Kai Lv
Impact in
- Molecular Medicine top 5%
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
Papers in
-
- Cancer therapeutics and mechanisms 29
- Phenothiazines and Benzothiazines Synthesis and Activities 13
-
- Tuberculosis Research and Epidemiology 13
- Co-authors
- Mingliang Liu (51 shared papers)Huiyuan Guo (20 shared papers)Yu Lu (22 shared papers)Apeng Wang (28 shared papers)Lian‐Shun Feng (8 shared papers)Yun Chai (9 shared papers)Dong Ma (13 shared papers)Guowei Li (10 shared papers)
- Journals
- European Journal of Medicinal Chemistry (23 papers)Bioorganic & Medicinal Chemistry Letters (5 papers)Bioorganic Chemistry (5 papers)ACS Medicinal Chemistry Letters (4 papers)Bioorganic & Medicinal Chemistry (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Kai Lv
88 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 110
- Molecular Medicine 111
- Infectious Diseases 361
- Organic Chemistry 598
- Molecular Biology 691
- Pollution 110
Countries citing papers authored by Kai Lv
This map shows the geographic impact of Kai Lv'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 Kai Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Lv more than expected).
Fields of papers citing papers by Kai Lv
This network shows the impact of papers produced by Kai Lv. 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 Kai Lv. The network helps show where Kai Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Lv, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 111 | |
| 2 | 2010 | 108 | |
| 3 | 2017 | 55 | |
| 4 | 2012 | 53 | |
| 5 | 2017 | 40 | |
| 6 | 2011 | 39 | |
| 7 | 2023 | 38 | |
| 8 | 2016 | 38 | |
| 9 | 2018 | 36 | |
| 10 | 2017 | 34 | |
| 11 | 2019 | 33 | |
| 12 | 2021 | 31 | |
| 13 | 2022 | 31 | |
| 14 | 2023 | 30 | |
| 15 | 2023 | 30 | |
| 16 | 2011 | 30 | |
| 17 | 2024 | 30 | |
| 18 | 2011 | 29 | |
| 19 | 2018 | 29 | |
| 20 | 2018 | 28 |
About Kai Lv
Kai Lv is a scholar working on Molecular Biology, Infectious Diseases, Organic Chemistry, Epidemiology and Biomedical Engineering, having authored 89 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (29 papers), Phenothiazines and Benzothiazines Synthesis and Activities (13 papers), Tuberculosis Research and Epidemiology (13 papers), Antibiotic Resistance in Bacteria (10 papers), Antibiotics Pharmacokinetics and Efficacy (9 papers), Quinazolinone synthesis and applications (9 papers), Hepatitis B Virus Studies (8 papers) and Nanoplatforms for cancer theranostics (7 papers). The work is most often cited by research in Molecular Medicine (111 citations), Infectious Diseases (361 citations), Organic Chemistry (598 citations), Molecular Biology (691 citations) and Pollution (110 citations). Kai Lv has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Mingliang Liu, Huiyuan Guo, Yu Lu, Apeng Wang, Lian‐Shun Feng, Yun Chai, Dong Ma, Guowei Li, Xiaowei Liu and Bo Wang. Their work appears in journals such as European Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Bioorganic Chemistry, ACS Medicinal Chemistry Letters and Bioorganic & Medicinal Chemistry.
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.