Na Niu
- Molecular Biology top 10%
- Oncology top 10%
- Cancer Research top 5%
- Immunology top 10%
- Cell Biology top 5%
- Co-authors
- Imelda Mercado‐UribeJinyun LiuJiang GuJinsong LiuRuixue CuiChristine KortewegJun YaoRobert C. Bast
- Topics
- Histiocytic Disorders and Treatments (14 papers)Microtubule and mitosis dynamics (6 papers)Parvovirus B19 Infection Studies (6 papers)
- Journals
- BloodPLoS ONENeuroImage
- Partner nations
- ChinaUnited StatesAustria
In The Last Decade
Na Niu
96 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 112
- Molecular Biology 834
- Oncology 438
- Cancer Research 378
- Immunology 337
- Cell Biology 312
Countries citing papers authored by Na Niu
This map shows the geographic impact of Na Niu'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 Na Niu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Niu more than expected).
Fields of papers citing papers by Na Niu
This network shows the impact of papers produced by Na Niu. 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 Na Niu. The network helps show where Na Niu may publish in the future.
Co-authorship network of co-authors of Na Niu
This figure shows the co-authorship network connecting the top 25 collaborators of Na Niu. A scholar is included among the top collaborators of Na Niu 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 Na Niu. Na Niu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 5 | |
| 4 | 19 | |
| 5 | 18 | |
| 6 | 54 | |
| 7 | 6 | |
| 8 | 36 | |
| 9 | 6 | |
| 10 | 17 | |
| 11 | [Relationship of ox-LDL/LOX-1 and vascular endothelial dysfunction of diet-induced obese immature rats and nicotinic acid's intervention outcomes]. | 5 |
| 12 | Genetic Analysis of Agronomic Traits Related to Yield Based on Major Gene Plus Polygene Model in Wheat | 1 |
| 13 | 25 | |
| 14 | 1 | |
| 15 | 55 | |
| 16 | CLONING AND EXPRESSION ANALYSIS OF RPL21 GENE IN WHEAT (Triticum aestivum L.) | 1 |
| 17 | 1 | |
| 18 | Effects of different hormone combinations and AgNO3 on in vitro regeneration from cotyledon of two genotypes of heading Chinese cabbage. | 1 |
| 19 | 26 | |
| 20 | OPTIMIZATION OF TWO-DIMENSIONAL GEL ELECTROPHORESIS FOR PROTEOME FROM WHEAT ANTHERS | 0 |
About Na Niu
Na Niu is a scholar working on Physiology, Cell Biology and Oncology, having authored 103 papers that have together received 2.1k indexed citations. Recurring topics across this work include Histiocytic Disorders and Treatments (14 papers), Microtubule and mitosis dynamics (6 papers) and Parvovirus B19 Infection Studies (6 papers). The work is most often cited by research in Cancer Research (378 citations), Cell Biology (312 citations) and Rheumatology (258 citations). Na Niu has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Imelda Mercado‐Uribe, Jinyun Liu, Jiang Gu, Jinsong Liu, Ruixue Cui, Christine Korteweg, Jun Yao, Robert C. Bast, Anil K. Sood and Weiwei Shen. Their work appears in journals such as Blood, PLoS ONE and NeuroImage.
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.