Miriam Schulz

553 citations
7 papers · 209 · h-index 7

Impact in

    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Dermatology top 10%
    • Cutaneous lymphoproliferative disorders research

Papers in

    • Neutropenia and Cancer Infections 3
    • CAR-T cell therapy research 2
    • Hematopoietic Stem Cell Transplantation 3
    • Platelet Disorders and Treatments 1

Miriam Schulz

7 papers receiving 206 citations

Peers

Miriam Schulz
Comparison fields: 5 of 46
  • Hematology 63
  • Dermatology 47
  • Oncology 93
  • Transplantation 7
  • Genetics 27
Replace Sairah Khan with:
Sairah Khan United States
A Caballero Spain
Szabolcs Benedek Hungary
Takuya Kawasaki Japan
Allison Winter United States
Akimasa Saito Japan
Melody Mendenhall United States
Madelaine Hahn Germany
D. Kottler France
Rodica Olteanu Romania
Miriam Schulz relative to Sairah Khan United States Sairah Khan's profile →
Citations per field
00.5×1.5×2.1×
Sairah Khan · 1×
Citations per year

Countries citing papers authored by Miriam Schulz

Since Specialization
Citations

This map shows the geographic impact of Miriam 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 Miriam Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miriam Schulz more than expected).

Fields of papers citing papers by Miriam Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Miriam 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 Miriam Schulz Line = papers co-authored together Miriam Schulz links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 201463
2 200249
3 201334
4 201627
5 201319
6 201511
7 20156

About Miriam Schulz

Miriam Schulz is a scholar working on Oncology, Hematology, Immunology, Surgery and Molecular Biology, having authored 7 papers that have together received 209 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (3 papers), Neutropenia and Cancer Infections (3 papers), CAR-T cell therapy research (2 papers), Pancreatic function and diabetes (1 paper), Blood disorders and treatments (1 paper), Complement system in diseases (1 paper), Platelet Disorders and Treatments (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Hematology (63 citations), Dermatology (47 citations), Oncology (93 citations), Transplantation (7 citations) and Genetics (27 citations). Miriam Schulz has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Halvard Bönig, Christina Schwanstecher, Mathias Schwanstecher, Erhard Seifried, Heike Bialleck, Gesine Bug, Beate Luxembourg, Frederick Klauschen, Ioannis Anagnostopoulos and Wolfgang Hartschuh. Their work appears in journals such as Transfusion, Current Opinion in Hematology, Diabetes, PLoS ONE and Oncotarget.

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.

Explore authors with similar magnitude of impact