Peter T. Daniel

9.9k citations
142 papers · 8.7k · h-index 54

Impact in

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

Papers in

    • Cancer-related Molecular Pathways 29
    • CAR-T cell therapy research 9
    • Immunotherapy and Immune Responses 12
    • Immune Cell Function and Interaction 11

Peter T. Daniel

139 papers receiving 8.4k citations

Peers

Peter T. Daniel
Comparison fields: 5 of 142
  • Oncology 2.6k
  • Immunology 1.8k
  • Molecular Biology 5.1k
  • Cancer Research 933
  • Genetics 379
Replace Mayumi Ono with:
Mayumi Ono Japan
W. Nicol Keith United Kingdom
Fengzhi Li United States
Elizabeth Yang United States
Didier Decaudin France
Ingrid Herr Germany
Brion William Murray United States
Henning R. Stennicke Denmark
Frank A.E. Kruyt Netherlands
Lisa Bouchier‐Hayes United States
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Citations per field
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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-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 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001489
2 2000388
3 2007289
4 1994288
5 1992253
6 2001226
7 1995225
8 1994214
9 1996180
10 2010179
11 2002176
12 2003166
13 1994164
14 1999152
15 2005151
16 2004141
17 2003139
18 2006128
19 2003120
20 1995120

About Peter T. Daniel

Peter T. Daniel is a scholar working on Oncology, Immunology, Molecular Biology, Genetics and Cancer Research, having authored 142 papers that have together received 8.7k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (68 papers), Cancer-related Molecular Pathways (29 papers), RNA Interference and Gene Delivery (14 papers), Immunotherapy and Immune Responses (12 papers), Immune Cell Function and Interaction (11 papers), CAR-T cell therapy research (9 papers), Mitochondrial Function and Pathology (8 papers) and Chronic Lymphocytic Leukemia Research (8 papers). The work is most often cited by research in Oncology (2.6k citations), Immunology (1.8k citations), Molecular Biology (5.1k citations), Cancer Research (933 citations) and Genetics (379 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 F. Gillissen, Thomas Wieder, Peter H. Krammer, Ralf Christian Bargou, Frank Eßmann, 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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