Stephan Schulz

1.1k citations
18 papers · 878 · h-index 13

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • T-cell and B-cell Immunology 4
    • Immunotherapy and Immune Responses 3
    • Immune Cell Function and Interaction 2

Stephan Schulz

18 papers receiving 858 citations

Peers

Stephan Schulz
Comparison fields: 5 of 86
  • Hematology 245
  • Immunology 391
  • Oncology 197
  • Environmental Engineering 116
  • Transplantation 13
Replace Sieglinde Angermüller with:
Sieglinde Angermüller Germany
Jiamin Zhang China
Alina I. Marusina United States
Carmen Barnes United States
Shiri Klein Israel
Romain Hamelin Switzerland
Hans G. Drexler Germany
Thomas Halder Germany
Padma-Sheela Jayaraman United Kingdom
K. Okada Japan
Stephan Schulz relative to Sieglinde Angermüller Germany Sieglinde Angermüller's profile →
Citations per field
00.5×4.1×
Sieglinde Angermüller · 1×
Citations per year

Countries citing papers authored by Stephan Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2005273
2 2012128
3 2006109
4 200789
5 201347
6 200840
7 201137
8 200532
9 201427
10 200225
11 201023
12 201215
13 200512
14 20107
15 20137
16 20053
17 20092
18 20122

About Stephan Schulz

Stephan Schulz is a scholar working on Immunology, Molecular Biology, Oncology, Hematology and Genetics, having authored 18 papers that have together received 878 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Immunotherapy and Immune Responses (3 papers), Virus-based gene therapy research (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Immune Cell Function and Interaction (2 papers), CAR-T cell therapy research (2 papers) and Urologic and reproductive health conditions (1 paper). The work is most often cited by research in Hematology (245 citations), Immunology (391 citations), Oncology (197 citations), Environmental Engineering (116 citations) and Transplantation (13 citations). Stephan Schulz has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Christopher H. Contag, Robert S. Negrin, Jeanette Baker, Andreas Beilhack, Enosh M. Baker, Edward I. Herman, Georg F. Beilhack, Yuan Cao, Michael Schloter and Marion Engel. Their work appears in journals such as Blood, Clinical Cancer Research, Journal of Soils and Sediments, Hepatology and The Journal of Pathology.

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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