Sum Chan
Impact in
- Molecular Biology top 10%
- Microbial Metabolic Engineering and Bioproduction
- Photosynthetic Processes and Mechanisms
- Protein Structure and Dynamics
- Advanced biosensing and bioanalysis techniques
- Gene Regulatory Network Analysis
- Structural Biology top 10%
Papers in
-
- Tuberculosis Research and Epidemiology 5
-
- Protein Structure and Dynamics 3
- Microbial Metabolic Engineering and Bioproduction 2
- Photosynthetic Processes and Mechanisms 2
- RNA and protein synthesis mechanisms 1
- Co-authors
- Sriram Satagopan (2 shared papers)F. Robert Tabita (2 shared papers)Huiying Li (1 shared paper)Thomas E. Hanson (1 shared paper)Mark A. Arbing (9 shared papers)L. Jeanne Perry (6 shared papers)Duilio Cascio (5 shared papers)George McDonald Church (1 shared paper)
- Journals
- Physical Review Letters (2 papers)Journal of Molecular Biology (2 papers)Journal of Biological Chemistry (2 papers)Nature Methods (1 paper)Protein Science (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Sum Chan
17 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 788
- Structural Biology 16
- Infectious Diseases 109
- Genetics 153
- Ecology 107
Countries citing papers authored by Sum Chan
This map shows the geographic impact of Sum Chan'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 Sum Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sum Chan more than expected).
Fields of papers citing papers by Sum Chan
This network shows the impact of papers produced by Sum Chan. 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 Sum Chan. The network helps show where Sum Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Sum Chan, 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 | 2007 | 325 | |
| 2 | 2015 | 280 | |
| 3 | 2004 | 82 | |
| 4 | 2020 | 69 | |
| 5 | 2012 | 68 | |
| 6 | 2005 | 61 | |
| 7 | 2005 | 46 | |
| 8 | 2014 | 39 | |
| 9 | 2016 | 30 | |
| 10 | 2013 | 29 | |
| 11 | 2010 | 28 | |
| 12 | 2004 | 22 | |
| 13 | 2018 | 21 | |
| 14 | 2013 | 18 | |
| 15 | 2010 | 13 | |
| 16 | 2005 | 12 | |
| 17 | 2023 | 7 |
About Sum Chan
Sum Chan is a scholar working on Infectious Diseases, Molecular Biology, Materials Chemistry, Genetics and Atomic and Molecular Physics, and Optics, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Enzyme Structure and Function (6 papers), Tuberculosis Research and Epidemiology (5 papers), Protein Structure and Dynamics (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Force Microscopy Techniques and Applications (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Bacterial Genetics and Biotechnology (2 papers) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Molecular Biology (788 citations), Structural Biology (16 citations), Infectious Diseases (109 citations), Genetics (153 citations) and Ecology (107 citations). Sum Chan has collaborated with scholars based in United States and Germany. Frequent co-authors include Sriram Satagopan, F. Robert Tabita, Huiying Li, Thomas E. Hanson, Mark A. Arbing, L. Jeanne Perry, Duilio Cascio, George McDonald Church, Rocco Moretti and David Baker. Their work appears in journals such as Physical Review Letters, Journal of Molecular Biology, Journal of Biological Chemistry, Nature Methods and Protein Science.
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.