Sascha Dietrich

10.4k citations
158 papers · 4.5k indexed · 2 hit papers · h-index 32
Topics
Lymphoma Diagnosis and Treatment (43 papers)Chronic Lymphocytic Leukemia Research (37 papers)CAR-T cell therapy research (23 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood

In The Last Decade

Sascha Dietrich

140 papers receiving 4.4k citations

Hit Papers

Multi‐Omics Factor Analysis—a framework for unsupervised ...201820262020202320182022200400600

Peers

Sascha Dietrich
Comparison fields: 5 of 152
  • Molecular Biology 2.0k
  • Oncology 1.2k
  • Pathology and Forensic Medicine 784
  • Genetics 617
  • Immunology 614
Replace Kenichi Sawada with:
Kenichi Sawada Japan
Reinhard von Wasielewski Germany
Raymond B. Nagle United States
Gustavo Baretton Germany
Jian Zhang China
Joseph Locker United States
David L. Jaye United States
Andrew P. Weng Canada
Barbara A. Zehnbauer United States
Sascha Dietrich relative to Kenichi Sawada Japan Kenichi Sawada's profile →
Citations per field
00.5×4.7×
Kenichi Sawada · 1×
Citations per year

Countries citing papers authored by Sascha Dietrich

Since Specialization
Citations

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

Fields of papers citing papers by Sascha Dietrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sascha Dietrich

This figure shows the co-authorship network connecting the top 25 collaborators of Sascha Dietrich. A scholar is included among the top collaborators of Sascha Dietrich based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sascha Dietrich. Sascha Dietrich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 1
5 4
6 0
7 7
8 7
9 6
10 7
11 4
12 10
13 30
14 29
15 6
16 22
17
Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data setsbreakdown →
664
18 27
19 25
20
ErP-Directive: Implementation - transposition - verification
1

About Sascha Dietrich

Sascha Dietrich is a scholar working on Genetics, Hematology and Pathology and Forensic Medicine, having authored 158 papers that have together received 4.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (43 papers), Chronic Lymphocytic Leukemia Research (37 papers) and CAR-T cell therapy research (23 papers). The work is most often cited by research in Genetics (617 citations), Pathology and Forensic Medicine (784 citations) and Oncology (1.2k citations). Sascha Dietrich has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Thorsten Zenz, Wolfgang Huber, Peter Dreger, Anthony D. Ho, Heiko Liesegang, Britta Velten, Florian Buettner, Ricard Argelaguet, John C. Marioni and Damien Arnol. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

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

Rankless by CCL
2026