Julia C. Schulz

630 citations
29 papers · 530 · h-index 15

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Mesenchymal stem cell research

Papers in

    • Acute Myeloid Leukemia Research 17
    • Hematopoietic Stem Cell Transplantation 6
    • T-cell and B-cell Immunology 2

Julia C. Schulz

27 papers receiving 519 citations

Peers

Julia C. Schulz
Comparison fields: 5 of 44
  • Hematology 327
  • Genetics 37
  • Biochemistry 23
  • Immunology 34
  • Atmospheric Science 24
Replace K. H. Th'ng with:
K. H. Th'ng United Kingdom
Helene Polin Austria
Rudy Fuentes United States
Tamara A. Vayntrub United States
Katherine H. Miller United States
GH Reaman United States
Véronique Baccini France
Teresa M. Brophy Ireland
Jean Noades United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Julia C. Schulz

Since Specialization
Citations

This map shows the geographic impact of Julia C. 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 C. 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 C. Schulz more than expected).

Fields of papers citing papers by Julia C. Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia C. 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 C. Schulz. The network helps show where Julia C. Schulz may publish in the future.

Co-authors

The 25 scholars most cited alongside Julia C. Schulz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Julia C. Schulz Line = papers co-authored together Julia C. Schulz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201860
2 202045
3 201840
4 202239
5 201135
6 201134
7 202031
8 201129
9 200827
10 201225
11 202121
12 201920
13 201719
14 201217
15 202015
16 202115
17 201214
18 20209
19 20219
20 20216

About Julia C. Schulz

Julia C. Schulz is a scholar working on Hematology, Immunology, Virology, Biochemistry and Biophysics, having authored 29 papers that have together received 530 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (17 papers), Hematopoietic Stem Cell Transplantation (6 papers), Pluripotent Stem Cells Research (4 papers), T-cell and B-cell Immunology (2 papers), 3D Printing in Biomedical Research (2 papers), Blood transfusion and management (1 paper), Cancer Cells and Metastasis (1 paper) and HIV Research and Treatment (1 paper). The work is most often cited by research in Hematology (327 citations), Genetics (37 citations), Biochemistry (23 citations), Immunology (34 citations) and Atmospheric Science (24 citations). Julia C. Schulz has collaborated with scholars based in Germany, Austria and Belgium. Frequent co-authors include Heiko Zimmermann, Madlen Jentzsch, Dietger W. Niederwieser, Sebastian Schwind, Juliane Grimm, Marius Bill, Uwe Platzbecker, Georg‐Nikolaus Franke, Vladan Vučinić and Dominic Brauer. Their work appears in journals such as Bone Marrow Transplantation, Cryobiology, Blood, HemaSphere and American Journal 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.

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