Su Datt Lam
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Genomics and Phylogenetic Studies 7
- RNA and protein synthesis mechanisms 6
- Protein Structure and Dynamics 5
-
- SARS-CoV-2 and COVID-19 Research 4
- Co-authors
- Christine Orengo (12 shared papers)Ian Sillitoe (9 shared papers)Jonathan Lees (7 shared papers)Natalie L. Dawson (5 shared papers)Neeladri Sen (7 shared papers)Paul Ashford (5 shared papers)Clemens Rauer (3 shared papers)Nicola Bordin (4 shared papers)
- Journals
- Nucleic Acids Research (4 papers)Scientific Reports (4 papers)Computational and Structural Biotechnology Journal (2 papers)Environmental Pollution (1 paper)Life (1 paper)
- Partner nations
- MalaysiaUnited KingdomIndia
In The Last Decade
Su Datt Lam
39 papers receiving 1.2k citations
Su Datt Lam's Hit Papers
Peers
Comparison fields: 5 of 113
- Endocrinology 70
- Infectious Diseases 182
- Modeling and Simulation 40
- Molecular Biology 594
- Molecular Medicine 37
Countries citing papers authored by Su Datt Lam
This map shows the geographic impact of Su Datt Lam'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 Su Datt Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Datt Lam more than expected).
Fields of papers citing papers by Su Datt Lam
This network shows the impact of papers produced by Su Datt Lam. 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 Su Datt Lam. The network helps show where Su Datt Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Su Datt Lam, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CATH: increased structural coverage of functional space Hit paper breakdown → | 2020 | 294 |
| 2 | 2017 | 127 | |
| 3 | 2020 | 81 | |
| 4 | 2022 | 80 | |
| 5 | 2018 | 74 | |
| 6 | 1999 | 70 | |
| 7 | 2023 | 48 | |
| 8 | 2015 | 45 | |
| 9 | 1990 | 42 | |
| 10 | 2021 | 38 | |
| 11 | 2017 | 36 | |
| 12 | 2023 | 29 | |
| 13 | 1985 | 28 | |
| 14 | 1984 | 23 | |
| 15 | 2023 | 21 | |
| 16 | 2017 | 20 | |
| 17 | 2021 | 18 | |
| 18 | 2022 | 18 | |
| 19 | 1987 | 15 | |
| 20 | 2021 | 12 |
About Su Datt Lam
Su Datt Lam is a scholar working on Molecular Biology, Infectious Diseases, Molecular Medicine, Plant Science and Animal Science and Zoology, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), RNA and protein synthesis mechanisms (6 papers), Protein Structure and Dynamics (5 papers), Vibrio bacteria research studies (4 papers), Antibiotic Resistance in Bacteria (4 papers), Plant Stress Responses and Tolerance (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Plant responses to water stress (3 papers). The work is most often cited by research in Endocrinology (70 citations), Infectious Diseases (182 citations), Modeling and Simulation (40 citations), Molecular Biology (594 citations) and Molecular Medicine (37 citations). Su Datt Lam has collaborated with scholars based in Malaysia, United Kingdom and India. Frequent co-authors include Christine Orengo, Ian Sillitoe, Jonathan Lees, Natalie L. Dawson, Neeladri Sen, Paul Ashford, Clemens Rauer, Nicola Bordin, Vaishali Waman and Camilla Pang. Their work appears in journals such as Nucleic Acids Research, Scientific Reports, Computational and Structural Biotechnology Journal, Environmental Pollution and Life.
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.