Minn Soe

3.1k citations
41 papers · 1.9k indexed · 3 hit papers · h-index 17

Minn Soe

40 papers receiving 1.8k citations

Hit Papers

Effectiveness of Pfizer-...1892009202620142020100200300400

Peers

Minn Soe
Comparison fields: 5 of 145
  • Applied Microbiology and Biotechnology 180
  • Molecular Medicine 219
  • Infectious Diseases 606
  • Modeling and Simulation 121
  • Clinical Biochemistry 135
Replace Emily P. Hyle with:
Emily P. Hyle United States
Ali M. Somily Saudi Arabia
Solen Kernéis France
Massimo Fantoni Italy
Annalisa Saracino Italy
David R. Jenkins United Kingdom
Pritish K. Tosh United States
Eric Chamot United States
Magnús Gottfreðsson Iceland
Hiroyuki Kunishima Japan
Minn Soe relative to Emily P. Hyle United States Emily P. Hyle's profile →
Citations per field
00.5×1.5×
Emily P. Hyle · 1×
Citations per year

Countries citing papers authored by Minn Soe

Since Specialization
Citations

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

Fields of papers citing papers by Minn Soe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20236
3 202310
4 20235
5 20226
6 20227
7 202137
8 20202
9 20204
10 20202
11
Antimicrobial-resistant pathogens associated with adult healthcare-associated infections: Summary of data reported to the National Healthcare Safety Network, 2015–2017breakdown →
2019458
12 201971
13 201616
14 20155
15 201516
16 201499
17 201217
18 201249
19
On Academics: OpenEpi: A Web-Based Epidemiologic and Statistical Calculator for Public Healthbreakdown →
2009433
20 20063

About Minn Soe

Minn Soe is a scholar working on Applied Microbiology and Biotechnology, Clinical Biochemistry and Infectious Diseases, having authored 41 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (9 papers), Antibiotic Use and Resistance (8 papers), Antimicrobial Resistance in Staphylococcus (6 papers), Vaccine Coverage and Hesitancy (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 epidemiological studies (4 papers), Nosocomial Infections in ICU (4 papers) and Urinary Tract Infections Management (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (180 citations), Molecular Medicine (219 citations) and Infectious Diseases (606 citations). Minn Soe has collaborated with scholars based in United States and Thailand. Frequent co-authors include Kevin M. Sullivan, Andrew Dean, Jonathan R. Edwards, Daniel A. Pollock, Margaret A. Dudeck, Lindsey M. Weiner, Shelley S. Magill, Isaac See, Maroya Spalding Walters and Maria Karlsson. Their work appears in journals such as Infection Control and Hospital Epidemiology, MMWR Morbidity and Mortality Weekly Report, PEDIATRICS, Clinical Infectious Diseases and Public Health Reports.

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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