Ming Xia Fang
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Antibiotic Resistance in Bacteria 8
-
- Cancer-related molecular mechanisms research 6
- Co-authors
- Hongke Zeng (11 shared papers)Yiyu Deng (9 shared papers)Di Xie (4 shared papers)Chunbo Chen (4 shared papers)Arundhati Majumder (3 shared papers)Xinming Li (9 shared papers)Eng‐Ang Ling (3 shared papers)Chunyun Wu (3 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)PLoS ONE (3 papers)Acta Biochimica et Biophysica Sinica (2 papers)Biochemical and Biophysical Research Communications (2 papers)Medicine (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ming Xia Fang
96 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 137
- Molecular Medicine 122
- Neurology 185
- Cancer Research 191
- Endocrinology 69
- Developmental Neuroscience 45
Countries citing papers authored by Ming Xia Fang
This map shows the geographic impact of Ming Xia Fang'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 Ming Xia Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Xia Fang more than expected).
Fields of papers citing papers by Ming Xia Fang
This network shows the impact of papers produced by Ming Xia Fang. 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 Ming Xia Fang. The network helps show where Ming Xia Fang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Xia Fang, 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 72 | |
| 2 | 2014 | 68 | |
| 3 | 2015 | 66 | |
| 4 | 2013 | 61 | |
| 5 | 2013 | 60 | |
| 6 | 2015 | 60 | |
| 7 | 2020 | 60 | |
| 8 | 2012 | 53 | |
| 9 | 2014 | 53 | |
| 10 | 2016 | 51 | |
| 11 | 2018 | 49 | |
| 12 | 2000 | 46 | |
| 13 | 2013 | 46 | |
| 14 | 1995 | 45 | |
| 15 | 2018 | 42 | |
| 16 | 2019 | 40 | |
| 17 | 2001 | 39 | |
| 18 | 2010 | 37 | |
| 19 | 2017 | 37 | |
| 20 | 2015 | 35 |
About Ming Xia Fang
Ming Xia Fang is a scholar working on Molecular Medicine, Cancer Research, Neurology, Molecular Biology and Pharmacology, having authored 102 papers that have together received 1.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (8 papers), Fungal Biology and Applications (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Cancer-related molecular mechanisms research (6 papers), Bacterial Genetics and Biotechnology (5 papers), Cancer-related Molecular Pathways (5 papers), RNA modifications and cancer (4 papers) and Bacteriophages and microbial interactions (4 papers). The work is most often cited by research in Molecular Medicine (122 citations), Neurology (185 citations), Cancer Research (191 citations), Endocrinology (69 citations) and Developmental Neuroscience (45 citations). Ming Xia Fang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hongke Zeng, Yiyu Deng, Di Xie, Chunbo Chen, Arundhati Majumder, Xinming Li, Eng‐Ang Ling, Chunyun Wu, Yun Yuan and Qianpeng Han. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Acta Biochimica et Biophysica Sinica, Biochemical and Biophysical Research Communications 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.