Steffen E. Eikenberry
Impact in
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth
- COVID-19 epidemiological studies
- Hepatology top 10%
- Hepatitis C virus research
Papers in
-
- Mathematical Biology Tumor Growth 7
- COVID-19 epidemiological studies 2
-
- Hepatitis C virus research 4
- Co-authors
- Yang Kuang (12 shared papers)Abba B. Gumel (6 shared papers)John D. Nagy (7 shared papers)Craig J. Thalhauser (2 shared papers)Vasilis Z. Marmarelis (2 shared papers)Mark C. Preul (3 shared papers)Eric J. Kostelich (3 shared papers)Tejas Sankar (1 shared paper)
- Journals
- Journal of Mathematical Biology (3 papers)Mathematical Biosciences & Engineering (3 papers)The Science of The Total Environment (2 papers)Biology Direct (1 paper)Applied Sciences (1 paper)
- Partner nations
- United StatesSouth AfricaAustralia
In The Last Decade
Steffen E. Eikenberry
26 papers receiving 754 citations
Peers
Comparison fields: 5 of 104
- Modeling and Simulation 320
- Hepatology 85
- Public Health, Environmental and Occupational Health 280
- Genetics 137
- Biomaterials 51
Countries citing papers authored by Steffen E. Eikenberry
This map shows the geographic impact of Steffen E. Eikenberry'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 Steffen E. Eikenberry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steffen E. Eikenberry more than expected).
Fields of papers citing papers by Steffen E. Eikenberry
This network shows the impact of papers produced by Steffen E. Eikenberry. 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 Steffen E. Eikenberry. The network helps show where Steffen E. Eikenberry may publish in the future.
Co-authors
The 24 scholars most cited alongside Steffen E. Eikenberry, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 136 | |
| 2 | 2018 | 103 | |
| 3 | 2009 | 89 | |
| 4 | 2009 | 65 | |
| 5 | 2009 | 60 | |
| 6 | 2009 | 59 | |
| 7 | 2010 | 46 | |
| 8 | 2018 | 37 | |
| 9 | 2021 | 29 | |
| 10 | 2019 | 29 | |
| 11 | THE DYNAMICS OF A DELAY MODEL OF HBV INFECTION WITH LOGISTIC HEPATOCYTE GROWTH | 2009 | 28 |
| 12 | 2012 | 16 | |
| 13 | 2020 | 15 | |
| 14 | 2020 | 14 | |
| 15 | 2014 | 9 | |
| 16 | 2020 | 9 | |
| 17 | 2019 | 8 | |
| 18 | 2021 | 6 | |
| 19 | 2024 | 4 | |
| 20 | 2022 | 3 |
About Steffen E. Eikenberry
Steffen E. Eikenberry is a scholar working on Modeling and Simulation, Hepatology, Public Health, Environmental and Occupational Health, Ecological Modeling and Genetics, having authored 26 papers that have together received 777 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (7 papers), Malaria Research and Control (4 papers), Evolution and Genetic Dynamics (4 papers), Hepatitis B Virus Studies (4 papers), Hepatitis C virus research (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Modeling and Simulation (320 citations), Hepatology (85 citations), Public Health, Environmental and Occupational Health (280 citations), Genetics (137 citations) and Biomaterials (51 citations). Steffen E. Eikenberry has collaborated with scholars based in United States, South Africa and Australia. Frequent co-authors include Yang Kuang, Abba B. Gumel, John D. Nagy, Craig J. Thalhauser, Vasilis Z. Marmarelis, Mark C. Preul, Eric J. Kostelich, Tejas Sankar, Kamaldeen Okuneye and Marina Mancuso. Their work appears in journals such as Journal of Mathematical Biology, Mathematical Biosciences & Engineering, The Science of The Total Environment, Biology Direct and Applied Sciences.
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.