Vanessa Schumacher
- Microbiology top 10%
- Microbial infections and disease research 3
- Animal Science and Zoology top 10%
- Parasitology top 10%
- Bird parasitology and diseases 4
- Vector-borne infectious diseases 3
- Small Animals top 10%
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- Immunotoxicology and immune responses 5
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- AI in cancer detection 7
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- Cell Image Analysis Techniques 7
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- Digital Imaging for Blood Diseases 3
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- Turtle Biology and Conservation 2
- Co-authors
- Salvatore FrascaSteven J. GearyX. LiaoMatthew P. PadulaPaul R. BowserSteven P. DjordjevicSteven M. SzczepanekRodman G. Getchell
- Journals
- Infection and Immunity (1 paper)BioMed Research International (1 paper)Hydrobiologia (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Vanessa Schumacher
26 papers receiving 328 citations
Peers
Comparison fields: 5 of 87
- Microbiology 59
- Animal Science and Zoology 52
- Parasitology 33
- Small Animals 34
- Immunology 80
Countries citing papers authored by Vanessa Schumacher
This map shows the geographic impact of Vanessa Schumacher'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 Vanessa Schumacher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vanessa Schumacher more than expected).
Fields of papers citing papers by Vanessa Schumacher
This network shows the impact of papers produced by Vanessa Schumacher. 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 Vanessa Schumacher. The network helps show where Vanessa Schumacher may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vanessa Schumacher, 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 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 68 | |
| 4 | 2022 | 4 | |
| 5 | 2022 | 3 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 2 | |
| 8 | 2020 | 6 | |
| 9 | 2019 | 10 | |
| 10 | 2017 | 9 | |
| 11 | 2015 | 14 | |
| 12 | 2014 | 13 | |
| 13 | 2014 | 13 | |
| 14 | 2013 | 14 | |
| 15 | 2012 | 18 | |
| 16 | 2011 | 5 | |
| 17 | 2010 | 5 | |
| 18 | 2009 | 7 | |
| 19 | 2007 | 31 | |
| 20 | 2006 | 18 |
About Vanessa Schumacher
Vanessa Schumacher is a scholar working on Microbiology, Biophysics and Parasitology, having authored 26 papers that have together received 338 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Cell Image Analysis Techniques (7 papers), Immunotoxicology and immune responses (5 papers), Bird parasitology and diseases (4 papers), Digital Imaging for Blood Diseases (3 papers), Vector-borne infectious diseases (3 papers), Microbial infections and disease research (3 papers) and Turtle Biology and Conservation (2 papers). The work is most often cited by research in Microbiology (59 citations), Animal Science and Zoology (52 citations) and Parasitology (33 citations). Vanessa Schumacher has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Salvatore Frasca, Steven J. Geary, X. Liao, Matthew P. Padula, Paul R. Bowser, Steven P. Djordjevic, Steven M. Szczepanek, Rodman G. Getchell, Horst Posthaus and G. A. Wooster. Their work appears in journals such as Infection and Immunity, BioMed Research International and Hydrobiologia.
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.