Miriam Eckstein
Impact in
- Sensory Systems top 1%
- Ion Channels and Receptors
- Immunology top 5%
- T-cell and B-cell Immunology
Papers in
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- Ion Channels and Receptors 9
-
- T-cell and B-cell Immunology 4
- Co-authors
- Martin Vaeth (11 shared papers)Stefan Feske (10 shared papers)Rodrigo S. Lacruz (12 shared papers)Jun J.J. Yang (3 shared papers)Meerim K. Nurbaeva (6 shared papers)Friederike Berberich‐Siebelt (2 shared papers)Wolfgang Kastenmüller (2 shared papers)Bart Ghesquière (2 shared papers)
- Journals
- Nature Communications (3 papers)Immunity (2 papers)Acta Neurologica Scandinavica (1 paper)Journal of Dental Research (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Miriam Eckstein
20 papers receiving 1.4k citations
Miriam Eckstein's Hit Papers
Peers
Comparison fields: 5 of 81
- Sensory Systems 385
- Immunology 365
- Physiology 64
- Dermatology 76
- Oncology 175
Countries citing papers authored by Miriam Eckstein
This map shows the geographic impact of Miriam Eckstein'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 Miriam Eckstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miriam Eckstein more than expected).
Fields of papers citing papers by Miriam Eckstein
This network shows the impact of papers produced by Miriam Eckstein. 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 Miriam Eckstein. The network helps show where Miriam Eckstein may publish in the future.
Co-authors
The 25 scholars most cited alongside Miriam Eckstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 222 | |
| 2 | Mitochondrial dysfunction promotes the transition of precursor to terminally exhausted T cells through HIF-1α-mediated glycolytic reprogramming Hit paper breakdown → | 2023 | 206 |
| 3 | 2017 | 182 | |
| 4 | 2022 | 177 | |
| 5 | 2016 | 96 | |
| 6 | 2017 | 82 | |
| 7 | 2016 | 74 | |
| 8 | 2019 | 52 | |
| 9 | 2017 | 49 | |
| 10 | 2019 | 45 | |
| 11 | 2015 | 43 | |
| 12 | 2016 | 42 | |
| 13 | 2013 | 36 | |
| 14 | 2015 | 26 | |
| 15 | 2023 | 25 | |
| 16 | 2018 | 22 | |
| 17 | 2018 | 21 | |
| 18 | 2018 | 18 | |
| 19 | 2021 | 9 | |
| 20 | 2009 | 3 |
About Miriam Eckstein
Miriam Eckstein is a scholar working on Sensory Systems, Immunology, Cancer Research, Rheumatology and Molecular Biology, having authored 20 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ion Channels and Receptors (9 papers), T-cell and B-cell Immunology (4 papers), dental development and anomalies (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Bone and Dental Protein Studies (2 papers), Cutaneous lymphoproliferative disorders research (1 paper) and Bacterial Infections and Vaccines (1 paper). The work is most often cited by research in Sensory Systems (385 citations), Immunology (365 citations), Physiology (64 citations), Dermatology (76 citations) and Oncology (175 citations). Miriam Eckstein has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Martin Vaeth, Stefan Feske, Rodrigo S. Lacruz, Jun J.J. Yang, Meerim K. Nurbaeva, Friederike Berberich‐Siebelt, Wolfgang Kastenmüller, Bart Ghesquière, Stuart E. Turvey and Sophia M. Hochrein. Their work appears in journals such as Nature Communications, Immunity, Acta Neurologica Scandinavica, Journal of Dental Research and Journal of Clinical Investigation.
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.