Emma S. McBryde

9.2k citations
194 papers · 5.5k indexed · 2 hit papers · h-index 42

Emma S. McBryde

188 papers receiving 5.4k citations

Hit Papers

Economic Consequences of the COVID-19 Outbreak: the Need ...4342020202620222024100200300400

Peers

Emma S. McBryde
Comparison fields: 5 of 183
  • Modeling and Simulation 1.0k
  • Infectious Diseases 2.5k
  • Applied Microbiology and Biotechnology 167
  • Epidemiology 2.4k
  • Hepatology 477
Replace Massimo Ciccozzi with:
Massimo Ciccozzi Italy
Yazdan Yazdanpanah France
Marc Aerts Belgium
Laurent Kaiser Switzerland
Davidson H. Hamer United States
Abdullah M. Assiri Saudi Arabia
Silvia Angeletti Italy
Bruce Y. Lee United States
Philip M. Polgreen United States
Jason R. Andrews United States
Emma S. McBryde relative to Massimo Ciccozzi Italy Massimo Ciccozzi's profile →
Citations per field
00.5×1.5×2.4×
Massimo Ciccozzi · 1×
Citations per year

Countries citing papers authored by Emma S. McBryde

Since Specialization
Citations

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

Fields of papers citing papers by Emma S. McBryde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emma S. McBryde. 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 Emma S. McBryde. The network helps show where Emma S. McBryde may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20241
4 20230
5 202213
6 20223
7 202220
8 20211
9 202120
10 202119
11 202021
12 202028
13 20191
14 201950
15 201837
16 201813
17 201717
18 201726
19 2016115
20 201547

About Emma S. McBryde

Emma S. McBryde is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology, having authored 194 papers that have together received 5.5k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (68 papers), COVID-19 epidemiological studies (42 papers), Pneumonia and Respiratory Infections (36 papers), Pneumocystis jirovecii pneumonia detection and treatment (24 papers), Influenza Virus Research Studies (19 papers), Mycobacterium research and diagnosis (17 papers), Diagnosis and treatment of tuberculosis (16 papers) and Antimicrobial Resistance in Staphylococcus (14 papers). The work is most often cited by research in Modeling and Simulation (1.0k citations), Infectious Diseases (2.5k citations) and Applied Microbiology and Biotechnology (167 citations). Emma S. McBryde has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include James M. Trauer, Damon P. Eisen, Justin T. Denholm, Adeshina I. Adekunle, Oyelola A. Adegboye, Anton Pak, Michael T. Meehan, Margaret Hellard, Md Abdul Kuddus and Liz Tynan.

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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