Kunping Li
Impact in
- Insect Science top 10%
- Bee Products Chemical Analysis
-
- Traditional Chinese Medicine Analysis
Papers in
-
- Traditional Chinese Medicine Analysis 5
-
- Bee Products Chemical Analysis 5
- Co-authors
- Jiao Guo (10 shared papers)Miguel A. Pineda (6 shared papers)Xianglu Rong (7 shared papers)Jian Yun He (2 shared papers)Chenchen Feng (5 shared papers)Haowen Jiang (3 shared papers)Hui Wen (5 shared papers)Duosheng Luo (4 shared papers)
- Journals
- Evidence-based Complementary and Alternative Medicine (3 papers)Molecular Nutrition & Food Research (2 papers)Molecules (2 papers)Chemistry & Biodiversity (2 papers)Frontiers in Endocrinology (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Kunping Li
45 papers receiving 667 citations
Peers
Comparison fields: 5 of 77
- Insect Science 71
- Complementary and alternative medicine 62
- Cancer Research 81
- Aging 8
- Molecular Biology 181
Countries citing papers authored by Kunping Li
This map shows the geographic impact of Kunping 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 Kunping Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunping Li more than expected).
Fields of papers citing papers by Kunping Li
This network shows the impact of papers produced by Kunping 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 Kunping Li. The network helps show where Kunping Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Kunping 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
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 84 | |
| 2 | 2021 | 54 | |
| 3 | 2021 | 46 | |
| 4 | 2019 | 40 | |
| 5 | 2022 | 40 | |
| 6 | 2021 | 39 | |
| 7 | 2016 | 37 | |
| 8 | 2019 | 37 | |
| 9 | 2020 | 36 | |
| 10 | 2022 | 26 | |
| 11 | 2022 | 24 | |
| 12 | 2017 | 21 | |
| 13 | 2020 | 18 | |
| 14 | 2022 | 16 | |
| 15 | 2022 | 14 | |
| 16 | 2013 | 13 | |
| 17 | 2016 | 12 | |
| 18 | 2019 | 12 | |
| 19 | 2022 | 11 | |
| 20 | 2022 | 11 |
About Kunping Li
Kunping Li is a scholar working on Complementary and alternative medicine, Insect Science, Molecular Biology, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 48 papers that have together received 679 indexed citations. Recurring topics across this work include Bee Products Chemical Analysis (5 papers), Traditional Chinese Medicine Analysis (5 papers), Phytochemistry and Biological Activities (4 papers), Renal cell carcinoma treatment (3 papers), Diet, Metabolism, and Disease (3 papers), Natural product bioactivities and synthesis (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Plant chemical constituents analysis (2 papers). The work is most often cited by research in Insect Science (71 citations), Complementary and alternative medicine (62 citations), Cancer Research (81 citations), Aging (8 citations) and Molecular Biology (181 citations). Kunping Li has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jiao Guo, Miguel A. Pineda, Xianglu Rong, Jian Yun He, Chenchen Feng, Haowen Jiang, Hui Wen, Duosheng Luo, Yonglin Wu and Xuguang Zhang. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Molecular Nutrition & Food Research, Molecules, Chemistry & Biodiversity and Frontiers in Endocrinology.
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.