Martin Hoenigl
- Infectious Diseases top 0.05%
- Antifungal resistance and susceptibility 178
- HIV/AIDS Research and Interventions 53
- Epidemiology top 0.2%
- Fungal Infections and Studies 141
- HIV, Drug Use, Sexual Risk 34
- Pneumocystis jirovecii pneumonia detection and treatment 30
- Virology top 1%
- HIV Research and Treatment 38
- Small Animals top 0.2%
- Infectious Diseases and Mycology 26
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- Plant Pathogens and Fungal Diseases 28
- Co-authors
- Jeffrey D. JenksRobert KrauseOliver A. CornelyJuergen PrattesCornelia Lass‐FlörlSusan J. LittleAmir ArastehfarReinhard B. Raggam
- Journals
- SHILAP Revista de lepidopterología (3 papers)Blood (1 paper)PLoS ONE (7 papers)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Martin Hoenigl
285 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Infectious Diseases 6.9k
- Applied Microbiology and Biotechnology 429
- Epidemiology 5.5k
- Virology 488
- Small Animals 698
Countries citing papers authored by Martin Hoenigl
This map shows the geographic impact of Martin Hoenigl'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 Martin Hoenigl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Hoenigl more than expected).
Fields of papers citing papers by Martin Hoenigl
This network shows the impact of papers produced by Martin Hoenigl. 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 Martin Hoenigl. The network helps show where Martin Hoenigl may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin Hoenigl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 17 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 16 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 9 | |
| 11 | 2022 | 16 | |
| 12 | 2022 | 2 | |
| 13 | COVID-19-associated fungal infectionsbreakdown → | 2022 | 269 |
| 14 | 2022 | 19 | |
| 15 | 2020 | 2 | |
| 16 | 2020 | 21 | |
| 17 | 2019 | 17 | |
| 18 | 2019 | 13 | |
| 19 | Assessing the Performance of Three HIV Incidence Risk Scores in a Cohort of Black and White MSM in the South (vol 44, pg 297, 2017) | 2018 | 2 |
| 20 | 2015 | 45 |
About Martin Hoenigl
Martin Hoenigl is a scholar working on Infectious Diseases, Virology and Epidemiology, having authored 294 papers that have together received 8.5k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (178 papers), Fungal Infections and Studies (141 papers), HIV/AIDS Research and Interventions (53 papers), HIV Research and Treatment (38 papers), HIV, Drug Use, Sexual Risk (34 papers), Pneumocystis jirovecii pneumonia detection and treatment (30 papers), Plant Pathogens and Fungal Diseases (28 papers) and Infectious Diseases and Mycology (26 papers). The work is most often cited by research in Infectious Diseases (6.9k citations), Applied Microbiology and Biotechnology (429 citations) and Epidemiology (5.5k citations). Martin Hoenigl has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Jeffrey D. Jenks, Robert Krause, Oliver A. Cornely, Juergen Prattes, Cornelia Lass‐Flörl, Susan J. Little, Amir Arastehfar, Reinhard B. Raggam, Matthias Egger and Agostinho Carvalho. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.
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.