Natalie Z.M. Eichner
- Physiology
- Cardiology and Cardiovascular Medicine
- Molecular Biology
- Complementary and alternative medicine top 10%
- Epidemiology
- Co-authors
- Steven K. MalinNicole M. GilbertsonEmily M. HeistonArthur WeltmanJulian M. GaitánUta ErdbrüggerMonique E. FrançoisPeter T. Hallowell
- Topics
- Adipose Tissue and Metabolism (8 papers)Cardiovascular Disease and Adiposity (6 papers)Cardiovascular and exercise physiology (6 papers)
- Journals
- Journal of the American College of CardiologyJournal of Applied PhysiologyMedicine & Science in Sports & Exercise
- Partner nations
- United States
In The Last Decade
Natalie Z.M. Eichner
24 papers receiving 350 citations
Peers
Comparison fields: 5 of 51
- Physiology 184
- Cardiology and Cardiovascular Medicine 128
- Molecular Biology 86
- Complementary and alternative medicine 60
- Epidemiology 51
Countries citing papers authored by Natalie Z.M. Eichner
This map shows the geographic impact of Natalie Z.M. 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 Natalie Z.M. Eichner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie Z.M. Eichner more than expected).
Fields of papers citing papers by Natalie Z.M. Eichner
This network shows the impact of papers produced by Natalie Z.M. 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 Natalie Z.M. Eichner. The network helps show where Natalie Z.M. Eichner may publish in the future.
Co-authorship network of co-authors of Natalie Z.M. Eichner
This figure shows the co-authorship network connecting the top 25 collaborators of Natalie Z.M. Eichner. A scholar is included among the top collaborators of Natalie Z.M. Eichner 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 Natalie Z.M. Eichner. Natalie Z.M. Eichner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 11 | |
| 8 | 14 | |
| 9 | 34 | |
| 10 | 18 | |
| 11 | 10 | |
| 12 | 8 | |
| 13 | 11 | |
| 14 | Two Weeks of Interval Training Enhances Fat Oxidation during Exercise in Obese Adults with Prediabetes. | 16 |
| 15 | 22 | |
| 16 | 36 | |
| 17 | 19 | |
| 18 | 31 | |
| 19 | 0 | |
| 20 | 0 |
About Natalie Z.M. Eichner
Natalie Z.M. Eichner is a scholar working on Complementary and alternative medicine, Physiology and Cardiology and Cardiovascular Medicine, having authored 27 papers that have together received 351 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (8 papers), Cardiovascular Disease and Adiposity (6 papers) and Cardiovascular and exercise physiology (6 papers). The work is most often cited by research in Complementary and alternative medicine (60 citations), Physiology (184 citations) and Cardiology and Cardiovascular Medicine (128 citations). Natalie Z.M. Eichner has collaborated with scholars based in United States. Frequent co-authors include Steven K. Malin, Nicole M. Gilbertson, Emily M. Heiston, Arthur Weltman, Julian M. Gaitán, Uta Erdbrügger, Monique E. François, Peter T. Hallowell, Stephanie L. Miller and Marc D. Breton. Their work appears in journals such as Journal of the American College of Cardiology, Journal of Applied Physiology and Medicine & Science in Sports & Exercise.
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.