Erik Lattwein
- Infectious Diseases top 0.5%
- Animal Science and Zoology top 0.5%
- Modeling and Simulation top 0.5%
- Public Health, Environmental and Occupational Health top 5%
- Epidemiology top 10%
- Co-authors
- Marcel A. MüllerChristian DrostenBenjamin MeyerVictor M. CormanBerend‐Jan BoschZiad A. MemishAndrea SiebergAli Albarrak
- Topics
- SARS-CoV-2 and COVID-19 Research (15 papers)Viral Infections and Vectors (13 papers)Animal Virus Infections Studies (11 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Erik Lattwein
35 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Infectious Diseases 2.1k
- Animal Science and Zoology 717
- Modeling and Simulation 538
- Public Health, Environmental and Occupational Health 377
- Epidemiology 267
Countries citing papers authored by Erik Lattwein
This map shows the geographic impact of Erik Lattwein'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 Erik Lattwein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik Lattwein more than expected).
Fields of papers citing papers by Erik Lattwein
This network shows the impact of papers produced by Erik Lattwein. 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 Erik Lattwein. The network helps show where Erik Lattwein may publish in the future.
Co-authorship network of co-authors of Erik Lattwein
This figure shows the co-authorship network connecting the top 25 collaborators of Erik Lattwein. A scholar is included among the top collaborators of Erik Lattwein 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 Erik Lattwein. Erik Lattwein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 12 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 8 | |
| 9 | 23 | |
| 10 | 25 | |
| 11 | 28 | |
| 12 | 11 | |
| 13 | 28 | |
| 14 | 7 | |
| 15 | Viral Shedding and Antibody Response in 37 Patients With Middle East Respiratory Syndrome Coronavirus Infectionbreakdown → | 266 |
| 16 | 230 | |
| 17 | 283 | |
| 18 | 233 | |
| 19 | 80 | |
| 20 | 21 |
About Erik Lattwein
Erik Lattwein is a scholar working on Infectious Diseases, Animal Science and Zoology and Agronomy and Crop Science, having authored 35 papers that have together received 2.4k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (15 papers), Viral Infections and Vectors (13 papers) and Animal Virus Infections Studies (11 papers). The work is most often cited by research in Modeling and Simulation (538 citations), Infectious Diseases (2.1k citations) and Animal Science and Zoology (717 citations). Erik Lattwein has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Marcel A. Müller, Christian Drosten, Benjamin Meyer, Victor M. Corman, Berend‐Jan Bosch, Ziad A. Memish, Andrea Sieberg, Ali Albarrak, Malak Almasri and Abdullah M. Assiri. Their work appears in journals such as New England Journal of Medicine, Clinical Infectious Diseases and Journal of Virology.
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.