Guido Bisping
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Oncology top 10%
- Peptidase Inhibition and Analysis
- Cancer Treatment and Pharmacology
Papers in
- Hematology 19
- Multiple Myeloma Research and Treatments 11
- Hematopoietic Stem Cell Transplantation 5
- Chronic Myeloid Leukemia Treatments 4
- Acute Myeloid Leukemia Research 3
- Oncology 10
- Cancer Treatment and Pharmacology 4
- Co-authors
- Wolfgang E. Berdel (22 shared papers)Joachim Kienast (18 shared papers)Martin H. Kropff (12 shared papers)Athanasios Tragiannidis (1 shared paper)Gabriele Koehler (1 shared paper)Andreas H. Groll (1 shared paper)Nicola Lang (4 shared papers)Rolf Michael Mesters (6 shared papers)
In The Last Decade
Guido Bisping
33 papers receiving 926 citations
Peers
Comparison fields: 5 of 73
- Hematology 513
- Oncology 285
- Genetics 86
- Internal Medicine 26
- Molecular Biology 419
Countries citing papers authored by Guido Bisping
This map shows the geographic impact of Guido Bisping'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 Guido Bisping with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guido Bisping more than expected).
Fields of papers citing papers by Guido Bisping
This network shows the impact of papers produced by Guido Bisping. 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 Guido Bisping. The network helps show where Guido Bisping may publish in the future.
Co-authors
The 25 scholars most cited alongside Guido Bisping, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 142 | |
| 2 | 2003 | 112 | |
| 3 | 2003 | 108 | |
| 4 | 2009 | 90 | |
| 5 | 2001 | 66 | |
| 6 | 2005 | 49 | |
| 7 | 2016 | 34 | |
| 8 | 2009 | 32 | |
| 9 | 2005 | 31 | |
| 10 | 2009 | 30 | |
| 11 | An open-label dose-escalation study of BIBF 1120 in patients with relapsed or refractory multiple myeloma. | 2009 | 27 |
| 12 | 2004 | 26 | |
| 13 | 2006 | 25 | |
| 14 | 2014 | 25 | |
| 15 | 2006 | 23 | |
| 16 | 2005 | 22 | |
| 17 | 2004 | 19 | |
| 18 | 2017 | 18 | |
| 19 | 2007 | 18 | |
| 20 | 1999 | 16 |
About Guido Bisping
Guido Bisping is a scholar working on Hematology, Oncology, Pathology and Forensic Medicine, Genetics and Internal Medicine, having authored 34 papers that have together received 966 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (11 papers), Hematopoietic Stem Cell Transplantation (5 papers), Protein Degradation and Inhibitors (4 papers), Cancer Treatment and Pharmacology (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Immune Cell Function and Interaction (4 papers), Acute Myeloid Leukemia Research (3 papers) and Eosinophilic Disorders and Syndromes (2 papers). The work is most often cited by research in Hematology (513 citations), Oncology (285 citations), Genetics (86 citations), Internal Medicine (26 citations) and Molecular Biology (419 citations). Guido Bisping has collaborated with scholars based in Germany, Austria and Poland. Frequent co-authors include Wolfgang E. Berdel, Joachim Kienast, Martin H. Kropff, Athanasios Tragiannidis, Gabriele Koehler, Andreas H. Groll, Nicola Lang, Rolf Michael Mesters, Christian Scheffold and Achim Heinecke. Their work appears in journals such as Blood, British Journal of Haematology, Leukemia, International Journal of Cancer and Annals of Hematology.
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.