Lele Cong
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
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- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
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- Circular RNAs in diseases 2
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- Cancer-related molecular mechanisms research 4
- Cancer Genomics and Diagnostics 2
- Co-authors
- Xianling Cong (20 shared papers)Zilong Zhou (1 shared paper)Hongyan Sun (7 shared papers)Hongyan Sun (4 shared papers)Miao Hao (5 shared papers)Dan Dang (1 shared paper)Chuan Zhang (1 shared paper)Nan Wu (2 shared papers)
- Journals
- Knowledge-Based Systems (2 papers)Journal of Cancer (2 papers)Journal of Oncology (2 papers)Journal of Integrative Neuroscience (2 papers)Cell Death Discovery (1 paper)
- Partner nations
- ChinaNetherlands
In The Last Decade
Lele Cong
23 papers receiving 400 citations
Peers
Comparison fields: 5 of 79
- Cancer Research 84
- Oncology 107
- Dermatology 27
- Molecular Biology 145
- Immunology 35
Countries citing papers authored by Lele Cong
This map shows the geographic impact of Lele Cong'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 Lele Cong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lele Cong more than expected).
Fields of papers citing papers by Lele Cong
This network shows the impact of papers produced by Lele Cong. 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 Lele Cong. The network helps show where Lele Cong may publish in the future.
Co-authors
The 25 scholars most cited alongside Lele Cong, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 127 | |
| 2 | 2018 | 36 | |
| 3 | 2021 | 30 | |
| 4 | 2018 | 25 | |
| 5 | 2023 | 25 | |
| 6 | 2020 | 21 | |
| 7 | 2015 | 17 | |
| 8 | 2017 | 16 | |
| 9 | 2020 | 14 | |
| 10 | 2021 | 10 | |
| 11 | 2020 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2018 | 9 | |
| 14 | 2021 | 9 | |
| 15 | 2017 | 8 | |
| 16 | 2017 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2023 | 6 |
About Lele Cong
Lele Cong is a scholar working on Molecular Biology, Cancer Research, Oncology, Dermatology and Cell Biology, having authored 23 papers that have together received 406 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Alzheimer's disease research and treatments (2 papers), Cancer Genomics and Diagnostics (2 papers), Digital Imaging for Blood Diseases (2 papers), Drug Transport and Resistance Mechanisms (2 papers), melanin and skin pigmentation (2 papers), Circular RNAs in diseases (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Cancer Research (84 citations), Oncology (107 citations), Dermatology (27 citations), Molecular Biology (145 citations) and Immunology (35 citations). Lele Cong has collaborated with scholars based in China and Netherlands. Frequent co-authors include Xianling Cong, Zilong Zhou, Hongyan Sun, Hongyan Sun, Miao Hao, Dan Dang, Chuan Zhang, Nan Wu, Tie Liu and Chenlu Liu. Their work appears in journals such as Knowledge-Based Systems, Journal of Cancer, Journal of Oncology, Journal of Integrative Neuroscience and Cell Death Discovery.
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.