Peter T. Daniel

9.8k citations
135 papers · 8.2k indexed · h-index 53
  • Oncology top 0.5%
    • Cancer-related Molecular Pathways 34
    • CAR-T cell therapy research 9
  • Immunology top 1%
    • Immunotherapy and Immune Responses 12
    • Immune Cell Function and Interaction 11
    • Cell death mechanisms and regulation 67
    • RNA Interference and Gene Delivery 14
    • Mitochondrial Function and Pathology 9
    • NF-κB Signaling Pathways 8

Peter T. Daniel

132 papers receiving 8.0k citations

Peers

Peter T. Daniel
Comparison fields: 5 of 137
  • Oncology 2.8k
  • Immunology 1.8k
  • Molecular Biology 5.2k
  • Cancer Research 1.0k
  • Pathology and Forensic Medicine 652
Replace Mayumi Ono with:
Mayumi Ono Japan
Elizabeth Yang United States
Fengzhi Li United States
Alexandru Almasan United States
Ingrid Herr Germany
Kristoffer Valerie United States
Didier Decaudin France
Brion W. Murray United States
Frank A.E. Kruyt Netherlands
Henning R. Stennicke Denmark
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Citations per year

Countries citing papers authored by Peter T. Daniel

Since Specialization
Citations

This map shows the geographic impact of Peter T. Daniel'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 Peter T. Daniel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter T. Daniel more than expected).

Fields of papers citing papers by Peter T. Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter T. Daniel. 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 Peter T. Daniel. The network helps show where Peter T. Daniel may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201742
2 201412
3 201134
4 2010162
5 200655
6 200694
7 200563
8 200533
9 200522
10 200516
11 200472
12 200312
13 20023
14 200252
15 200245
16 2001466
17 199731
18 199573
19 199347
20
Die In-Vitro-Verdaulichkeit als Qualitätsmerkmal bei der Sortenbeurteilung von Futtergräsern
19811

About Peter T. Daniel

Peter T. Daniel is a scholar working on Oncology, Immunology and Molecular Biology, having authored 135 papers that have together received 8.2k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (67 papers), Cancer-related Molecular Pathways (34 papers), RNA Interference and Gene Delivery (14 papers), Immunotherapy and Immune Responses (12 papers), Immune Cell Function and Interaction (11 papers), Mitochondrial Function and Pathology (9 papers), CAR-T cell therapy research (9 papers) and NF-κB Signaling Pathways (8 papers). The work is most often cited by research in Oncology (2.8k citations), Immunology (1.8k citations) and Molecular Biology (5.2k citations). Peter T. Daniel has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Bernd Dörken, Klaus Schulze‐Osthoff, Isrid Sturm, Bernhard Gillissen, Thomas Wieder, P H Krammer, Frank Eßmann, Claus Belka, Ralf C. Bargou and Jens Dhein. Their work appears in journals such as Oncogene, International Journal of Cancer, Blood, Journal of Biological Chemistry and BMC Cancer.

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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