Tian Luan
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- Natural product bioactivities and synthesis 3
- Circular RNAs in diseases 3
-
- Synthesis and biological activity 6
- Co-authors
- Wan Du (1 shared paper)Mingtian Xu (1 shared paper)Lihong Wang (3 shared papers)Jing Lin (3 shared papers)Zhe‐Shan Quan (6 shared papers)Shunheng Zhou (2 shared papers)Wei Jiang (2 shared papers)Štefan Schwarz (4 shared papers)
- Journals
- Molecules (5 papers)Journal of Antimicrobial Chemotherapy (3 papers)Chemistry & Biodiversity (2 papers)Journal of Enzyme Inhibition and Medicinal Chemistry (1 paper)Frontiers in Microbiology (1 paper)
- Partner nations
- ChinaGermanyUnited Kingdom
In The Last Decade
Tian Luan
39 papers receiving 792 citations
Peers
Comparison fields: 5 of 108
- Cancer Research 271
- Molecular Medicine 70
- Endocrinology 30
- Molecular Biology 392
- Computational Mechanics 74
Countries citing papers authored by Tian Luan
This map shows the geographic impact of Tian Luan'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 Tian Luan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tian Luan more than expected).
Fields of papers citing papers by Tian Luan
This network shows the impact of papers produced by Tian Luan. 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 Tian Luan. The network helps show where Tian Luan may publish in the future.
Co-authors
The 25 scholars most cited alongside Tian Luan, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 110 | |
| 2 | 2017 | 99 | |
| 3 | 2019 | 80 | |
| 4 | 2013 | 58 | |
| 5 | 2009 | 52 | |
| 6 | 2023 | 31 | |
| 7 | 2019 | 28 | |
| 8 | 2019 | 25 | |
| 9 | 2015 | 23 | |
| 10 | 2017 | 22 | |
| 11 | 2019 | 22 | |
| 12 | 2021 | 21 | |
| 13 | 2020 | 20 | |
| 14 | 2019 | 19 | |
| 15 | 2023 | 18 | |
| 16 | 2021 | 18 | |
| 17 | 2020 | 18 | |
| 18 | 2017 | 17 | |
| 19 | 2024 | 15 | |
| 20 | 2024 | 15 |
About Tian Luan
Tian Luan is a scholar working on Molecular Biology, Organic Chemistry, Cancer Research, Immunology and Biomedical Engineering, having authored 47 papers that have together received 799 indexed citations. Recurring topics across this work include Synthesis and biological activity (6 papers), Bioactive Compounds and Antitumor Agents (4 papers), Viral Infections and Immunology Research (4 papers), Bacteriophages and microbial interactions (4 papers), Cancer-related molecular mechanisms research (4 papers), Antibiotic Resistance in Bacteria (4 papers), Natural product bioactivities and synthesis (3 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Cancer Research (271 citations), Molecular Medicine (70 citations), Endocrinology (30 citations), Molecular Biology (392 citations) and Computational Mechanics (74 citations). Tian Luan has collaborated with scholars based in China, Germany and United Kingdom. Frequent co-authors include Wan Du, Mingtian Xu, Lihong Wang, Jing Lin, Zhe‐Shan Quan, Shunheng Zhou, Wei Jiang, Štefan Schwarz, Siguo Liu and Weiguang Yuan. Their work appears in journals such as Molecules, Journal of Antimicrobial Chemotherapy, Chemistry & Biodiversity, Journal of Enzyme Inhibition and Medicinal Chemistry and Frontiers in Microbiology.
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.