Ram Benny Dessau
- Infectious Diseases top 5%
- Parasitology top 1%
- Epidemiology
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Co-authors
- Gorm LisbyJens Kjølseth MøllerJette Lautrup FrederiksenJette BangsborgAnne‐Mette LebechChristian Østergaard AndersenTove EjlertsenNanna Skaarup Andersen
- Topics
- Vector-borne infectious diseases (35 papers)Viral Infections and Vectors (26 papers)Vector-Borne Animal Diseases (14 papers)
- Partner nations
- DenmarkSwedenUnited States
In The Last Decade
Ram Benny Dessau
93 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 116
- Infectious Diseases 549
- Parasitology 437
- Epidemiology 232
- Molecular Biology 173
- Pulmonary and Respiratory Medicine 167
Countries citing papers authored by Ram Benny Dessau
This map shows the geographic impact of Ram Benny Dessau'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 Ram Benny Dessau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ram Benny Dessau more than expected).
Fields of papers citing papers by Ram Benny Dessau
This network shows the impact of papers produced by Ram Benny Dessau. 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 Ram Benny Dessau. The network helps show where Ram Benny Dessau may publish in the future.
Co-authorship network of co-authors of Ram Benny Dessau
This figure shows the co-authorship network connecting the top 25 collaborators of Ram Benny Dessau. A scholar is included among the top collaborators of Ram Benny Dessau 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 Ram Benny Dessau. Ram Benny Dessau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 11 | |
| 10 | 11 | |
| 11 | 18 | |
| 12 | 51 | |
| 13 | [Tick-borne infections in Denmark]. | 2 |
| 14 | [Clinical manifestations, diagnosis and treatment of Lyme borreliosis]. | 5 |
| 15 | 11 | |
| 16 | Flåtbårne infektioner i Danmark | 1 |
| 17 | 105 | |
| 18 | 28 | |
| 19 | 1 | |
| 20 | Diagnosis of Lyme disease:calculating the pre- and post-test probability with a probabilistic belief network | 1 |
About Ram Benny Dessau
Ram Benny Dessau is a scholar working on Parasitology, Infectious Diseases and Endocrinology, having authored 103 papers that have together received 1.4k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (35 papers), Viral Infections and Vectors (26 papers) and Vector-Borne Animal Diseases (14 papers). The work is most often cited by research in Parasitology (437 citations), Infectious Diseases (549 citations) and Endocrinology (101 citations). Ram Benny Dessau has collaborated with scholars based in Denmark, Sweden and United States. Frequent co-authors include Gorm Lisby, Jens Kjølseth Møller, Jette Lautrup Frederiksen, Jette Bangsborg, Anne‐Mette Lebech, Christian Østergaard Andersen, Tove Ejlertsen, Nanna Skaarup Andersen, Jacob Bodilsen and Karen A. Krogfelt. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases and Journal of Clinical Microbiology.
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.