Fang Ni
- Neurology top 5%
- Infectious Diseases top 5%
- Electrical and Electronic Engineering
- Pulmonary and Respiratory Medicine top 10%
- Oncology
- Co-authors
- Maoguo LiYinling WangLun WangShuihong ChenYi HuLu YangYihua WangXiaofan Liu
- Topics
- CAR-T cell therapy research (9 papers)Electrochemical sensors and biosensors (6 papers)Immune Cell Function and Interaction (5 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaJournal of Agricultural and Food Chemistry
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Fang Ni
54 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Neurology 373
- Infectious Diseases 266
- Electrical and Electronic Engineering 263
- Pulmonary and Respiratory Medicine 213
- Oncology 197
Countries citing papers authored by Fang Ni
This map shows the geographic impact of Fang Ni'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 Fang Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Ni more than expected).
Fields of papers citing papers by Fang Ni
This network shows the impact of papers produced by Fang Ni. 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 Fang Ni. The network helps show where Fang Ni may publish in the future.
Co-authorship network of co-authors of Fang Ni
This figure shows the co-authorship network connecting the top 25 collaborators of Fang Ni. A scholar is included among the top collaborators of Fang Ni 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 Fang Ni. Fang Ni 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 | 1 | |
| 3 | 5 | |
| 4 | 9 | |
| 5 | 3 | |
| 6 | 10 | |
| 7 | Septic Shock, Renal Abscess, and Bacteremia Due to Peptoniphilus asaccharolyticus in a Woman with Nephrosis and Diabetes Mellitus: Case Report and Literature Review | 3 |
| 8 | 90 | |
| 9 | 7 | |
| 10 | 6 | |
| 11 | 17 | |
| 12 | 6 | |
| 13 | 3-month, 6-month, 9-month, and 12-month respiratory outcomes in patients following COVID-19-related hospitalisation: a prospective studybreakdown → | 433 |
| 14 | 9 | |
| 15 | 29 | |
| 16 | 23 | |
| 17 | 24 | |
| 18 | 22 | |
| 19 | 22 | |
| 20 | 39 |
About Fang Ni
Fang Ni is a scholar working on Endocrinology, Bioengineering and Molecular Medicine, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include CAR-T cell therapy research (9 papers), Electrochemical sensors and biosensors (6 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Neurology (373 citations), Bioengineering (137 citations) and Electrochemistry (147 citations). Fang Ni has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Maoguo Li, Yinling Wang, Lun Wang, Shuihong Chen, Yi Hu, Lu Yang, Yihua Wang, Xiaofan Liu, Rob M. Ewing and Hanxiang Nie. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Agricultural and Food 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.