Peter T. Daniel

9.9k citations
135 papers · 8.2k · h-index 53

Impact in

  • Oncology top 0.5%
    • Cancer-related Molecular Pathways
    • CAR-T cell therapy research
  • Immunology top 1%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • Cell death mechanisms and regulation 66
    • RNA Interference and Gene Delivery 14
    • Mitochondrial Function and Pathology 9
    • Cancer-related Molecular Pathways 26
    • CAR-T cell therapy research 9

Peter T. Daniel

132 papers receiving 8.0k citations

Peers

Peter T. Daniel
Comparison fields: 5 of 136
  • Oncology 2.4k
  • Immunology 1.7k
  • Molecular Biology 4.8k
  • Cancer Research 903
  • Genetics 358
Replace Elizabeth Yang with:
Elizabeth Yang United States
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Mayumi Ono Japan
Ingrid Herr Germany
Fengzhi Li United States
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Peter T. Daniel relative to Elizabeth Yang United States Elizabeth Yang's profile →
Citations per field
00.5×3.5×
Elizabeth Yang · 1×
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-authors

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

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001474
2 2000359
3 1994273
4 2007272
5 1992246
6 2001218
7 1995215
8 1994201
9 2002171
10 1996168
11 2010167
12 1994159
13 2003158
14 1999144
15 2005140
16 2004139
17 2003132
18 1995116
19 2011114
20 2003109

About Peter T. Daniel

Peter T. Daniel is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Pathology and Forensic Medicine, having authored 135 papers that have together received 8.2k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (66 papers), Cancer-related Molecular Pathways (26 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 (7 papers). The work is most often cited by research in Oncology (2.4k citations), Immunology (1.7k citations), Molecular Biology (4.8k citations), Cancer Research (903 citations) and Genetics (358 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, Ralf C. Bargou, Claus Belka and Jens Dhein. Their work appears in journals such as Oncogene, International Journal of Cancer, Blood, BMC Cancer and Journal of Biological Chemistry.

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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