Shu‐I Tu
Impact in
- Endocrinology top 2%
- Escherichia coli research studies
- Biotechnology top 2%
- Listeria monocytogenes in Food Safety
Papers in
-
- Escherichia coli research studies 22
- Food Science 23
- Salmonella and Campylobacter epidemiology 22
- Co-authors
- Andrew Gehring (34 shared papers)Peter L. Irwin (22 shared papers)George C. Paoli (12 shared papers)Yiping He (10 shared papers)Xianming Shi (4 shared papers)Jeffrey D. Brewster (6 shared papers)Arun K. Bhunia (5 shared papers)Sue Reed (11 shared papers)
- Journals
- PLANT PHYSIOLOGY (10 papers)Archives of Biochemistry and Biophysics (8 papers)Biochemical and Biophysical Research Communications (8 papers)Physiologia Plantarum (6 papers)Biochemistry (6 papers)
- Partner nations
- United StatesChina
In The Last Decade
Shu‐I Tu
126 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 111
- Endocrinology 239
- Biotechnology 303
- Food Science 426
- Biomedical Engineering 943
- Molecular Biology 1.2k
Countries citing papers authored by Shu‐I Tu
This map shows the geographic impact of Shu‐I Tu'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 Shu‐I Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu‐I Tu more than expected).
Fields of papers citing papers by Shu‐I Tu
This network shows the impact of papers produced by Shu‐I Tu. 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 Shu‐I Tu. The network helps show where Shu‐I Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shu‐I Tu, 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 126 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 124 | |
| 2 | 2007 | 123 | |
| 3 | 2009 | 108 | |
| 4 | 2010 | 106 | |
| 5 | 2011 | 86 | |
| 6 | 2009 | 77 | |
| 7 | 2000 | 75 | |
| 8 | 2009 | 68 | |
| 9 | 2011 | 62 | |
| 10 | 1999 | 60 | |
| 11 | 2006 | 53 | |
| 12 | 2001 | 52 | |
| 13 | 2008 | 52 | |
| 14 | 2006 | 50 | |
| 15 | 1986 | 48 | |
| 16 | 2004 | 46 | |
| 17 | 1997 | 46 | |
| 18 | 2010 | 45 | |
| 19 | 2009 | 42 | |
| 20 | 1990 | 35 |
About Shu‐I Tu
Shu‐I Tu is a scholar working on Endocrinology, Food Science, Molecular Biology, Infectious Diseases and Biotechnology, having authored 126 papers that have together received 2.4k indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (31 papers), Escherichia coli research studies (22 papers), Salmonella and Campylobacter epidemiology (22 papers), Photosynthetic Processes and Mechanisms (22 papers), Viral gastroenteritis research and epidemiology (19 papers), ATP Synthase and ATPases Research (19 papers), Plant nutrient uptake and metabolism (11 papers) and Listeria monocytogenes in Food Safety (11 papers). The work is most often cited by research in Endocrinology (239 citations), Biotechnology (303 citations), Food Science (426 citations), Biomedical Engineering (943 citations) and Molecular Biology (1.2k citations). Shu‐I Tu has collaborated with scholars based in United States and China. Frequent co-authors include Andrew Gehring, Peter L. Irwin, George C. Paoli, Yiping He, Xianming Shi, Jeffrey D. Brewster, Arun K. Bhunia, Sue Reed, Siyuan Shen and Joseph Uknalis. Their work appears in journals such as PLANT PHYSIOLOGY, Archives of Biochemistry and Biophysics, Biochemical and Biophysical Research Communications, Physiologia Plantarum and Biochemistry.
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.