John Strehl

1.4k citations
32 papers · 1.1k · h-index 15

Impact in

  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
  • Oncology top 5%
    • Neutropenia and Cancer Infections
    • Pancreatic and Hepatic Oncology Research

Papers in

    • CAR-T cell therapy research 4
    • Neutropenia and Cancer Infections 4
    • Immunotherapy and Immune Responses 10
    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 3

John Strehl

32 papers receiving 1.0k citations

Peers

John Strehl
Comparison fields: 5 of 62
  • Genetics 253
  • Oncology 509
  • Pathology and Forensic Medicine 277
  • Immunology 304
  • Hematology 69
Replace Bruce G. Raphael with:
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Tadashi Motoori Japan
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Citations per field
00.5×9.3×
Bruce G. Raphael · 1×
Citations per year

Countries citing papers authored by John Strehl

Since Specialization
Citations

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

Fields of papers citing papers by John Strehl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005195
2 2005189
3 2003140
4 200681
5 200663
6
High-dose chemotherapy followed by autologous stem cell transplantation as first-line therapy in aggressive non-Hodgkin's lymphoma: a meta-analysis.
200355
7 200643
8
Minimal size MIDGE vectors improve transgene expression in vivo.
200734
9 200333
10
Cytokine-induced killer cells are type II natural killer T cells.
200732
11 200628
12 200627
13 200725
14 200620
15 199916
16 200214
17 200913
18 199912
19 200012
20 20068

About John Strehl

John Strehl is a scholar working on Oncology, Immunology, Pathology and Forensic Medicine, Genetics and Genetics, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (10 papers), Lymphoma Diagnosis and Treatment (8 papers), Chronic Lymphocytic Leukemia Research (6 papers), T-cell and B-cell Immunology (5 papers), CAR-T cell therapy research (4 papers), Neutropenia and Cancer Infections (4 papers), Immune Cell Function and Interaction (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Genetics (253 citations), Oncology (509 citations), Pathology and Forensic Medicine (277 citations), Immunology (304 citations) and Hematology (69 citations). John Strehl has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Marcus Gorschlüter, Ulrich Mey, Carsten Ziske, Axel Glasmacher, Ingo G.H. Schmidt‐Wolf, Tilman Sauerbruch, Ingo Schmidt‐Wolf, Christine Mayr, Michael Schepke and Michael Hallek. Their work appears in journals such as Blood, British Journal of Haematology, Gene Therapy, Pancreas and The Lancet Oncology.

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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