Stefan Scheding
Impact in
- Genetics top 0.5%
- Mesenchymal stem cell research
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
Papers in
- Hematology 45
- Hematopoietic Stem Cell Transplantation 36
- Acute Myeloid Leukemia Research 9
- Genetics 36
- Mesenchymal stem cell research 27
- Myeloproliferative Neoplasms: Diagnosis and Treatment 6
- Co-authors
- Ariane TorminThomas LaurellJohan BengzonHooi Ching LimRoshanak GhazanfariLothar KanzDaniel BexellJan C. Brune
- Journals
- Blood (14 papers)Scientific Reports (6 papers)Stem Cells (5 papers)Transfusion (4 papers)Annals of the New York Academy of Sciences (4 papers)
- Partner nations
- SwedenGermanyUnited States
In The Last Decade
Stefan Scheding
87 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 110
- Genetics 1.1k
- Hematology 630
- Oncology 666
- Cancer Research 267
- Immunology 334
Countries citing papers authored by Stefan Scheding
This map shows the geographic impact of Stefan Scheding'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 Stefan Scheding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Scheding more than expected).
Fields of papers citing papers by Stefan Scheding
This network shows the impact of papers produced by Stefan Scheding. 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 Stefan Scheding. The network helps show where Stefan Scheding may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Scheding, 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 | 24 | |
| 2 | 2018 | 8 | |
| 3 | 2017 | 1 | |
| 4 | 2017 | 40 | |
| 5 | 2016 | 35 | |
| 6 | 2013 | 114 | |
| 7 | 2011 | 348 | |
| 8 | 2011 | 25 | |
| 9 | 2011 | 86 | |
| 10 | 2010 | 1 | |
| 11 | 2010 | 58 | |
| 12 | 2010 | 2 | |
| 13 | 2008 | 199 | |
| 14 | 2004 | 40 | |
| 15 | 2003 | 7 | |
| 16 | 2001 | 1 | |
| 17 | 2000 | 16 | |
| 18 | 2000 | 18 | |
| 19 | 1999 | 1 | |
| 20 | 1999 | 23 |
About Stefan Scheding
Stefan Scheding is a scholar working on Hematology, Genetics, Oncology, Immunology and Physical and Theoretical Chemistry, having authored 91 papers that have together received 2.7k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (36 papers), Mesenchymal stem cell research (27 papers), Cancer Cells and Metastasis (18 papers), Microfluidic and Bio-sensing Technologies (13 papers), Immunotherapy and Immune Responses (11 papers), Acute Myeloid Leukemia Research (9 papers), Microfluidic and Capillary Electrophoresis Applications (7 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers). The work is most often cited by research in Genetics (1.1k citations), Hematology (630 citations), Oncology (666 citations), Cancer Research (267 citations) and Immunology (334 citations). Stefan Scheding has collaborated with scholars based in Sweden, Germany and United States. Frequent co-authors include Ariane Tormin, Thomas Laurell, Johan Bengzon, Hooi Ching Lim, Roshanak Ghazanfari, Lothar Kanz, Daniel Bexell, Jan C. Brune, Dimitra Zacharaki and Moustapha Kassem. Their work appears in journals such as Blood, Scientific Reports, Stem Cells, Transfusion and Annals of the New York Academy of Sciences.
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.