Hai Qian
Impact in
-
- Diabetes Treatment and Management
- Microbiology top 2%
- Antimicrobial Peptides and Activities
Papers in
-
- Chemical Synthesis and Analysis 19
- Cancer therapeutics and mechanisms 19
- Receptor Mechanisms and Signaling 17
- Oncology 44
- Drug Transport and Resistance Mechanisms 23
- Co-authors
- Wenlong Huang (112 shared papers)Qianqian Qiu (44 shared papers)Wei Shi (47 shared papers)Zheng Li (20 shared papers)Chunlei Tang (4 shared papers)Shu Chen (1 shared paper)Yuxuan Dai (26 shared papers)Chunxia Liu (19 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry (25 papers)European Journal of Medicinal Chemistry (24 papers)Bioorganic Chemistry (16 papers)Journal of Medicinal Chemistry (10 papers)Chinese Chemical Letters (7 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Hai Qian
196 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 152
- Endocrinology, Diabetes and Metabolism 581
- Microbiology 168
- Biomaterials 334
- Molecular Biology 1.7k
- Toxicology 76
Countries citing papers authored by Hai Qian
This map shows the geographic impact of Hai Qian'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 Hai Qian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Qian more than expected).
Fields of papers citing papers by Hai Qian
This network shows the impact of papers produced by Hai Qian. 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 Hai Qian. The network helps show where Hai Qian may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai Qian, 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 203 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 247 | |
| 2 | 2017 | 137 | |
| 3 | 2016 | 77 | |
| 4 | 2017 | 76 | |
| 5 | 2017 | 71 | |
| 6 | 2013 | 61 | |
| 7 | 2019 | 59 | |
| 8 | 2016 | 52 | |
| 9 | 2011 | 51 | |
| 10 | 2018 | 51 | |
| 11 | 2019 | 49 | |
| 12 | 2012 | 47 | |
| 13 | 2018 | 46 | |
| 14 | 2019 | 45 | |
| 15 | 2013 | 43 | |
| 16 | 2022 | 43 | |
| 17 | 2017 | 42 | |
| 18 | 2022 | 42 | |
| 19 | 2014 | 41 | |
| 20 | 2019 | 40 |
About Hai Qian
Hai Qian is a scholar working on Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism, Organic Chemistry and Surgery, having authored 203 papers that have together received 3.5k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (34 papers), Drug Transport and Resistance Mechanisms (23 papers), Pancreatic function and diabetes (20 papers), Chemical Synthesis and Analysis (19 papers), Cancer therapeutics and mechanisms (19 papers), Receptor Mechanisms and Signaling (17 papers), Pain Mechanisms and Treatments (15 papers) and Neuropeptides and Animal Physiology (15 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (581 citations), Microbiology (168 citations), Biomaterials (334 citations), Molecular Biology (1.7k citations) and Toxicology (76 citations). Hai Qian has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Wenlong Huang, Qianqian Qiu, Wei Shi, Zheng Li, Chunlei Tang, Shu Chen, Yuxuan Dai, Chunxia Liu, Xin Deng and Miaobo Pan. Their work appears in journals such as Bioorganic & Medicinal Chemistry, European Journal of Medicinal Chemistry, Bioorganic Chemistry, Journal of Medicinal Chemistry and Chinese Chemical Letters.
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.