Mateusz Hasso-Agopsowicz

1.3k total citations · 1 hit paper
34 papers, 657 citations indexed

About

Mateusz Hasso-Agopsowicz is a scholar working on Epidemiology, Infectious Diseases and Applied Microbiology and Biotechnology. According to data from OpenAlex, Mateusz Hasso-Agopsowicz has authored 34 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 14 papers in Infectious Diseases and 10 papers in Applied Microbiology and Biotechnology. Recurrent topics in Mateusz Hasso-Agopsowicz's work include Antibiotic Use and Resistance (10 papers), Viral gastroenteritis research and epidemiology (9 papers) and Virology and Viral Diseases (8 papers). Mateusz Hasso-Agopsowicz is often cited by papers focused on Antibiotic Use and Resistance (10 papers), Viral gastroenteritis research and epidemiology (9 papers) and Virology and Viral Diseases (8 papers). Mateusz Hasso-Agopsowicz collaborates with scholars based in Switzerland, United States and United Kingdom. Mateusz Hasso-Agopsowicz's co-authors include Isabel Frost, Hatim Sati, Gagandeep Kang, Peter Beyer, Pilar García-Vello, Christian Lienhardt, Valeria Gigante, Birgitte Giersing, Benjamin A. Lopman and William P. Hausdorff and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Scientific Reports.

In The Last Decade

Mateusz Hasso-Agopsowicz

31 papers receiving 645 citations

Hit Papers

WHO global research priorities for antimicrobial resistan... 2024 2026 2025 2024 20 40 60

Peers

Mateusz Hasso-Agopsowicz
Comparison fields: 5 of 94
  • Infectious Diseases 290
  • Epidemiology 133
  • Endocrinology 122
  • Molecular Medicine 116
  • Molecular Biology 92
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Valsan Philip Verghese India
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Louise Francois Watkins United States
Lok Bahadur Shrestha Nepal
Shrikala Baliga India
Gideon Kikuvi Kenya
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Citations per field, relative to Mateusz Hasso-Agopsowicz
Mateusz Hasso-Agopsowicz · 1×
Citations per year, relative to Mateusz Hasso-Agopsowicz
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Countries citing papers authored by Mateusz Hasso-Agopsowicz

Since Specialization
Citations

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

Fields of papers citing papers by Mateusz Hasso-Agopsowicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mateusz Hasso-Agopsowicz. 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 Mateusz Hasso-Agopsowicz. The network helps show where Mateusz Hasso-Agopsowicz may publish in the future.

Co-authorship network of co-authors of Mateusz Hasso-Agopsowicz

This figure shows the co-authorship network connecting the top 25 collaborators of Mateusz Hasso-Agopsowicz. A scholar is included among the top collaborators of Mateusz Hasso-Agopsowicz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mateusz Hasso-Agopsowicz. Mateusz Hasso-Agopsowicz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 0
3 5
4 4
5 2
6 1
7 13
8 4
9 34
10 1
11 9
12 9
13 105
14 20
15 14
16 20
17 15
18 7
19 41
20 16

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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