Markus Wiesneth
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Hematology 64
- Hematopoietic Stem Cell Transplantation 45
- Blood groups and transfusion 12
- Acute Myeloid Leukemia Research 11
- Immunology 40
- Immunotherapy and Immune Responses 24
- Immune Cell Function and Interaction 13
- Co-authors
- Donald BunjesMichael SchmittHartmut DöhnerJochen GreinerHubert SchrezenmeierBernd HertensteinAnita SchmittPeter Reinhardt
- Journals
- Blood (15 papers)Transfusion (8 papers)British Journal of Haematology (6 papers)Annals of Hematology (6 papers)Vox Sanguinis (5 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Markus Wiesneth
117 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 108
- Hematology 982
- Immunology 903
- Genetics 412
- Oncology 802
- Transplantation 74
Countries citing papers authored by Markus Wiesneth
This map shows the geographic impact of Markus Wiesneth'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 Markus Wiesneth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Wiesneth more than expected).
Fields of papers citing papers by Markus Wiesneth
This network shows the impact of papers produced by Markus Wiesneth. 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 Markus Wiesneth. The network helps show where Markus Wiesneth may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Wiesneth, 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 | 2020 | 12 | |
| 2 | 2019 | 34 | |
| 3 | 2018 | 10 | |
| 4 | 2012 | 3 | |
| 5 | 2010 | 14 | |
| 6 | 2010 | 170 | |
| 7 | 2008 | 19 | |
| 8 | 2008 | 39 | |
| 9 | 2005 | 68 | |
| 10 | 2004 | 54 | |
| 11 | 2003 | 29 | |
| 12 | Myeloablative radioimmunotherapy with Re-188-labeled anti-CD66a,b,c,e-antibody for conditioning of high-risk ALL and CML patients prior to stem cell transplantation | 2000 | 1 |
| 13 | 2000 | 8 | |
| 14 | 2000 | 7 | |
| 15 | 1999 | 35 | |
| 16 | 1998 | 29 | |
| 17 | 1995 | 1 | |
| 18 | 1995 | 11 | |
| 19 | 1994 | 73 | |
| 20 | 1987 | 1 |
About Markus Wiesneth
Markus Wiesneth is a scholar working on Hematology, Immunology, Biochemistry, Genetics and Oncology, having authored 118 papers that have together received 2.7k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (45 papers), Immunotherapy and Immune Responses (24 papers), CAR-T cell therapy research (19 papers), Immune Cell Function and Interaction (13 papers), Neutropenia and Cancer Infections (12 papers), Blood groups and transfusion (12 papers), Acute Myeloid Leukemia Research (11 papers) and Blood disorders and treatments (10 papers). The work is most often cited by research in Hematology (982 citations), Immunology (903 citations), Genetics (412 citations), Oncology (802 citations) and Transplantation (74 citations). Markus Wiesneth has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Donald Bunjes, Michael Schmitt, Hartmut Döhner, Jochen Greiner, Hubert Schrezenmeier, Bernd Hertenstein, Anita Schmitt, Peter Reinhardt, R. Arnold and H. Heimpel. Their work appears in journals such as Blood, Transfusion, British Journal of Haematology, Annals of Hematology and Vox Sanguinis.
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.