Joerg Doellinger
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
-
- Genomics and Phylogenetic Studies 7
- Spectroscopy 12
- Advanced Proteomics Techniques and Applications 12
- Mass Spectrometry Techniques and Applications 5
- Co-authors
- Peter Lasch (15 shared papers)Andy Schneider (8 shared papers)Andreas Nitsche (18 shared papers)Lars Schaade (8 shared papers)Udo Buchholz (2 shared papers)Gérard Krause (2 shared papers)Cornelius Remschmidt (2 shared papers)Walter Haas (2 shared papers)
In The Last Decade
Joerg Doellinger
36 papers receiving 777 citations
Peers
Comparison fields: 5 of 107
- Modeling and Simulation 82
- Spectroscopy 160
- Infectious Diseases 152
- Clinical Biochemistry 55
- Virology 24
Countries citing papers authored by Joerg Doellinger
This map shows the geographic impact of Joerg Doellinger'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 Joerg Doellinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joerg Doellinger more than expected).
Fields of papers citing papers by Joerg Doellinger
This network shows the impact of papers produced by Joerg Doellinger. 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 Joerg Doellinger. The network helps show where Joerg Doellinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Joerg Doellinger, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 144 | |
| 2 | 2012 | 140 | |
| 3 | 2012 | 93 | |
| 4 | 2017 | 34 | |
| 5 | 2014 | 29 | |
| 6 | 2015 | 28 | |
| 7 | 2020 | 27 | |
| 8 | 2020 | 27 | |
| 9 | 2018 | 27 | |
| 10 | 2020 | 26 | |
| 11 | 2016 | 22 | |
| 12 | 2016 | 18 | |
| 13 | 2020 | 15 | |
| 14 | 2020 | 15 | |
| 15 | 2022 | 14 | |
| 16 | 2022 | 14 | |
| 17 | 2020 | 14 | |
| 18 | 2018 | 14 | |
| 19 | 2023 | 13 | |
| 20 | 2021 | 8 |
About Joerg Doellinger
Joerg Doellinger is a scholar working on Molecular Biology, Spectroscopy, Ecology, Infectious Diseases and Epidemiology, having authored 38 papers that have together received 792 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (12 papers), Bacteriophages and microbial interactions (8 papers), Genomics and Phylogenetic Studies (7 papers), Bacterial Identification and Susceptibility Testing (6 papers), Yersinia bacterium, plague, ectoparasites research (5 papers), Poxvirus research and outbreaks (5 papers), Biosensors and Analytical Detection (5 papers) and Mass Spectrometry Techniques and Applications (5 papers). The work is most often cited by research in Modeling and Simulation (82 citations), Spectroscopy (160 citations), Infectious Diseases (152 citations), Clinical Biochemistry (55 citations) and Virology (24 citations). Joerg Doellinger has collaborated with scholars based in Germany, Austria and Vietnam. Frequent co-authors include Peter Lasch, Andy Schneider, Andreas Nitsche, Lars Schaade, Udo Buchholz, Gérard Krause, Cornelius Remschmidt, Walter Haas, Brunhilde Schweiger and Susanne Schink. Their work appears in journals such as Journal of Proteome Research, Scientific Reports, Viruses, Analytical Chemistry and Nature Communications.
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.