Junkuo Li
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Epigenetics and DNA Methylation 3
- Cancer-related gene regulation 2
- Signaling Pathways in Disease 2
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- Concrete Corrosion and Durability 2
- Co-authors
- Fuyou Zhou (9 shared papers)Sai‐Ching J. Yeung (3 shared papers)Lu Wang (3 shared papers)Hao Zhang (4 shared papers)Dianzheng Zhang (3 shared papers)Yusheng Lin (2 shared papers)Xiao Xiong (2 shared papers)Yi Guo (2 shared papers)
- Journals
- Annals of Medicine (2 papers)Molecular Cancer (1 paper)Gastroenterology (1 paper)Bioorganic Chemistry (1 paper)Journal of Clinical Laboratory Analysis (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Junkuo Li
19 papers receiving 325 citations
Junkuo Li's Hit Papers
Peers
Comparison fields: 5 of 69
- Cancer Research 126
- Periodontics 14
- Molecular Biology 191
- Biochemistry 19
- Oncology 36
Countries citing papers authored by Junkuo Li
This map shows the geographic impact of Junkuo 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 Junkuo Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junkuo Li more than expected).
Fields of papers citing papers by Junkuo Li
This network shows the impact of papers produced by Junkuo 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 Junkuo Li. The network helps show where Junkuo Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Junkuo 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 | A signature of saliva-derived exosomal small RNAs as predicting biomarker for esophageal carcinoma: a multicenter prospective study Hit paper breakdown → | 2022 | 149 |
| 2 | 2023 | 43 | |
| 3 | 2021 | 26 | |
| 4 | 2019 | 21 | |
| 5 | 2023 | 17 | |
| 6 | 2021 | 14 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 11 | |
| 9 | 2020 | 5 | |
| 10 | 2024 | 5 | |
| 11 | 2022 | 4 | |
| 12 | 2023 | 4 | |
| 13 | 2021 | 4 | |
| 14 | [Predictive value of P53, Ki-67, HER2 protein detection in neoadjuvant chemotherapy for adenocarcinoma of gastroesophageal junction]. | 2015 | 3 |
| 15 | 2023 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2022 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2022 | 1 |
About Junkuo Li
Junkuo Li is a scholar working on Molecular Biology, Civil and Structural Engineering, Oncology, Pollution and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 327 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), Ferroptosis and cancer prognosis (2 papers), Smart Materials for Construction (2 papers), Cancer-related gene regulation (2 papers), Concrete Corrosion and Durability (2 papers), Signaling Pathways in Disease (2 papers), Cancer-related molecular mechanisms research (2 papers) and Molecular Sensors and Ion Detection (1 paper). The work is most often cited by research in Cancer Research (126 citations), Periodontics (14 citations), Molecular Biology (191 citations), Biochemistry (19 citations) and Oncology (36 citations). Junkuo Li has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Fuyou Zhou, Sai‐Ching J. Yeung, Lu Wang, Hao Zhang, Dianzheng Zhang, Yusheng Lin, Xiao Xiong, Yi Guo, Yichen Luo and Yuping Chen. Their work appears in journals such as Annals of Medicine, Molecular Cancer, Gastroenterology, Bioorganic Chemistry and Journal of Clinical Laboratory Analysis.
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.