Shuisong Ni
- Pollution top 10%
- Environmental Chemistry top 10%
- Ecology top 10%
- Microbial Community Ecology and Physiology 10
-
- Photosynthetic Processes and Mechanisms 11
- Genomics and Phylogenetic Studies 4
- RNA and protein synthesis mechanisms 4
- DNA Repair Mechanisms 3
-
- Enzyme Structure and Function 11
-
- Mass Spectrometry Techniques and Applications 4
-
- Electron Spin Resonance Studies 4
- Co-authors
- Michael A. KennedyDavid R. BooneLuying XunJim FredricksonRobert M. McCarrickShenyuan XuGarry W. BuchkoHoward Robinson
- Journals
- Proteins Structure Function and Bioinformatics (4 papers)Protein Science (4 papers)Biochemistry (3 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Shuisong Ni
47 papers receiving 774 citations
Peers
Comparison fields: 5 of 97
- Pollution 109
- Environmental Chemistry 85
- Process Chemistry and Technology 20
- Ecology 161
- Molecular Biology 423
Countries citing papers authored by Shuisong Ni
This map shows the geographic impact of Shuisong Ni'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 Shuisong Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuisong Ni more than expected).
Fields of papers citing papers by Shuisong Ni
This network shows the impact of papers produced by Shuisong Ni. 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 Shuisong Ni. The network helps show where Shuisong Ni may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shuisong Ni, 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 | 2025 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2023 | 5 | |
| 4 | 2021 | 11 | |
| 5 | 2021 | 53 | |
| 6 | 2020 | 6 | |
| 7 | 2020 | 24 | |
| 8 | 2018 | 11 | |
| 9 | 2018 | 8 | |
| 10 | 2017 | 42 | |
| 11 | 2011 | 9 | |
| 12 | 2009 | 12 | |
| 13 | 2006 | 5 | |
| 14 | 2006 | 2 | |
| 15 | 2004 | 22 | |
| 16 | 2004 | 5 | |
| 17 | 2004 | 1 | |
| 18 | 1997 | 9 | |
| 19 | 1994 | 38 | |
| 20 | 1991 | 98 |
About Shuisong Ni
Shuisong Ni is a scholar working on Biophysics, Molecular Biology and Spectroscopy, having authored 47 papers that have together received 795 indexed citations. Recurring topics across this work include Enzyme Structure and Function (11 papers), Photosynthetic Processes and Mechanisms (11 papers), Microbial Community Ecology and Physiology (10 papers), Genomics and Phylogenetic Studies (4 papers), Mass Spectrometry Techniques and Applications (4 papers), RNA and protein synthesis mechanisms (4 papers), Electron Spin Resonance Studies (4 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Pollution (109 citations), Environmental Chemistry (85 citations) and Process Chemistry and Technology (20 citations). Shuisong Ni has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Michael A. Kennedy, David R. Boone, Luying Xun, Jim Fredrickson, Robert M. McCarrick, Shenyuan Xu, Garry W. Buchko, Howard Robinson, Henry C. Aldrich and Carl R. Woese. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Protein Science, Biochemistry, Journal of Bacteriology and Journal of Biomolecular NMR.
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.