Jördis J. Ott
- Epidemiology top 0.5%
- Hepatology top 0.1%
- Infectious Diseases top 2%
- Health top 2%
- Oncology top 10%
- Co-authors
- Gérard KrauseJohannes HornRafael MikolajczykSteven WiersmaAparna SchweitzerGretchen A StevensJustina GroegerDaniel Shouval
- Topics
- Hepatitis B Virus Studies (11 papers)Hepatitis Viruses Studies and Epidemiology (10 papers)Viral gastroenteritis research and epidemiology (6 papers)
- Journals
- The LancetSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Jördis J. Ott
32 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Epidemiology 3.8k
- Hepatology 3.3k
- Infectious Diseases 716
- Health 281
- Oncology 268
Countries citing papers authored by Jördis J. Ott
This map shows the geographic impact of Jördis J. Ott'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 Jördis J. Ott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jördis J. Ott more than expected).
Fields of papers citing papers by Jördis J. Ott
This network shows the impact of papers produced by Jördis J. Ott. 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 Jördis J. Ott. The network helps show where Jördis J. Ott may publish in the future.
Co-authorship network of co-authors of Jördis J. Ott
This figure shows the co-authorship network connecting the top 25 collaborators of Jördis J. Ott. A scholar is included among the top collaborators of Jördis J. Ott 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 Jördis J. Ott. Jördis J. Ott 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 | 17 | |
| 3 | 16 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 23 | |
| 7 | 10 | |
| 8 | 17 | |
| 9 | 200 | |
| 10 | 52 | |
| 11 | 72 | |
| 12 | Estimations of worldwide prevalence of chronic hepatitis B virus infection: a systematic review of data published between 1965 and 2013breakdown → | 2008 |
| 13 | 52 | |
| 14 | 15 | |
| 15 | 68 | |
| 16 | Global epidemiology of hepatitis B virus infection: New estimates of age-specific HBsAg seroprevalence and endemicitybreakdown → | 1396 |
| 17 | 77 | |
| 18 | 1 | |
| 19 | 18 | |
| 20 | 22 |
About Jördis J. Ott
Jördis J. Ott is a scholar working on Hepatology, Modeling and Simulation and Infectious Diseases, having authored 35 papers that have together received 4.6k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (11 papers), Hepatitis Viruses Studies and Epidemiology (10 papers) and Viral gastroenteritis research and epidemiology (6 papers). The work is most often cited by research in Hepatology (3.3k citations), Epidemiology (3.8k citations) and Infectious Diseases (716 citations). Jördis J. Ott has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Gérard Krause, Johannes Horn, Rafael Mikolajczyk, Steven Wiersma, Aparna Schweitzer, Gretchen A Stevens, Justina Groeger, Daniel Shouval, Pierre Van Damme and Stanley M. Lemon. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.
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.