U. Neubert
Impact in
- Parasitology top 0.5%
- Vector-borne infectious diseases
- Infectious Diseases top 2%
- Viral Infections and Vectors
- Dermatological diseases and infestations
Papers in
- Parasitology 26
- Vector-borne infectious diseases 24
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- Viral Infections and Vectors 12
- Dermatological diseases and infestations 6
- Co-authors
- Klaus Weber (4 shared papers)Matthias Volkenandt (6 shared papers)Bettina Wilske (5 shared papers)Paul H. Duray (3 shared papers)Ralf Wienecke (3 shared papers)V. Preac‐Mursic (3 shared papers)Natalie Zöchling (3 shared papers)Gerd Plewig (4 shared papers)
- Journals
- Archives of Dermatological Research (5 papers)Infection (4 papers)Dermatology (4 papers)Journal of Clinical Microbiology (3 papers)Chemotherapy (3 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
U. Neubert
60 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 84
- Parasitology 688
- Infectious Diseases 644
- Microbiology 98
- Ecology, Evolution, Behavior and Systematics 209
- Dermatology 85
Countries citing papers authored by U. Neubert
This map shows the geographic impact of U. Neubert'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 U. Neubert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites U. Neubert more than expected).
Fields of papers citing papers by U. Neubert
This network shows the impact of papers produced by U. Neubert. 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 U. Neubert. The network helps show where U. Neubert may publish in the future.
Co-authors
The 25 scholars most cited alongside U. Neubert, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 98 | |
| 2 | 1991 | 64 | |
| 3 | 1993 | 62 | |
| 4 | 1993 | 51 | |
| 5 | 1995 | 51 | |
| 6 | 1994 | 50 | |
| 7 | 1990 | 49 | |
| 8 | 1986 | 49 | |
| 9 | 1988 | 48 | |
| 10 | 2003 | 42 | |
| 11 | 1986 | 36 | |
| 12 | 2009 | 35 | |
| 13 | 1994 | 33 | |
| 14 | 1993 | 32 | |
| 15 | 1989 | 31 | |
| 16 | 1987 | 30 | |
| 17 | 1993 | 30 | |
| 18 | 1986 | 28 | |
| 19 | 1999 | 22 | |
| 20 | 1998 | 22 |
About U. Neubert
U. Neubert is a scholar working on Parasitology, Infectious Diseases, Microbiology, Epidemiology and Ecology, Evolution, Behavior and Systematics, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (24 papers), Reproductive tract infections research (15 papers), Viral Infections and Vectors (12 papers), Vector-Borne Animal Diseases (11 papers), Bacterial Infections and Vaccines (8 papers), Toxin Mechanisms and Immunotoxins (6 papers), Dermatological diseases and infestations (6 papers) and Insect and Pesticide Research (4 papers). The work is most often cited by research in Parasitology (688 citations), Infectious Diseases (644 citations), Microbiology (98 citations), Ecology, Evolution, Behavior and Systematics (209 citations) and Dermatology (85 citations). U. Neubert has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Klaus Weber, Matthias Volkenandt, Bettina Wilske, Paul H. Duray, Ralf Wienecke, V. Preac‐Mursic, Natalie Zöchling, Gerd Plewig, R. Wienecke and Hans Wolff. Their work appears in journals such as Archives of Dermatological Research, Infection, Dermatology, Journal of Clinical Microbiology and Chemotherapy.
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.