Michael Schieber
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Biochemistry top 2%
Papers in
- Genetics 3
- Myeloproliferative Neoplasms: Diagnosis and Treatment 2
- Chronic Lymphocytic Leukemia Research 1
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- Acute Myeloid Leukemia Research 3
- Co-authors
- Navdeep S. Chandel (4 shared papers)Johannes N. Spelbrink (1 shared paper)Ralph J. DeBerardinis (1 shared paper)He Huang (1 shared paper)Tianyuan Wang (1 shared paper)Hyewon Kong (1 shared paper)Inmaculada Martínez‐Reyes (1 shared paper)Christopher T. Hensley (1 shared paper)
- Journals
- Blood Cancer Journal (2 papers)Journal of Clinical Investigation (1 paper)Molecular Cell (1 paper)F1000Research (1 paper)Current Biology (1 paper)
- Partner nations
- United StatesFinlandNetherlands
In The Last Decade
Michael Schieber
11 papers receiving 6.5k citations
Michael Schieber's Hit Papers
Peers
Comparison fields: 5 of 112
- Aging 101
- Biochemistry 137
- Molecular Biology 1.1k
- Cancer Research 182
- Health, Toxicology and Mutagenesis 175
Countries citing papers authored by Michael Schieber
This map shows the geographic impact of Michael Schieber'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 Michael Schieber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Schieber more than expected).
Fields of papers citing papers by Michael Schieber
This network shows the impact of papers produced by Michael Schieber. 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 Michael Schieber. The network helps show where Michael Schieber may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Schieber, 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 | ROS Function in Redox Signaling and Oxidative Stress Hit paper breakdown → | 2014 | 5726 |
| 2 | 2015 | 445 | |
| 3 | 2013 | 114 | |
| 4 | 2014 | 69 | |
| 5 | 2019 | 62 | |
| 6 | 2019 | 37 | |
| 7 | 2018 | 35 | |
| 8 | 2021 | 35 | |
| 9 | 2020 | 24 | |
| 10 | 2019 | 13 | |
| 11 | 2024 | 1 | |
| 12 | 2026 | 0 |
About Michael Schieber
Michael Schieber is a scholar working on Genetics, Hematology, Aging, Pathology and Forensic Medicine and Physiology, having authored 12 papers that have together received 6.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Chronic Lymphocytic Leukemia Research (1 paper), Mitochondrial Function and Pathology (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Genetics, Aging, and Longevity in Model Organisms (1 paper), Redox biology and oxidative stress (1 paper) and Nutrition and Health in Aging (1 paper). The work is most often cited by research in Aging (101 citations), Biochemistry (137 citations), Molecular Biology (1.1k citations), Cancer Research (182 citations) and Health, Toxicology and Mutagenesis (175 citations). Michael Schieber has collaborated with scholars based in United States, Finland and Netherlands. Frequent co-authors include Navdeep S. Chandel, Johannes N. Spelbrink, Ralph J. DeBerardinis, He Huang, Tianyuan Wang, Hyewon Kong, Inmaculada Martínez‐Reyes, Christopher T. Hensley, Éric Dufour and Lauren P. Diebold. Their work appears in journals such as Blood Cancer Journal, Journal of Clinical Investigation, Molecular Cell, F1000Research and Current Biology.
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.