Daniel Eichner
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
-
- Hormonal and reproductive studies
Papers in
-
- Hormonal and reproductive studies 23
- Growth Hormone and Insulin-like Growth Factors 7
- Cell Biology 20
- Muscle metabolism and nutrition 19
- Co-authors
- Holly D. Cox (15 shared papers)Eran Bendavid (2 shared papers)Jay Bhattacharya (2 shared papers)Neeraj Sood (2 shared papers)Geoffrey D. Miller (28 shared papers)Ken Shortman (2 shared papers)Christopher M. Smith (2 shared papers)William R. Heath (2 shared papers)
- Journals
- Drug Testing and Analysis (30 papers)Clinical Chemistry (4 papers)Journal of Pharmaceutical and Biomedical Analysis (2 papers)The Journal of Immunology (2 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Daniel Eichner
57 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 112
- Modeling and Simulation 123
- Endocrinology, Diabetes and Metabolism 387
- Immunology 367
- Hematology 181
- Infectious Diseases 282
Countries citing papers authored by Daniel Eichner
This map shows the geographic impact of Daniel Eichner'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 Daniel Eichner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Eichner more than expected).
Fields of papers citing papers by Daniel Eichner
This network shows the impact of papers produced by Daniel Eichner. 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 Daniel Eichner. The network helps show where Daniel Eichner may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Eichner, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 261 | |
| 2 | 2020 | 258 | |
| 3 | 2021 | 185 | |
| 4 | 2017 | 82 | |
| 5 | 2012 | 80 | |
| 6 | 2002 | 62 | |
| 7 | 2018 | 36 | |
| 8 | 2017 | 34 | |
| 9 | 2017 | 27 | |
| 10 | 2020 | 25 | |
| 11 | 2017 | 25 | |
| 12 | 2017 | 25 | |
| 13 | 2016 | 23 | |
| 14 | 2019 | 21 | |
| 15 | 2014 | 21 | |
| 16 | 2015 | 18 | |
| 17 | 2020 | 17 | |
| 18 | 2020 | 17 | |
| 19 | 2021 | 17 | |
| 20 | 2022 | 16 |
About Daniel Eichner
Daniel Eichner is a scholar working on Endocrinology, Diabetes and Metabolism, Cell Biology, Hematology, Immunology and Sociology and Political Science, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (23 papers), Muscle metabolism and nutrition (19 papers), Erythropoietin and Anemia Treatment (10 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), High Altitude and Hypoxia (6 papers), Pharmacological Effects and Assays (5 papers), Doping in Sports (5 papers) and Biosimilars and Bioanalytical Methods (4 papers). The work is most often cited by research in Modeling and Simulation (123 citations), Endocrinology, Diabetes and Metabolism (387 citations), Immunology (367 citations), Hematology (181 citations) and Infectious Diseases (282 citations). Daniel Eichner has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Holly D. Cox, Eran Bendavid, Jay Bhattacharya, Neeraj Sood, Geoffrey D. Miller, Ken Shortman, Christopher M. Smith, William R. Heath, Gunasegaran Karupiah and Gabrielle T. Belz. Their work appears in journals such as Drug Testing and Analysis, Clinical Chemistry, Journal of Pharmaceutical and Biomedical Analysis, The Journal of Immunology and The Journal of Clinical Endocrinology & Metabolism.
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.