Maosong Qi
Impact in
- Cell Biology top 5%
- Proteoglycans and glycosaminoglycans research
- Caveolin-1 and cellular processes
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- Fungal and yeast genetics research
- Gene Regulatory Network Analysis
- Melanoma and MAPK Pathways
- Glycosylation and Glycoproteins Research
Papers in
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- Fungal and yeast genetics research 4
- Genomics and Chromatin Dynamics 2
- Plant Reproductive Biology 2
- Signaling Pathways in Disease 1
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- Caveolin-1 and cellular processes 2
- Microtubule and mitosis dynamics 2
- Co-authors
- Elaine A. Elion (6 shared papers)David Simpson (2 shared papers)Takashi Muramatsu (1 shared paper)Kenji Kadomatsu (1 shared paper)Shinya Ikematsu (1 shared paper)Nobuaki Maeda (1 shared paper)Keiko Ichihara-Tanaka (1 shared paper)Masaharu Noda (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Journal of Cell Science (2 papers)Molecular Biology of the Cell (1 paper)Journal of Cellular Biochemistry (1 paper)The EMBO Journal (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Maosong Qi
10 papers receiving 857 citations
Peers
Comparison fields: 5 of 97
- Cell Biology 250
- Molecular Biology 635
- Immunology and Allergy 46
- Cancer Research 72
- Pharmacology 80
Countries citing papers authored by Maosong Qi
This map shows the geographic impact of Maosong Qi'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 Maosong Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maosong Qi more than expected).
Fields of papers citing papers by Maosong Qi
This network shows the impact of papers produced by Maosong Qi. 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 Maosong Qi. The network helps show where Maosong Qi may publish in the future.
Co-authors
The 24 scholars most cited alongside Maosong Qi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 432 | |
| 2 | 2001 | 136 | |
| 3 | 2004 | 62 | |
| 4 | 2014 | 46 | |
| 5 | 2006 | 43 | |
| 6 | 2005 | 42 | |
| 7 | 2009 | 30 | |
| 8 | 2008 | 29 | |
| 9 | 2004 | 25 | |
| 10 | 2005 | 22 |
About Maosong Qi
Maosong Qi is a scholar working on Molecular Biology, Cell Biology, Pharmacology, Physiology and Genetics, having authored 10 papers that have together received 867 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (4 papers), Genomics and Chromatin Dynamics (2 papers), Plant Reproductive Biology (2 papers), Fungal Biology and Applications (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Caveolin-1 and cellular processes (2 papers), Microtubule and mitosis dynamics (2 papers) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Cell Biology (250 citations), Molecular Biology (635 citations), Immunology and Allergy (46 citations), Cancer Research (72 citations) and Pharmacology (80 citations). Maosong Qi has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Elaine A. Elion, David Simpson, Takashi Muramatsu, Kenji Kadomatsu, Shinya Ikematsu, Nobuaki Maeda, Keiko Ichihara-Tanaka, Masaharu Noda, Sadatoshi Sakuma and Keith R. Solomon. Their work appears in journals such as Journal of Biological Chemistry, Journal of Cell Science, Molecular Biology of the Cell, Journal of Cellular Biochemistry and The EMBO Journal.
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.