Connie Lam
Impact in
- Microbiology top 2%
- Bacterial Infections and Vaccines
- Endocrinology top 5%
- Vibrio bacteria research studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 5
- Tuberculosis Research and Epidemiology 5
-
- Mycobacterium research and diagnosis 3
- Co-authors
- Sophie Octavia (6 shared papers)Ruiting Lan (6 shared papers)Vitali Sintchenko (14 shared papers)Peter R. Reeves (3 shared papers)Gwendolyn L. Gilbert (3 shared papers)Anthony D. Keil (1 shared paper)Geoff Hogg (1 shared paper)Nicholas Wood (1 shared paper)
In The Last Decade
Connie Lam
21 papers receiving 474 citations
Peers
Comparison fields: 5 of 72
- Microbiology 188
- Endocrinology 129
- Infectious Diseases 144
- Epidemiology 183
- Molecular Medicine 18
Countries citing papers authored by Connie Lam
This map shows the geographic impact of Connie 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 Connie Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Connie Lam more than expected).
Fields of papers citing papers by Connie Lam
This network shows the impact of papers produced by Connie 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 Connie Lam. The network helps show where Connie Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Connie 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 148 | |
| 2 | 2013 | 63 | |
| 3 | 2010 | 40 | |
| 4 | 2021 | 38 | |
| 5 | 2012 | 38 | |
| 6 | 2012 | 31 | |
| 7 | 2021 | 25 | |
| 8 | 2022 | 21 | |
| 9 | 2011 | 20 | |
| 10 | 2014 | 14 | |
| 11 | 2014 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2021 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2023 | 2 |
About Connie Lam
Connie Lam is a scholar working on Infectious Diseases, Epidemiology, Ecology, Public Health, Environmental and Occupational Health and Microbiology, having authored 22 papers that have together received 491 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Tuberculosis Research and Epidemiology (5 papers), Vibrio bacteria research studies (3 papers), Bacterial Infections and Vaccines (3 papers), Mycobacterium research and diagnosis (3 papers), Bacteriophages and microbial interactions (3 papers), Streptococcal Infections and Treatments (2 papers) and Financial Risk and Volatility Modeling (2 papers). The work is most often cited by research in Microbiology (188 citations), Endocrinology (129 citations), Infectious Diseases (144 citations), Epidemiology (183 citations) and Molecular Medicine (18 citations). Connie Lam has collaborated with scholars based in Australia, India and Hong Kong. Frequent co-authors include Sophie Octavia, Ruiting Lan, Vitali Sintchenko, Peter R. Reeves, Gwendolyn L. Gilbert, Anthony D. Keil, Geoff Hogg, Nicholas Wood, Andrew J. Lawrence and Nicole Guiso. Their work appears in journals such as Journal of Clinical Microbiology, Emerging infectious diseases, Journal of Pediatric Nursing, Pharmaceutics and iScience.
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.