Rainer Moog
Impact in
- Biochemistry top 5%
- Blood transfusion and management
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Blood groups and transfusion
- Acute Myeloid Leukemia Research
Papers in
- Hematology 26
- Hematopoietic Stem Cell Transplantation 13
- Blood groups and transfusion 11
- Platelet Disorders and Treatments 6
- Biochemistry 26
- Blood transfusion and management 26
- Co-authors
- Norbert Müller (11 shared papers)Kristina Hölig (1 shared paper)Christina Peters (3 shared papers)Clemens Unger (2 shared papers)Rolf Schubert (2 shared papers)Ulrich Massing (2 shared papers)Martin Brandl (2 shared papers)Gerda Silling (2 shared papers)
- Journals
- Journal of Clinical Apheresis (7 papers)Transfusion (6 papers)Vox Sanguinis (5 papers)Transfusion Medicine (3 papers)Annals of Hematology (2 papers)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Rainer Moog
63 papers receiving 777 citations
Peers
Comparison fields: 5 of 85
- Biochemistry 147
- Hematology 256
- Management of Technology and Innovation 144
- Genetics 81
- Oncology 173
Countries citing papers authored by Rainer Moog
This map shows the geographic impact of Rainer Moog'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 Rainer Moog with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rainer Moog more than expected).
Fields of papers citing papers by Rainer Moog
This network shows the impact of papers produced by Rainer Moog. 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 Rainer Moog. The network helps show where Rainer Moog may publish in the future.
Co-authors
The 25 scholars most cited alongside Rainer Moog, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 115 | |
| 2 | 2002 | 77 | |
| 3 | 2006 | 38 | |
| 4 | 1999 | 37 | |
| 5 | 2008 | 33 | |
| 6 | 2012 | 32 | |
| 7 | 2003 | 29 | |
| 8 | 2000 | 20 | |
| 9 | 2001 | 19 | |
| 10 | 2010 | 19 | |
| 11 | 2007 | 19 | |
| 12 | 2004 | 19 | |
| 13 | 2009 | 18 | |
| 14 | 2001 | 17 | |
| 15 | 2012 | 17 | |
| 16 | 1997 | 17 | |
| 17 | 2007 | 16 | |
| 18 | 2015 | 15 | |
| 19 | 2006 | 15 | |
| 20 | 2016 | 14 |
About Rainer Moog
Rainer Moog is a scholar working on Hematology, Biochemistry, Management of Technology and Innovation, Oncology and Genetics, having authored 69 papers that have together received 822 indexed citations. Recurring topics across this work include Blood transfusion and management (26 papers), Blood donation and transfusion practices (18 papers), Hematopoietic Stem Cell Transplantation (13 papers), Blood groups and transfusion (11 papers), Neutropenia and Cancer Infections (9 papers), Blood disorders and treatments (8 papers), Platelet Disorders and Treatments (6 papers) and Mesenchymal stem cell research (5 papers). The work is most often cited by research in Biochemistry (147 citations), Hematology (256 citations), Management of Technology and Innovation (144 citations), Genetics (81 citations) and Oncology (173 citations). Rainer Moog has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Norbert Müller, Kristina Hölig, Christina Peters, Clemens Unger, Rolf Schubert, Ulrich Massing, Martin Brandl, Gerda Silling, Markus G. Seidel and Hinnak Northoff. Their work appears in journals such as Journal of Clinical Apheresis, Transfusion, Vox Sanguinis, Transfusion Medicine 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.