Katja Sockel
- Hematology top 5%
- Genetics top 5%
- Molecular Biology
- Computer Vision and Pattern Recognition top 10%
- Oncology
- Co-authors
- Martin BornhäuserUwe PlatzbeckerJan Moritz MiddekeMichael KrämerJohannes ScheteligChristoph RölligMalte von BoninChristian Thiede
- Topics
- Acute Myeloid Leukemia Research (32 papers)Hematopoietic Stem Cell Transplantation (15 papers)Myeloproliferative Neoplasms: Diagnosis and Treatment (11 papers)
- Cited by
- HematologyGeneticsHealth Informatics
- Journals
- New England Journal of MedicineJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- GermanyUnited KingdomFrance
In The Last Decade
Katja Sockel
47 papers receiving 520 citations
Peers
Comparison fields: 5 of 63
- Hematology 301
- Genetics 196
- Molecular Biology 87
- Computer Vision and Pattern Recognition 78
- Oncology 77
Countries citing papers authored by Katja Sockel
This map shows the geographic impact of Katja Sockel'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 Katja Sockel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katja Sockel more than expected).
Fields of papers citing papers by Katja Sockel
This network shows the impact of papers produced by Katja Sockel. 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 Katja Sockel. The network helps show where Katja Sockel may publish in the future.
Co-authorship network of co-authors of Katja Sockel
This figure shows the co-authorship network connecting the top 25 collaborators of Katja Sockel. A scholar is included among the top collaborators of Katja Sockel 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 Katja Sockel. Katja Sockel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 18 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | Allogeneic Stem Cell Transplantation with Sequential Melphalan-Based Conditioning in AML: Residual Morphological Blast Count Determines the Risk of Relapse | 3 |
| 10 | 10 | |
| 11 | 41 | |
| 12 | 16 | |
| 13 | 10 | |
| 14 | 60 | |
| 15 | 34 | |
| 16 | 3 | |
| 17 | 11 | |
| 18 | 7 | |
| 19 | 57 | |
| 20 | 2 |
About Katja Sockel
Katja Sockel is a scholar working on Hematology, Genetics and Emergency Medicine, having authored 51 papers that have together received 526 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (32 papers), Hematopoietic Stem Cell Transplantation (15 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (11 papers). The work is most often cited by research in Hematology (301 citations), Genetics (196 citations) and Health Informatics (12 citations). Katja Sockel has collaborated with scholars based in Germany, United Kingdom and France. Frequent co-authors include Martin Bornhäuser, Uwe Platzbecker, Jan Moritz Middeke, Michael Krämer, Johannes Schetelig, Christoph Röllig, Malte von Bonin, Christian Thiede, Friedrich Stölzel and Frank Kroschinsky. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.