Eva Maria Hodel
- Public Health, Environmental and Occupational Health top 5%
- Computational Theory and Mathematics top 5%
- Pharmacology top 5%
- Infectious Diseases
- Oncology
- Co-authors
- Ian M. HastingsKatherine KayBlaise GentonPiero OlliaroLaurent A. DécosterdBoris ZanolariThomas MercierHans‐Peter Beck
- Topics
- Malaria Research and Control (22 papers)Mosquito-borne diseases and control (11 papers)Computational Drug Discovery Methods (10 papers)
- Cited by
- PharmacologyPublic Health, Environmental and Occupational HealthComputational Theory and Mathematics
- Partner nations
- United KingdomSwitzerlandCambodia
In The Last Decade
Eva Maria Hodel
27 papers receiving 492 citations
Peers
Comparison fields: 5 of 74
- Public Health, Environmental and Occupational Health 360
- Computational Theory and Mathematics 157
- Pharmacology 125
- Infectious Diseases 91
- Oncology 66
Countries citing papers authored by Eva Maria Hodel
This map shows the geographic impact of Eva Maria Hodel'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 Eva Maria Hodel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Maria Hodel more than expected).
Fields of papers citing papers by Eva Maria Hodel
This network shows the impact of papers produced by Eva Maria Hodel. 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 Eva Maria Hodel. The network helps show where Eva Maria Hodel may publish in the future.
Co-authorship network of co-authors of Eva Maria Hodel
This figure shows the co-authorship network connecting the top 25 collaborators of Eva Maria Hodel. A scholar is included among the top collaborators of Eva Maria Hodel 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 Eva Maria Hodel. Eva Maria Hodel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 10 | |
| 3 | 16 | |
| 4 | 16 | |
| 5 | 7 | |
| 6 | 27 | |
| 7 | 17 | |
| 8 | 4 | |
| 9 | 16 | |
| 10 | 26 | |
| 11 | 25 | |
| 12 | 21 | |
| 13 | 26 | |
| 14 | 4 | |
| 15 | 29 | |
| 16 | 17 | |
| 17 | 25 | |
| 18 | 6 | |
| 19 | 91 | |
| 20 | 4 |
About Eva Maria Hodel
Eva Maria Hodel is a scholar working on Pharmacology, Public Health, Environmental and Occupational Health and Computational Theory and Mathematics, having authored 27 papers that have together received 501 indexed citations. Recurring topics across this work include Malaria Research and Control (22 papers), Mosquito-borne diseases and control (11 papers) and Computational Drug Discovery Methods (10 papers). The work is most often cited by research in Pharmacology (125 citations), Public Health, Environmental and Occupational Health (360 citations) and Computational Theory and Mathematics (157 citations). Eva Maria Hodel has collaborated with scholars based in United Kingdom, Switzerland and Cambodia. Frequent co-authors include Ian M. Hastings, Katherine Kay, Blaise Genton, Piero Olliaro, Laurent A. Décosterd, Boris Zanolari, Thomas Mercier, Hans‐Peter Beck, Jennifer Keiser and J Biollaz. Their work appears in journals such as PLoS ONE, Scientific Reports and The Journal of Infectious Diseases.
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.