Longkuan Xiang
- Pharmacology top 1%
- Molecular Biology top 10%
- Biotechnology top 2%
- Organic Chemistry top 10%
- Plant Science
- Co-authors
- Bradley S. MooreJohn A. KalaitzisMiho IzumikawaChristian HertweckQian ChengJoseph P. NoelDario MeluzziBen Shen
- Topics
- Microbial Natural Products and Biosynthesis (15 papers)Plant Gene Expression Analysis (4 papers)Fungal Biology and Applications (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Longkuan Xiang
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 68
- Pharmacology 747
- Molecular Biology 697
- Biotechnology 302
- Organic Chemistry 249
- Plant Science 170
Countries citing papers authored by Longkuan Xiang
This map shows the geographic impact of Longkuan Xiang'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 Longkuan Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longkuan Xiang more than expected).
Fields of papers citing papers by Longkuan Xiang
This network shows the impact of papers produced by Longkuan Xiang. 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 Longkuan Xiang. The network helps show where Longkuan Xiang may publish in the future.
Co-authorship network of co-authors of Longkuan Xiang
This figure shows the co-authorship network connecting the top 25 collaborators of Longkuan Xiang. A scholar is included among the top collaborators of Longkuan Xiang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Longkuan Xiang. Longkuan Xiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 7 | |
| 3 | 44 | |
| 4 | Preclinical development of Aneustat (OMN54): a multifunctional multi-targeted natural product derivative with anti-tumor, anti-inflammatory and immuno-modulatory activity | 1 |
| 5 | 111 | |
| 6 | 4 | |
| 7 | 125 | |
| 8 | 38 | |
| 9 | 95 | |
| 10 | 53 | |
| 11 | 11 | |
| 12 | 56 | |
| 13 | 56 | |
| 14 | 50 | |
| 15 | 82 | |
| 16 | 91 | |
| 17 | 53 | |
| 18 | 47 | |
| 19 | 41 | |
| 20 | 40 |
About Longkuan Xiang
Longkuan Xiang is a scholar working on Pharmacology, Biotechnology and Nutrition and Dietetics, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (15 papers), Plant Gene Expression Analysis (4 papers) and Fungal Biology and Applications (4 papers). The work is most often cited by research in Pharmacology (747 citations), Biotechnology (302 citations) and Molecular Biology (697 citations). Longkuan Xiang has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Bradley S. Moore, John A. Kalaitzis, Miho Izumikawa, Christian Hertweck, Qian Cheng, Joseph P. Noel, Dario Meluzzi, Ben Shen, M.B. Austin and Paul R. Shipley. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological 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.