Steffen E. Eikenberry

1.6k citations
23 papers · 718 · h-index 13

Impact in

Papers in

Steffen E. Eikenberry

23 papers receiving 697 citations

Peers

Steffen E. Eikenberry
Comparison fields: 5 of 97
  • Modeling and Simulation 296
  • Hepatology 79
  • Public Health, Environmental and Occupational Health 261
  • Genetics 133
  • Epidemiology 111
Replace Xiulan Lai with:
Xiulan Lai China
Jennifer A. Flegg Australia
Morgan Craig Canada
Frank S. Heldt Germany
José Faro Spain
Hubert A. Eddy United States
Jocelyn T. Kim United States
Alan S. Perelson United States
Amina Eladdadi United States
Monika Mehta United States
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Citations per field
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Citations per year

Countries citing papers authored by Steffen E. Eikenberry

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 19 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.

Border = papers with Steffen E. Eikenberry Line = papers co-authored together Steffen E. Eikenberry links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009133
2 201897
3 200986
4 200961
5 200957
6 200957
7 201043
8 201835
9 202126
10
THE DYNAMICS OF A DELAY MODEL OF HBV INFECTION WITH LOGISTIC HEPATOCYTE GROWTH
200926
11 201925
12 201216
13 202014
14 20209
15 20149
16 20198
17 20215
18 20243
19 20212
20 20242

About Steffen E. Eikenberry

Steffen E. Eikenberry is a scholar working on Modeling and Simulation, Epidemiology, Public Health, Environmental and Occupational Health, Hepatology and Genetics, having authored 23 papers that have together received 718 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (6 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), Malaria Research and Control (3 papers), Evolution and Genetic Dynamics (3 papers) and MRI in cancer diagnosis (2 papers). The work is most often cited by research in Modeling and Simulation (296 citations), Hepatology (79 citations), Public Health, Environmental and Occupational Health (261 citations), Genetics (133 citations) and Epidemiology (111 citations). Steffen E. Eikenberry has collaborated with scholars based in United States, South Africa and Germany. 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, Marina Mancuso and Kamaldeen Okuneye. Their work appears in journals such as Mathematical Biosciences & Engineering, Journal of Mathematical Biology, The Science of The Total Environment, Applied Sciences and Conservation Science and Practice.

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.

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