Gregor Schulz
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Neurology top 5%
- Neuroblastoma Research and Treatments
Papers in
- Hematology 11
- Hematopoietic Stem Cell Transplantation 8
- Acute Myeloid Leukemia Research 3
- Oncology 10
- Neutropenia and Cancer Infections 8
- Co-authors
- Nissi Varki (1 shared paper)Alice L. Yu (1 shared paper)David A. Cheresh (2 shared papers)Ralph A. Reisfeld (3 shared papers)Roland Mertelsmann (7 shared papers)Wolfgang Oster (4 shared papers)Jürgen Frisch (7 shared papers)F. Herrmann (3 shared papers)
- Journals
- Cancer (4 papers)British Journal of Haematology (1 paper)Molecular Immunology (1 paper)Journal of Immunological Methods (1 paper)The American Journal of Medicine (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Gregor Schulz
21 papers receiving 790 citations
Peers
Comparison fields: 5 of 70
- Hematology 203
- Neurology 231
- Oncology 329
- Immunology 191
- Genetics 52
Countries citing papers authored by Gregor Schulz
This map shows the geographic impact of Gregor Schulz'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 Gregor Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregor Schulz more than expected).
Fields of papers citing papers by Gregor Schulz
This network shows the impact of papers produced by Gregor Schulz. 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 Gregor Schulz. The network helps show where Gregor Schulz may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregor Schulz, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Detection of ganglioside GD2 in tumor tissues and sera of neuroblastoma patients. | 1984 | 335 |
| 2 | 1991 | 79 | |
| 3 | 1993 | 61 | |
| 4 | 1990 | 59 | |
| 5 | 1978 | 47 | |
| 6 | 1995 | 37 | |
| 7 | 1991 | 35 | |
| 8 | 1991 | 32 | |
| 9 | 1990 | 32 | |
| 10 | 1998 | 25 | |
| 11 | 1997 | 19 | |
| 12 | 1998 | 19 | |
| 13 | 1991 | 17 | |
| 14 | 1990 | 17 | |
| 15 | 1984 | 10 | |
| 16 | 1992 | 6 | |
| 17 | 1991 | 5 | |
| 18 | 1992 | 4 | |
| 19 | 1992 | 2 | |
| 20 | 1989 | 1 |
About Gregor Schulz
Gregor Schulz is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Emergency Medicine, having authored 21 papers that have together received 843 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (8 papers), Neutropenia and Cancer Infections (8 papers), Hematological disorders and diagnostics (3 papers), Acute Myeloid Leukemia Research (3 papers), Virus-based gene therapy research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Blood disorders and treatments (2 papers) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Hematology (203 citations), Neurology (231 citations), Oncology (329 citations), Immunology (191 citations) and Genetics (52 citations). Gregor Schulz has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Nissi Varki, Alice L. Yu, David A. Cheresh, Ralph A. Reisfeld, Roland Mertelsmann, Wolfgang Oster, Jürgen Frisch, F. Herrmann, A. Lindemann and C. Dienst. Their work appears in journals such as Cancer, British Journal of Haematology, Molecular Immunology, Journal of Immunological Methods and The American Journal of Medicine.
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.