Eduard Schulz
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Infectious Diseases top 10%
- Antifungal resistance and susceptibility
- Clostridium difficile and Clostridium perfringens research
Papers in
- Hematology 21
- Acute Myeloid Leukemia Research 11
- Hematopoietic Stem Cell Transplantation 8
- Oncology 11
- Cancer-related Molecular Pathways 3
- Co-authors
- Heinz Sill (8 shared papers)Armin Zebisch (4 shared papers)Werner Olipitz (2 shared papers)Albert Wölfler (3 shared papers)Peter Neumeister (7 shared papers)Gregor Gorkiewicz (3 shared papers)Stefan Hatzl (10 shared papers)Barbara Uhl (5 shared papers)
- Journals
- Acta Polymerica (4 papers)Haematologica (3 papers)Blood Advances (3 papers)Blood (2 papers)British Journal of Haematology (2 papers)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Eduard Schulz
48 papers receiving 866 citations
Peers
Comparison fields: 5 of 99
- Hematology 280
- Infectious Diseases 201
- Genetics 93
- Cancer Research 114
- Pathology and Forensic Medicine 103
Countries citing papers authored by Eduard Schulz
This map shows the geographic impact of Eduard 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 Eduard Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eduard Schulz more than expected).
Fields of papers citing papers by Eduard Schulz
This network shows the impact of papers produced by Eduard 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 Eduard Schulz. The network helps show where Eduard Schulz may publish in the future.
Co-authors
The 25 scholars most cited alongside Eduard 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 117 | |
| 2 | 2010 | 100 | |
| 3 | 2012 | 92 | |
| 4 | 2021 | 77 | |
| 5 | 2015 | 75 | |
| 6 | 2014 | 51 | |
| 7 | 2017 | 48 | |
| 8 | 2022 | 33 | |
| 9 | 2021 | 31 | |
| 10 | 2022 | 30 | |
| 11 | 2014 | 26 | |
| 12 | 2009 | 25 | |
| 13 | 2014 | 24 | |
| 14 | 2021 | 19 | |
| 15 | 2021 | 19 | |
| 16 | 2020 | 14 | |
| 17 | 1984 | 12 | |
| 18 | 2023 | 11 | |
| 19 | 2021 | 8 | |
| 20 | 2024 | 6 |
About Eduard Schulz
Eduard Schulz is a scholar working on Hematology, Oncology, Genetics, Infectious Diseases and Pathology and Forensic Medicine, having authored 55 papers that have together received 885 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (11 papers), Hematopoietic Stem Cell Transplantation (8 papers), Cancer Genomics and Diagnostics (4 papers), Acute Lymphoblastic Leukemia research (4 papers), COVID-19 Clinical Research Studies (3 papers), Ophthalmology and Eye Disorders (3 papers), Cancer-related Molecular Pathways (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Hematology (280 citations), Infectious Diseases (201 citations), Genetics (93 citations), Cancer Research (114 citations) and Pathology and Forensic Medicine (103 citations). Eduard Schulz has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Heinz Sill, Armin Zebisch, Werner Olipitz, Albert Wölfler, Peter Neumeister, Gregor Gorkiewicz, Stefan Hatzl, Barbara Uhl, Juergen Prattes and Martin Hoenigl. Their work appears in journals such as Acta Polymerica, Haematologica, Blood Advances, Blood and British Journal of Haematology.
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.