Qi Yan
Impact in
- Immunology top 10%
- Galectins and Cancer Biology
- Biotechnology top 10%
- Enzyme Production and Characterization
Papers in
-
- Glycosylation and Glycoproteins Research 9
- Fungal and yeast genetics research 6
-
- Biofuel production and bioconversion 5
- Co-authors
- William J. Lennarz (9 shared papers)Tadashi Suzuki (1 shared paper)James C. Paulson (2 shared papers)Margarida Amado (2 shared papers)Elena M. Comelli (2 shared papers)Glenn D. Prestwich (1 shared paper)Neta Dean (1 shared paper)John F. Cipollo (1 shared paper)
- Journals
- Journal of Biological Chemistry (7 papers)Proceedings of the National Academy of Sciences (2 papers)Biochemical and Biophysical Research Communications (1 paper)iScience (1 paper)Small Methods (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Qi Yan
18 papers receiving 668 citations
Peers
Comparison fields: 5 of 67
- Immunology 227
- Biotechnology 72
- Molecular Biology 552
- Cell Biology 118
- Organic Chemistry 187
Countries citing papers authored by Qi Yan
This map shows the geographic impact of Qi Yan'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 Qi Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Yan more than expected).
Fields of papers citing papers by Qi Yan
This network shows the impact of papers produced by Qi Yan. 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 Qi Yan. The network helps show where Qi Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi Yan, 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 | 2002 | 132 | |
| 2 | 2006 | 104 | |
| 3 | 1998 | 69 | |
| 4 | 2001 | 57 | |
| 5 | 1999 | 50 | |
| 6 | 2003 | 42 | |
| 7 | 2004 | 42 | |
| 8 | 1999 | 37 | |
| 9 | 2016 | 29 | |
| 10 | 2009 | 28 | |
| 11 | 2004 | 24 | |
| 12 | 2003 | 24 | |
| 13 | 2002 | 16 | |
| 14 | 2024 | 11 | |
| 15 | 2003 | 10 | |
| 16 | 2025 | 2 | |
| 17 | 2025 | 1 | |
| 18 | Tsinghua Hephaestus 2014 AdultSize Team Description | 2014 | 1 |
| 19 | 2026 | 0 | |
| 20 | 2026 | 0 |
About Qi Yan
Qi Yan is a scholar working on Molecular Biology, Biomedical Engineering, Biotechnology, Organic Chemistry and Immunology, having authored 20 papers that have together received 679 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (9 papers), Fungal and yeast genetics research (6 papers), Biofuel production and bioconversion (5 papers), Enzyme Production and Characterization (4 papers), Carbohydrate Chemistry and Synthesis (3 papers), Galectins and Cancer Biology (2 papers), Cellular transport and secretion (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Immunology (227 citations), Biotechnology (72 citations), Molecular Biology (552 citations), Cell Biology (118 citations) and Organic Chemistry (187 citations). Qi Yan has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include William J. Lennarz, Tadashi Suzuki, James C. Paulson, Margarida Amado, Elena M. Comelli, Glenn D. Prestwich, Neta Dean, John F. Cipollo, Robert B. Trimble and David A. Goldberg. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications, iScience and Small Methods.
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.