Kun Nie
- Hematology top 5%
- Molecular Biology
- Pathology and Forensic Medicine
- Physiology top 5%
- Pulmonary and Respiratory Medicine
- Co-authors
- Xuezhu ZhangJeffrey S. WasserAdrian C. NewlandDavid J. KuterYujie JiaJames B. BusselGail MacikRoger M. Lyons
- Topics
- Platelet Disorders and Treatments (6 papers)Renal Diseases and Glomerulopathies (4 papers)Adenosine and Purinergic Signaling (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaBloodBritish Journal of Haematology
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Kun Nie
25 papers receiving 565 citations
Peers
Comparison fields: 5 of 70
- Hematology 268
- Molecular Biology 89
- Pathology and Forensic Medicine 81
- Physiology 77
- Pulmonary and Respiratory Medicine 74
Countries citing papers authored by Kun Nie
This map shows the geographic impact of Kun Nie'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 Kun Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Nie more than expected).
Fields of papers citing papers by Kun Nie
This network shows the impact of papers produced by Kun Nie. 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 Kun Nie. The network helps show where Kun Nie may publish in the future.
Co-authorship network of co-authors of Kun Nie
This figure shows the co-authorship network connecting the top 25 collaborators of Kun Nie. A scholar is included among the top collaborators of Kun Nie 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 Kun Nie. Kun Nie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 16 | |
| 8 | [6]-Gingerol Ameliorates Cisplatin-Induced Pica by Regulating the TPH/MAO-A/SERT/5-HT/5-HT3 Receptor System in Rats | 0 |
| 9 | 7 | |
| 10 | 17 | |
| 11 | 52 | |
| 12 | 203 | |
| 13 | Relation of synuclein gene polymorphisms with Parkinson's disease and its cognitive impairment | 3 |
| 14 | Correlation between cognitive dysfunction and plasma homocysteine level in patients with Parkinson's disease | 2 |
| 15 | Summary of the Liver Toxicity of Traditional Chinese Medicine | 1 |
| 16 | 76 | |
| 17 | 5 | |
| 18 | 80 | |
| 19 | 36 | |
| 20 | [Comparative analysis of ursolic acid in Crataegus pinnatifida Bge. var. major N.E. Br. before and after processing]. | 1 |
About Kun Nie
Kun Nie is a scholar working on Nephrology, Physiology and Hematology, having authored 29 papers that have together received 572 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (6 papers), Renal Diseases and Glomerulopathies (4 papers) and Adenosine and Purinergic Signaling (3 papers). The work is most often cited by research in Hematology (268 citations), Physiology (77 citations) and Complementary and alternative medicine (67 citations). Kun Nie has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xuezhu Zhang, Jeffrey S. Wasser, Adrian C. Newland, David J. Kuter, Yujie Jia, James B. Bussel, Gail Macik, Roger M. Lyons, Susie Jun and Jean‐François Viallard. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and British Journal of Haematology.
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.