Ruifang Yang
- Molecular Biology
- Complementary and alternative medicine top 5%
- Epidemiology
- Pediatrics, Perinatology and Child Health
- Physiology
- Co-authors
- Xiu‐Juan MaDing‐Feng SuAijun LiuJianguo LiuLin LiLu GaoXiaolu TangXin Ni
- Topics
- Tuberculosis Research and Epidemiology (4 papers)Multiple Myeloma Research and Treatments (3 papers)Mycobacterium research and diagnosis (3 papers)
- Journals
- The FASEB JournalBiochemical and Biophysical Research CommunicationsFree Radical Biology and Medicine
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Ruifang Yang
20 papers receiving 306 citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 109
- Complementary and alternative medicine 70
- Epidemiology 37
- Pediatrics, Perinatology and Child Health 34
- Physiology 34
Countries citing papers authored by Ruifang Yang
This map shows the geographic impact of Ruifang Yang'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 Ruifang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruifang Yang more than expected).
Fields of papers citing papers by Ruifang Yang
This network shows the impact of papers produced by Ruifang Yang. 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 Ruifang Yang. The network helps show where Ruifang Yang may publish in the future.
Co-authorship network of co-authors of Ruifang Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Ruifang Yang. A scholar is included among the top collaborators of Ruifang Yang 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 Ruifang Yang. Ruifang Yang 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 | 2 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 1 | |
| 8 | 14 | |
| 9 | 16 | |
| 10 | 8 | |
| 11 | 48 | |
| 12 | [mir-17-92 cluster and tumor]. | 1 |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 109 | |
| 17 | 35 | |
| 18 | 38 | |
| 19 | 4 | |
| 20 | [Primary study of arsenic trioxide inhibits abdomino-metastatic tumor formation of human ovarian carcinoma in nude mice and its mechanisms]. | 4 |
About Ruifang Yang
Ruifang Yang is a scholar working on Aging, Behavioral Neuroscience and Biological Psychiatry, having authored 23 papers that have together received 312 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (4 papers), Multiple Myeloma Research and Treatments (3 papers) and Mycobacterium research and diagnosis (3 papers). The work is most often cited by research in Behavioral Neuroscience (31 citations), Complementary and alternative medicine (70 citations) and Pharmacology (27 citations). Ruifang Yang has collaborated with scholars based in China, United States and France. Frequent co-authors include Xiu‐Juan Ma, Ding‐Feng Su, Aijun Liu, Jianguo Liu, Lin Li, Lu Gao, Xiaolu Tang, Xin Ni, Xingji You and Matthew C. Zimmerman. Their work appears in journals such as The FASEB Journal, Biochemical and Biophysical Research Communications and Free Radical Biology and Medicine.
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.