Nicholas Schreck
Impact in
-
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Chronic Myeloid Leukemia Treatments
Papers in
-
- Histone Deacetylase Inhibitors Research 2
- Gene expression and cancer classification 1
-
- Acute Myeloid Leukemia Research 3
- Co-authors
- Axel Benner (7 shared papers)Annika Reinke (2 shared papers)Lena Maier‐Hein (3 shared papers)Minu D. Tizabi (3 shared papers)Carsten Müller‐Tidow (3 shared papers)Julia Krzykalla (4 shared papers)Michael Schmitt (2 shared papers)Ali Emre Kavur (1 shared paper)
- Journals
- European Journal of Clinical Investigation (1 paper)Nature Biomedical Engineering (1 paper)HemaSphere (1 paper)Genetics (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- GermanyItalyUnited States
In The Last Decade
Nicholas Schreck
10 papers receiving 159 citations
Peers
Comparison fields: 5 of 56
- Health Informatics 5
- Hematology 39
- Genetics 13
- Oncology 30
- Biophysics 6
Countries citing papers authored by Nicholas Schreck
This map shows the geographic impact of Nicholas Schreck'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 Nicholas Schreck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Schreck more than expected).
Fields of papers citing papers by Nicholas Schreck
This network shows the impact of papers produced by Nicholas Schreck. 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 Nicholas Schreck. The network helps show where Nicholas Schreck may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicholas Schreck, 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 | 2023 | 38 | |
| 2 | 2022 | 35 | |
| 3 | 2023 | 25 | |
| 4 | 2022 | 21 | |
| 5 | 2021 | 12 | |
| 6 | 2022 | 10 | |
| 7 | 2024 | 9 | |
| 8 | 2019 | 8 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2025 | 0 | |
| 12 | 2026 | 0 |
About Nicholas Schreck
Nicholas Schreck is a scholar working on Molecular Biology, Hematology, Genetics, Oncology and Artificial Intelligence, having authored 12 papers that have together received 161 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Histone Deacetylase Inhibitors Research (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers), Nanoplatforms for cancer theranostics (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper), Ultrasound and Hyperthermia Applications (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Health Informatics (5 citations), Hematology (39 citations), Genetics (13 citations), Oncology (30 citations) and Biophysics (6 citations). Nicholas Schreck has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Axel Benner, Annika Reinke, Lena Maier‐Hein, Minu D. Tizabi, Carsten Müller‐Tidow, Julia Krzykalla, Michael Schmitt, Ali Emre Kavur, Maral Saadati and Tim Rädsch. Their work appears in journals such as European Journal of Clinical Investigation, Nature Biomedical Engineering, HemaSphere, Genetics and Frontiers in Immunology.
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.