Adrian Egli

259 papers receiving 6.2k citations

Hit Papers

Direct antimicrobial resistance prediction from clinical MALDI-TOF mass spectra using machine learning 2022 · 140 citations
1402009202620142020200400600

Peers

Adrian Egli
Comparison fields: 5 of 168
  • Molecular Medicine 762
  • Applied Microbiology and Biotechnology 263
  • Infectious Diseases 1.6k
  • Transplantation 227
  • Clinical Biochemistry 545
Replace Sang‐Ho Choi with:
Sang‐Ho Choi South Korea
José María Aguado Spain
Ying Taur United States
Lars F. Westblade United States
Carlo Tascini Italy
Heungsup Sung South Korea
Steven M. Gordon United States
Elda Righi Italy
Donald E. Low United States
Asunción Moreno Spain
Adrian Egli relative to Sang‐Ho Choi South Korea Sang‐Ho Choi's profile →
Citations per field
00.5×5.2×
Sang‐Ho Choi · 1×
Citations per year

Countries citing papers authored by Adrian Egli

Since Specialization
Citations

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

Fields of papers citing papers by Adrian Egli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
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12 202185
13 202062
14 20207
15 202033
16 202054
17 20194
18 201924
19 201731
20 201463

About Adrian Egli

Adrian Egli is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology, Endocrinology, Clinical Biochemistry and Infectious Diseases, having authored 281 papers that have together received 6.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (54 papers), Bacterial Identification and Susceptibility Testing (40 papers), Cytomegalovirus and herpesvirus research (23 papers), Immune Cell Function and Interaction (19 papers), Genomics and Phylogenetic Studies (18 papers), SARS-CoV-2 and COVID-19 Research (16 papers), Antibiotic Use and Resistance (16 papers) and Viral gastroenteritis research and epidemiology (15 papers). The work is most often cited by research in Molecular Medicine (762 citations), Applied Microbiology and Biotechnology (263 citations), Infectious Diseases (1.6k citations), Transplantation (227 citations) and Clinical Biochemistry (545 citations). Adrian Egli has collaborated with scholars based in Switzerland, United States and Canada. Frequent co-authors include Hans H. Hirsch, Rainer Gosert, Sarah Tschudin‐Sutter, Alexis Dumoulin, Mohammedyaseen Syedbasha, Atul Humar, Andreas Buser, Deepali Kumar, Laura Infanti and Jacqueline Samaridis. Their work appears in journals such as Swiss Medical Weekly, PLoS ONE, Clinical Infectious Diseases, Antimicrobial Resistance and Infection Control and American Journal of Transplantation.

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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