Kai Rejeski

3.4k total citations · 2 hit papers
64 papers, 947 citations indexed

About

Kai Rejeski is a scholar working on Oncology, Electrical and Electronic Engineering and Immunology. According to data from OpenAlex, Kai Rejeski has authored 64 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Oncology, 13 papers in Electrical and Electronic Engineering and 11 papers in Immunology. Recurrent topics in Kai Rejeski's work include CAR-T cell therapy research (53 papers), Integrated Circuits and Semiconductor Failure Analysis (12 papers) and Lymphoma Diagnosis and Treatment (9 papers). Kai Rejeski is often cited by papers focused on CAR-T cell therapy research (53 papers), Integrated Circuits and Semiconductor Failure Analysis (12 papers) and Lymphoma Diagnosis and Treatment (9 papers). Kai Rejeski collaborates with scholars based in Germany, United States and France. Kai Rejeski's co-authors include Marion Subklewe, Michael D. Jain, Michael von Bergwelt‐Baildon, David M. Cordas dos Santos, Miguel‐Angel Perales, Veit Bücklein, Viktoria Blumenberg, Frederick L. Locke, Roni Shouval and Sebastian Theurich and has published in prestigious journals such as Nature Medicine, Blood and Oncogene.

In The Last Decade

Kai Rejeski

58 papers receiving 944 citations

Hit Papers

A systematic review and meta-analysis of nonrelapse morta... 2024 2026 2025 2024 2024 25 50 75

Peers

Kai Rejeski
Comparison fields: 5 of 55
  • Oncology 753
  • Molecular Biology 279
  • Genetics 160
  • Hematology 156
  • Electrical and Electronic Engineering 149
Replace Sanfang Tu with:
Sanfang Tu China
Kathleen Gallagher United States
Simon Thomas United Kingdom
Corinne Summers United States
Connie Lee Batlevi United States
Hannah Brakke United States
Margot J. Pont United States
Tatsunori Goto Japan
Armen Mardiros United States
Mireya Paulina Velasquez United States
Sanfang Tu China View profile →
Citations per field, relative to Kai Rejeski
Kai Rejeski · 1×
Citations per year, relative to Kai Rejeski
Kai Rejeski · 1×

Countries citing papers authored by Kai Rejeski

Since Specialization
Citations

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

Fields of papers citing papers by Kai Rejeski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Rejeski

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Rejeski. A scholar is included among the top collaborators of Kai Rejeski 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 Kai Rejeski. Kai Rejeski 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
# Work Indexed citations
1 2
2 0
3 6
4 1
5 0
6 2
7 0
8 29
9
A systematic review and meta-analysis of nonrelapse mortality after CAR T cell therapy breakdown →
99
10 6
11 1
12 1
13 17
14 20
15 55
16 24
17 0
18 6
19 7
20 2

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