David Pohlreich
- Hematology top 5%
- Immunology top 10%
- Pathology and Forensic Medicine top 10%
- Oncology
- Genetics
- Co-authors
- Hildegard GreinixMichal KoubaWinfried F. PicklUlrike KörmöcziChristoph ZielinskiPeter KalhsEva KrasulováRobert Knobler
- Topics
- Hematopoietic Stem Cell Transplantation (10 papers)Lymphoma Diagnosis and Treatment (6 papers)T-cell and B-cell Immunology (5 papers)
In The Last Decade
David Pohlreich
20 papers receiving 531 citations
Peers
Comparison fields: 5 of 53
- Hematology 291
- Immunology 219
- Pathology and Forensic Medicine 182
- Oncology 182
- Genetics 61
Countries citing papers authored by David Pohlreich
This map shows the geographic impact of David Pohlreich'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 David Pohlreich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Pohlreich more than expected).
Fields of papers citing papers by David Pohlreich
This network shows the impact of papers produced by David Pohlreich. 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 David Pohlreich. The network helps show where David Pohlreich may publish in the future.
Co-authorship network of co-authors of David Pohlreich
This figure shows the co-authorship network connecting the top 25 collaborators of David Pohlreich. A scholar is included among the top collaborators of David Pohlreich based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Pohlreich. David Pohlreich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 7 | |
| 3 | 34 | |
| 4 | 0 | |
| 5 | 55 | |
| 6 | 2 | |
| 7 | 42 | |
| 8 | Comparison of three single platform methods for CD34+ hematopoietic stem cell enumeration by flow cytometry. | 4 |
| 9 | 67 | |
| 10 | 3 | |
| 11 | 14 | |
| 12 | Retrospective analysis of the results of high-dose chemotherapy with the support of autologous blood stem cells in patients with multiple myeloma. The experience of a single centre. | 3 |
| 13 | 33 | |
| 14 | 33 | |
| 15 | 21 | |
| 16 | 43 | |
| 17 | 89 | |
| 18 | 30 | |
| 19 | 35 | |
| 20 | Echocardiographic evaluation of acute cardiotoxicity in the treatment of Hodgkin disease according to the German Hodgkin's Lymphoma Study Group. | 11 |
About David Pohlreich
David Pohlreich is a scholar working on Hematology, Pathology and Forensic Medicine and Immunology, having authored 21 papers that have together received 540 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (10 papers), Lymphoma Diagnosis and Treatment (6 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Hematology (291 citations), Immunology (219 citations) and Pathology and Forensic Medicine (182 citations). David Pohlreich has collaborated with scholars based in Czechia, Germany and France. Frequent co-authors include Hildegard Greinix, Michal Kouba, Winfried F. Pickl, Ulrike Körmöczi, Christoph Zielinski, Peter Kalhs, Eva Krasulová, Robert Knobler, Marek Trněný and Gottfried Fischer. Their work appears in journals such as Blood, British Journal of Haematology and Multiple Sclerosis Journal.
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.