D. Peest
Impact in
- Hematology top 1%
- Multiple Myeloma Research and Treatments
- Erythropoietin and Anemia Treatment
- Oncology top 5%
- Peptidase Inhibition and Analysis
- Cancer Treatment and Pharmacology
Papers in
- Hematology 45
- Multiple Myeloma Research and Treatments 42
- Oncology 27
- Cancer Treatment and Pharmacology 14
- Peptidase Inhibition and Analysis 5
- Co-authors
- H. Deicher (16 shared papers)Dagny Pettersson (3 shared papers)INGOLF SCHEDEL (8 shared papers)Arnold Ganser (7 shared papers)Anders Österborg (2 shared papers)ALBERT NAJMAN (1 shared paper)Gunnar Juliusson (1 shared paper)Ursula Essers (1 shared paper)
In The Last Decade
D. Peest
54 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 81
- Hematology 1.2k
- Oncology 569
- Genetics 223
- Immunology 286
- Molecular Biology 585
Countries citing papers authored by D. Peest
This map shows the geographic impact of D. Peest'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 D. Peest with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Peest more than expected).
Fields of papers citing papers by D. Peest
This network shows the impact of papers produced by D. Peest. 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 D. Peest. The network helps show where D. Peest may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Peest, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Combination chemotherapy versus melphalan plus prednisone as treatment for multiple myeloma: An overview of 6,633 patients from 27 randomized trials | 1998 | 414 |
| 2 | 1996 | 163 | |
| 3 | 1992 | 98 | |
| 4 | 1982 | 81 | |
| 5 | 1999 | 74 | |
| 6 | 1995 | 59 | |
| 7 | 1982 | 55 | |
| 8 | 2005 | 40 | |
| 9 | 2008 | 39 | |
| 10 | 1988 | 37 | |
| 11 | 1991 | 37 | |
| 12 | 2003 | 36 | |
| 13 | 1995 | 36 | |
| 14 | 2019 | 34 | |
| 15 | 1988 | 31 | |
| 16 | 1980 | 31 | |
| 17 | 1982 | 30 | |
| 18 | 2009 | 27 | |
| 19 | 1985 | 25 | |
| 20 | 2006 | 24 |
About D. Peest
D. Peest is a scholar working on Hematology, Oncology, Genetics, Immunology and Molecular Biology, having authored 59 papers that have together received 1.6k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (42 papers), Cancer Treatment and Pharmacology (14 papers), Protein Degradation and Inhibitors (11 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Immunotherapy and Immune Responses (7 papers), Glycosylation and Glycoproteins Research (5 papers), Peptidase Inhibition and Analysis (5 papers) and Chronic Lymphocytic Leukemia Research (5 papers). The work is most often cited by research in Hematology (1.2k citations), Oncology (569 citations), Genetics (223 citations), Immunology (286 citations) and Molecular Biology (585 citations). D. Peest has collaborated with scholars based in Germany, Sweden and Italy. Frequent co-authors include H. Deicher, Dagny Pettersson, INGOLF SCHEDEL, Arnold Ganser, Anders Österborg, ALBERT NAJMAN, Gunnar Juliusson, Ursula Essers, Renato Cimino and Hákan Mellstedt. Their work appears in journals such as Blood, British Journal of Haematology, Annals of Hematology, European Journal of Cancer and Scandinavian Journal of 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.