Yi Dou
Impact in
- Cell Biology top 1%
- Hemoglobin structure and function
- Biophysics top 5%
Papers in
- Cell Biology 20
- Hemoglobin structure and function 20
-
- Heme Oxygenase-1 and Carbon Monoxide 8
- Porphyrin Metabolism and Disorders 4
- Protein Structure and Dynamics 3
- Co-authors
- John S. Olson (10 shared papers)Masao Ikeda‐Saito (14 shared papers)Anthony J. Wilkinson (4 shared papers)Raymund F. Eich (2 shared papers)Mark S. Hargrove (2 shared papers)Szymon Krzywda (2 shared papers)Tiansheng Li (2 shared papers)Hao Zhu (1 shared paper)
- Journals
- Journal of Biological Chemistry (8 papers)Biochemistry (7 papers)Journal of the American Chemical Society (2 papers)Medical Image Analysis (1 paper)Journal of Cellular Physiology (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Yi Dou
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 79
- Cell Biology 840
- Biophysics 99
- Physiology 301
- Pediatrics, Perinatology and Child Health 197
- Molecular Biology 725
Countries citing papers authored by Yi Dou
This map shows the geographic impact of Yi Dou'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 Yi Dou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Dou more than expected).
Fields of papers citing papers by Yi Dou
This network shows the impact of papers produced by Yi Dou. 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 Yi Dou. The network helps show where Yi Dou may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Dou, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 138 | |
| 2 | 1994 | 119 | |
| 3 | 1994 | 104 | |
| 4 | 2002 | 102 | |
| 5 | 2001 | 83 | |
| 6 | 2003 | 63 | |
| 7 | 1995 | 59 | |
| 8 | 1996 | 57 | |
| 9 | 1996 | 55 | |
| 10 | 1993 | 50 | |
| 11 | 1999 | 50 | |
| 12 | 1999 | 50 | |
| 13 | 1999 | 46 | |
| 14 | 1998 | 27 | |
| 15 | 1998 | 22 | |
| 16 | 1994 | 22 | |
| 17 | 1994 | 22 | |
| 18 | 1998 | 22 | |
| 19 | 1994 | 13 | |
| 20 | 2000 | 7 |
About Yi Dou
Yi Dou is a scholar working on Cell Biology, Molecular Biology, Physiology, Biophysics and Pediatrics, Perinatology and Child Health, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hemoglobin structure and function (20 papers), Heme Oxygenase-1 and Carbon Monoxide (8 papers), Erythrocyte Function and Pathophysiology (6 papers), Electron Spin Resonance Studies (5 papers), Neonatal Health and Biochemistry (4 papers), Porphyrin Metabolism and Disorders (4 papers), Nitric Oxide and Endothelin Effects (3 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Cell Biology (840 citations), Biophysics (99 citations), Physiology (301 citations), Pediatrics, Perinatology and Child Health (197 citations) and Molecular Biology (725 citations). Yi Dou has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include John S. Olson, Masao Ikeda‐Saito, Anthony J. Wilkinson, Raymund F. Eich, Mark S. Hargrove, Szymon Krzywda, Tiansheng Li, Hao Zhu, Austen Riggs and E.C. Liong. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Journal of the American Chemical Society, Medical Image Analysis and Journal of Cellular Physiology.
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.