Lanlan Wang
Impact in
- Molecular Medicine top 10%
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Angiogenesis and VEGF in Cancer 4
- Plant tissue culture and regeneration 4
- Advanced biosensing and bioanalysis techniques 3
- Plant Reproductive Biology 3
- DNA Repair Mechanisms 2
-
- MicroRNA in disease regulation 5
- Co-authors
- Rong-Na Ma (3 shared papers)Liping Jia (3 shared papers)Huaisheng Wang (3 shared papers)Wen-Li Jia (3 shared papers)Siqi Liu (3 shared papers)Yanni Ma (3 shared papers)Liushan Jiang (1 shared paper)Lei Shang (2 shared papers)
- Journals
- Scientific Reports (2 papers)Anti-Cancer Drugs (2 papers)International Immunopharmacology (2 papers)Sensors and Actuators B Chemical (2 papers)Biochemical Engineering Journal (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Lanlan Wang
51 papers receiving 745 citations
Peers
Comparison fields: 5 of 101
- Molecular Medicine 56
- Cancer Research 142
- Electrochemistry 49
- Molecular Biology 456
- Aging 6
Countries citing papers authored by Lanlan Wang
This map shows the geographic impact of Lanlan Wang'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 Lanlan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lanlan Wang more than expected).
Fields of papers citing papers by Lanlan Wang
This network shows the impact of papers produced by Lanlan Wang. 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 Lanlan Wang. The network helps show where Lanlan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lanlan Wang, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 71 | |
| 2 | 2016 | 67 | |
| 3 | 2019 | 50 | |
| 4 | 2014 | 47 | |
| 5 | 2018 | 47 | |
| 6 | 2018 | 43 | |
| 7 | 2017 | 39 | |
| 8 | 2019 | 37 | |
| 9 | 2011 | 29 | |
| 10 | 2017 | 27 | |
| 11 | 2011 | 27 | |
| 12 | 2018 | 25 | |
| 13 | 2016 | 21 | |
| 14 | 2019 | 20 | |
| 15 | 2018 | 16 | |
| 16 | 2020 | 15 | |
| 17 | 2013 | 14 | |
| 18 | 2015 | 13 | |
| 19 | 2021 | 12 | |
| 20 | 2014 | 12 |
About Lanlan Wang
Lanlan Wang is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Biomedical Engineering, having authored 54 papers that have together received 752 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Angiogenesis and VEGF in Cancer (4 papers), Plant tissue culture and regeneration (4 papers), Galectins and Cancer Biology (3 papers), Biosensors and Analytical Detection (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Plant Reproductive Biology (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Molecular Medicine (56 citations), Cancer Research (142 citations), Electrochemistry (49 citations), Molecular Biology (456 citations) and Aging (6 citations). Lanlan Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Rong-Na Ma, Liping Jia, Huaisheng Wang, Wen-Li Jia, Siqi Liu, Yanni Ma, Liushan Jiang, Lei Shang, Xueju Wei and Jia Yu. Their work appears in journals such as Scientific Reports, Anti-Cancer Drugs, International Immunopharmacology, Sensors and Actuators B Chemical and Biochemical Engineering Journal.
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.