Tina M. Schnöder
Impact in
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- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
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- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
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- Histone Deacetylase Inhibitors Research 2
- Kruppel-like factors research 1
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- Acute Myeloid Leukemia Research 5
- Chronic Myeloid Leukemia Treatments 2
- Co-authors
- Florian H. Heidel (12 shared papers)Thomas Fischer (6 shared papers)Manfred Schmitt (2 shared papers)Janet M. Lord (1 shared paper)Lynne M. Roberts (1 shared paper)Shuyu Li (1 shared paper)Graham Ladds (1 shared paper)Christopher P. Guise (1 shared paper)
- Journals
- Journal of Cancer Research and Clinical Oncology (2 papers)Leukemia (2 papers)Molecular Biology of the Cell (1 paper)Nature Cell Biology (1 paper)Oncotarget (1 paper)
- Partner nations
- GermanyAustraliaUnited Kingdom
In The Last Decade
Tina M. Schnöder
13 papers receiving 199 citations
Peers
Comparison fields: 5 of 50
- Hematology 62
- Genetics 42
- Biotechnology 29
- Immunology 55
- Cell Biology 31
Countries citing papers authored by Tina M. Schnöder
This map shows the geographic impact of Tina M. Schnöder'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 Tina M. Schnöder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tina M. Schnöder more than expected).
Fields of papers citing papers by Tina M. Schnöder
This network shows the impact of papers produced by Tina M. Schnöder. 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 Tina M. Schnöder. The network helps show where Tina M. Schnöder may publish in the future.
Co-authors
The 25 scholars most cited alongside Tina M. Schnöder, 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 | 2010 | 43 | |
| 2 | 2019 | 25 | |
| 3 | 2014 | 22 | |
| 4 | 2017 | 22 | |
| 5 | 2020 | 20 | |
| 6 | 2012 | 14 | |
| 7 | 2017 | 12 | |
| 8 | 2017 | 11 | |
| 9 | 2019 | 11 | |
| 10 | 2022 | 10 | |
| 11 | 2016 | 5 | |
| 12 | 2016 | 4 | |
| 13 | 2018 | 1 | |
| 14 | 2025 | 0 |
About Tina M. Schnöder
Tina M. Schnöder is a scholar working on Molecular Biology, Hematology, Genetics, Rheumatology and Immunology, having authored 14 papers that have together received 200 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Eosinophilic Disorders and Syndromes (3 papers), Toxin Mechanisms and Immunotoxins (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Pancreatic function and diabetes (1 paper) and Kruppel-like factors research (1 paper). The work is most often cited by research in Hematology (62 citations), Genetics (42 citations), Biotechnology (29 citations), Immunology (55 citations) and Cell Biology (31 citations). Tina M. Schnöder has collaborated with scholars based in Germany, Australia and United Kingdom. Frequent co-authors include Florian H. Heidel, Thomas Fischer, Manfred Schmitt, Janet M. Lord, Lynne M. Roberts, Shuyu Li, Graham Ladds, Christopher P. Guise, Robert A. Spooner and Jörg P. Müller. Their work appears in journals such as Journal of Cancer Research and Clinical Oncology, Leukemia, Molecular Biology of the Cell, Nature Cell Biology and Oncotarget.
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.