Sum Chan
Impact in
- Molecular Biology top 10%
- Microbial Metabolic Engineering and Bioproduction
- RNA and protein synthesis mechanisms
- Photosynthetic Processes and Mechanisms
- Advanced biosensing and bioanalysis techniques
- Molecular Medicine top 10%
Papers in
-
- RNA and protein synthesis mechanisms 3
- Biochemical and Molecular Research 3
- Porphyrin Metabolism and Disorders 2
- Genetics 6
- Bacterial Genetics and Biotechnology 6
- Co-authors
- Benjamin Gerson (5 shared papers)Sriram Satagopan (2 shared papers)F. Robert Tabita (2 shared papers)Jaya Singh (1 shared paper)Thomas E. Hanson (1 shared paper)Huiying Li (1 shared paper)Mark A. Arbing (9 shared papers)L. Jeanne Perry (6 shared papers)
- Journals
- Physical Review Letters (2 papers)Journal of Molecular Biology (2 papers)Journal of Biological Chemistry (2 papers)animal (1 paper)Structure (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Sum Chan
28 papers receiving 1.4k citations
Sum Chan's Hit Papers
Peers
Comparison fields: 5 of 133
- Molecular Biology 874
- Molecular Medicine 52
- Ecology 249
- Nutrition and Dietetics 133
- Infectious Diseases 131
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
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 317 | |
| 2 | Engineering an allosteric transcription factor to respond to new ligands Hit paper breakdown → | 2015 | 266 |
| 3 | 1998 | 229 | |
| 4 | 2004 | 82 | |
| 5 | 2020 | 65 | |
| 6 | 2012 | 65 | |
| 7 | 2005 | 59 | |
| 8 | 2005 | 47 | |
| 9 | 2014 | 38 | |
| 10 | 1967 | 33 | |
| 11 | 2013 | 29 | |
| 12 | 2016 | 29 | |
| 13 | 2010 | 28 | |
| 14 | 1975 | 24 | |
| 15 | 1987 | 23 | |
| 16 | 2004 | 22 | |
| 17 | 1998 | 22 | |
| 18 | 2018 | 20 | |
| 19 | 2013 | 18 | |
| 20 | 2010 | 16 |
About Sum Chan
Sum Chan is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Infectious Diseases and Analytical Chemistry, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Enzyme Structure and Function (6 papers), Bacterial Genetics and Biotechnology (6 papers), Tuberculosis Research and Epidemiology (4 papers), RNA and protein synthesis mechanisms (3 papers), Biochemical and Molecular Research (3 papers), Bacteriophages and microbial interactions (3 papers), Porphyrin Metabolism and Disorders (2 papers) and Trace Elements in Health (2 papers). The work is most often cited by research in Molecular Biology (874 citations), Molecular Medicine (52 citations), Ecology (249 citations), Nutrition and Dietetics (133 citations) and Infectious Diseases (131 citations). Sum Chan has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Benjamin Gerson, Sriram Satagopan, F. Robert Tabita, Jaya Singh, Thomas E. Hanson, Huiying Li, Mark A. Arbing, L. Jeanne Perry, Duilio Cascio and Farren J. Isaacs. Their work appears in journals such as Physical Review Letters, Journal of Molecular Biology, Journal of Biological Chemistry, animal and Structure.
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.