Eva Gluenz
Impact in
- Epidemiology top 1%
- Trypanosoma species research and implications
-
- Research on Leishmaniasis Studies
Papers in
- Epidemiology 40
- Trypanosoma species research and implications 40
-
- Research on Leishmaniasis Studies 25
- Co-authors
- Keith Gull (21 shared papers)Richard John Wheeler (13 shared papers)Tom Beneke (15 shared papers)Jack Daniel Sunter (4 shared papers)Laura Makin (2 shared papers)Jessica Valli (5 shared papers)Mark Carrington (5 shared papers)Ross Madden (1 shared paper)
- Journals
- Molecular Microbiology (6 papers)PLoS ONE (4 papers)PLoS Pathogens (4 papers)Molecular and Biochemical Parasitology (3 papers)Trends in Parasitology (3 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Eva Gluenz
47 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 95
- Epidemiology 1.5k
- Public Health, Environmental and Occupational Health 982
- Parasitology 206
- Insect Science 321
- Physiology 84
Countries citing papers authored by Eva Gluenz
This map shows the geographic impact of Eva Gluenz'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 Gluenz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Gluenz more than expected).
Fields of papers citing papers by Eva Gluenz
This network shows the impact of papers produced by Eva Gluenz. 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 Gluenz. The network helps show where Eva Gluenz may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Gluenz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 255 | |
| 2 | 2015 | 174 | |
| 3 | 2010 | 149 | |
| 4 | 2007 | 104 | |
| 5 | 2012 | 98 | |
| 6 | 2010 | 94 | |
| 7 | 2019 | 91 | |
| 8 | 2009 | 90 | |
| 9 | 2015 | 84 | |
| 10 | 2018 | 67 | |
| 11 | 2010 | 67 | |
| 12 | 2013 | 57 | |
| 13 | 2009 | 57 | |
| 14 | 2012 | 51 | |
| 15 | 2010 | 46 | |
| 16 | 2015 | 43 | |
| 17 | 2019 | 43 | |
| 18 | 2007 | 41 | |
| 19 | 2009 | 40 | |
| 20 | 2017 | 35 |
About Eva Gluenz
Eva Gluenz is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Molecular Biology, Physiology and Insect Science, having authored 48 papers that have together received 2.1k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (40 papers), Research on Leishmaniasis Studies (25 papers), Lysosomal Storage Disorders Research (8 papers), Insect symbiosis and bacterial influences (8 papers), Microtubule and mitosis dynamics (5 papers), CRISPR and Genetic Engineering (5 papers), Parasites and Host Interactions (4 papers) and Genetic and Kidney Cyst Diseases (4 papers). The work is most often cited by research in Epidemiology (1.5k citations), Public Health, Environmental and Occupational Health (982 citations), Parasitology (206 citations), Insect Science (321 citations) and Physiology (84 citations). Eva Gluenz has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Keith Gull, Richard John Wheeler, Tom Beneke, Jack Daniel Sunter, Laura Makin, Jessica Valli, Mark Carrington, Ross Madden, Michael K. Shaw and Samuel Dean. Their work appears in journals such as Molecular Microbiology, PLoS ONE, PLoS Pathogens, Molecular and Biochemical Parasitology and Trends in Parasitology.
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.