Marcus Lem

1.3k citations
17 papers · 944 indexed · 1 hit paper · h-index 11

Marcus Lem

17 papers receiving 918 citations

Hit Papers

Whole-Genome Sequencing and Social-Network Analysis of a ...5222011202620162021100200300400500

Peers

Marcus Lem
Comparison fields: 5 of 107
  • Infectious Diseases 421
  • Epidemiology 480
  • Endocrinology 58
  • Microbiology 70
  • Molecular Medicine 55
Replace Bjørn G Iversen with:
Bjørn G Iversen Norway
Már Kristjánsson Iceland
Claude Mambo Muvunyi Rwanda
Chunhui Li China
Robert E. Fontaine United States
Sarah Y. Park United States
Geoffrey Kwenda Zambia
Lok Bahadur Shrestha Nepal
Elita Jauneikaite United Kingdom
Paul Crook United Kingdom
Marcus Lem relative to Bjørn G Iversen Norway Bjørn G Iversen's profile →
Citations per field
00.5×3.5×
Bjørn G Iversen · 1×
Citations per year

Countries citing papers authored by Marcus Lem

Since Specialization
Citations

This map shows the geographic impact of Marcus Lem'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 Marcus Lem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcus Lem more than expected).

Fields of papers citing papers by Marcus Lem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcus Lem. 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 Marcus Lem. The network helps show where Marcus Lem may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Marcus Lem, 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 Marcus Lem Line = papers co-authored together Marcus Lem links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201922
2 20176
3 201723
4 20165
5 20158
6 20152
7 20155
8 201442
9 20129
10 201128
11
Whole-Genome Sequencing and Social-Network Analysis of a Tuberculosis Outbreakbreakdown →
2011522
12 201063
13 200912
14 200663
15 200520
16 2004100
17 200314

About Marcus Lem

Marcus Lem is a scholar working on Infectious Diseases, Microbiology, Toxicology, Epidemiology and Modeling and Simulation, having authored 17 papers that have together received 944 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (3 papers), Respiratory viral infections research (3 papers), Pneumonia and Respiratory Infections (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Salmonella and Campylobacter epidemiology (2 papers), Virology and Viral Diseases (2 papers), HIV/AIDS Research and Interventions (2 papers) and Climate Change, Adaptation, Migration (2 papers). The work is most often cited by research in Infectious Diseases (421 citations), Epidemiology (480 citations), Endocrinology (58 citations), Microbiology (70 citations) and Molecular Medicine (55 citations). Marcus Lem has collaborated with scholars based in Canada, Australia and Netherlands. Frequent co-authors include Patrick Tang, Lena Shah, Elizabeth Brodkin, Kevin Elwood, Steven J.M. Jones, Richard Moore, James C. Johnston, Jennifer L. Gardy, İnanç Birol and Robert C. Brunham. Their work appears in journals such as Canada Communicable Disease Report, Epidemiology and Infection, Clinical Infectious Diseases, Harm Reduction Journal and Infection Control and Hospital Epidemiology.

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.

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