papers)Yingmin Jia (12 shared papers)
- Journals
- Frontiers in Immunology (8 papers)Scientific Reports (4 papers)LWT (3 papers)Atmospheric chemistry and physics (3 papers)Nucleic Acids Research (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Siting Li
97 papers receiving 977 citations
Peers
Comparison fields: 5 of 103
- Cancer Research 154
- Molecular Biology 532
- Microbiology 23
- Biotechnology 33
- Rheumatology 49
Countries citing papers authored by Siting Li
This map shows the geographic impact of Siting 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 Siting Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siting Li more than expected).
Fields of papers citing papers by Siting Li
This network shows the impact of papers produced by Siting 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 Siting Li. The network helps show where Siting Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Siting 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 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 75 | |
| 2 | 2021 | 53 | |
| 3 | 2015 | 42 | |
| 4 | 2018 | 40 | |
| 5 | 2017 | 36 | |
| 6 | 2018 | 36 | |
| 7 | 2016 | 32 | |
| 8 | 2022 | 26 | |
| 9 | 2016 | 22 | |
| 10 | 2021 | 22 | |
| 11 | 2021 | 21 | |
| 12 | 2020 | 21 | |
| 13 | 2021 | 20 | |
| 14 | 2023 | 19 | |
| 15 | 2021 | 18 | |
| 16 | 2022 | 18 | |
| 17 | 2023 | 18 | |
| 18 | 2024 | 18 | |
| 19 | 2021 | 17 | |
| 20 | 2023 | 17 |
About Siting Li
Siting Li is a scholar working on Molecular Biology, Oncology, Atmospheric Science, Food Science and Cancer Research, having authored 110 papers that have together received 987 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (9 papers), Atmospheric chemistry and aerosols (8 papers), Protein Hydrolysis and Bioactive Peptides (7 papers), Systemic Lupus Erythematosus Research (6 papers), CRISPR and Genetic Engineering (6 papers), biodegradable polymer synthesis and properties (5 papers), Atmospheric aerosols and clouds (5 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Cancer Research (154 citations), Molecular Biology (532 citations), Microbiology (23 citations), Biotechnology (33 citations) and Rheumatology (49 citations). Siting Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Feng Ge, Qian Xiong, Xue Yang, Ying Wu, Junjie Chen, Mengfan Tang, Chao Wang, Yingmin Jia, Xu Feng and Mengtao Li. Their work appears in journals such as Frontiers in Immunology, Scientific Reports, LWT, Atmospheric chemistry and physics and Nucleic Acids Research.
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.