Julia Schulz
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 14
- Acute Myeloid Leukemia Research 13
- Hematopoietic Stem Cell Transplantation 8
- Chronic Myeloid Leukemia Treatments 4
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- Pluripotent Stem Cells Research 6
- Co-authors
- Heiko Zimmermann (12 shared papers)Madlen Jentzsch (13 shared papers)Sebastian Schwind (13 shared papers)Dietger Niederwieser (12 shared papers)Juliane Grimm (11 shared papers)Marius Bill (11 shared papers)Vladan Vučinić (9 shared papers)Georg‐Nikolaus Franke (9 shared papers)
In The Last Decade
Julia Schulz
28 papers receiving 528 citations
Peers
Comparison fields: 5 of 63
- Hematology 229
- Genetics 83
- Microbiology 39
- Public Health, Environmental and Occupational Health 121
- Cancer Research 45
Countries citing papers authored by Julia Schulz
This map shows the geographic impact of Julia 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 Julia Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Schulz more than expected).
Fields of papers citing papers by Julia Schulz
This network shows the impact of papers produced by Julia 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 Julia Schulz. The network helps show where Julia Schulz may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 57 | |
| 2 | 2018 | 48 | |
| 3 | 2007 | 45 | |
| 4 | 2020 | 37 | |
| 5 | 2018 | 36 | |
| 6 | 2011 | 35 | |
| 7 | 2011 | 32 | |
| 8 | 2022 | 31 | |
| 9 | 2011 | 29 | |
| 10 | 2008 | 28 | |
| 11 | 2012 | 24 | |
| 12 | 2020 | 21 | |
| 13 | 2019 | 19 | |
| 14 | 2012 | 17 | |
| 15 | 2017 | 17 | |
| 16 | 2012 | 14 | |
| 17 | 2018 | 14 | |
| 18 | 2021 | 14 | |
| 19 | 2020 | 8 | |
| 20 | 2009 | 5 |
About Julia Schulz
Julia Schulz is a scholar working on Hematology, Molecular Biology, Genetics, Public Health, Environmental and Occupational Health and Surgery, having authored 30 papers that have together received 546 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (13 papers), Hematopoietic Stem Cell Transplantation (8 papers), Pluripotent Stem Cells Research (6 papers), Tissue Engineering and Regenerative Medicine (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Acute Lymphoblastic Leukemia research (3 papers) and Reproductive Biology and Fertility (3 papers). The work is most often cited by research in Hematology (229 citations), Genetics (83 citations), Microbiology (39 citations), Public Health, Environmental and Occupational Health (121 citations) and Cancer Research (45 citations). Julia Schulz has collaborated with scholars based in Germany, Austria and Israel. Frequent co-authors include Heiko Zimmermann, Madlen Jentzsch, Sebastian Schwind, Dietger Niederwieser, Juliane Grimm, Marius Bill, Vladan Vučinić, Georg‐Nikolaus Franke, Uwe Platzbecker and Alisa Katsen‐Globa. Their work appears in journals such as Cryobiology, HemaSphere, Blood, Bone Marrow Transplantation 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.