Connie Lam

1.3k citations
19 papers · 462 · h-index 10

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 6
    • Tuberculosis Research and Epidemiology 5
    • Mycobacterium research and diagnosis 5
    • Infective Endocarditis Diagnosis and Management 3
    • Pneumonia and Respiratory Infections 3

Connie Lam

19 papers receiving 451 citations

Peers

Connie Lam
Comparison fields: 5 of 67
  • Microbiology 180
  • Endocrinology 126
  • Infectious Diseases 146
  • Epidemiology 216
  • Molecular Medicine 23
Replace Celina Jin with:
Celina Jin United Kingdom
Tonia Zangari United States
Gianmarco Gasperini Italy
Sigrid Heuberger Austria
Saskia van Selm Netherlands
Óliver Pérez Cuba
Julien Goret France
Nicolas Hégerlé France
Malick M. Gibani United Kingdom
R. Schneerson United States
Connie Lam relative to Celina Jin United Kingdom Celina Jin's profile →
Citations per field
00.5×7.8×
Celina Jin · 1×
Citations per year

Countries citing papers authored by Connie Lam

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Connie Lam Line = papers co-authored together Connie Lam links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2014143
2 201362
3 201037
4 202136
5 201235
6 201230
7 202124
8 202221
9 201118
10 201413
11 20148
12 20237
13 20217
14 20237
15 20235
16 20224
17 20232
18 20232
19 20241

About Connie Lam

Connie Lam is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Ecology and Public Health, Environmental and Occupational Health, having authored 19 papers that have together received 462 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), Tuberculosis Research and Epidemiology (5 papers), Mycobacterium research and diagnosis (5 papers), Salmonella and Campylobacter epidemiology (3 papers), Infective Endocarditis Diagnosis and Management (3 papers), Bacteriophages and microbial interactions (3 papers), Pneumonia and Respiratory Infections (3 papers) and Vibrio bacteria research studies (3 papers). The work is most often cited by research in Microbiology (180 citations), Endocrinology (126 citations), Infectious Diseases (146 citations), Epidemiology (216 citations) and Molecular Medicine (23 citations). Connie Lam has collaborated with scholars based in Australia, India and Taiwan. Frequent co-authors include Sophie Octavia, Ruiting Lan, Vitali Sintchenko, Peter R. Reeves, Gwendolyn L. Gilbert, Anthony D. Keil, Jenny Robson, Geoff Hogg, Andrew J. Lawrence and Helen Marshall. Their work appears in journals such as Journal of Clinical Microbiology, Emerging infectious diseases, iScience, Infection Genetics and Evolution and Computational Statistics & Data Analysis.

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.

Explore authors with similar magnitude of impact