Peter D. Pioli

668 citations
22 papers · 482 · h-index 10

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research

Papers in

    • T-cell and B-cell Immunology 13
    • Immune Cell Function and Interaction 11
    • Immunotherapy and Immune Responses 4
    • interferon and immune responses 2
    • Immune cells in cancer 2
    • DNA Repair Mechanisms 1

Peter D. Pioli

20 papers receiving 481 citations

Peers

Peter D. Pioli
Comparison fields: 5 of 64
  • Immunology 227
  • Hematology 96
  • Aging 9
  • Genetics 32
  • Biological Psychiatry 7
Replace Ryuji Iida with:
Ryuji Iida United States
Kristin Fritsch Switzerland
Giulia Di Lullo Italy
Michelle Ratliff United States
Guosu Wang United Kingdom
Charlotte Hellmich United Kingdom
L Bonsi Italy
Yoon-A Kang United States
René Scholtysik Germany
Gitit Shahaf Israel
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Citations per field
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Citations per year

Countries citing papers authored by Peter D. Pioli

Since Specialization
Citations

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

Fields of papers citing papers by Peter D. Pioli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019101
2 201963
3 201960
4 201159
5 201952
6 201427
7 201623
8 201320
9 201217
10 201413
11 20158
12 20127
13 20087
14 20226
15 20166
16 20236
17 20233
18 20182
19 20231
20 20211

About Peter D. Pioli

Peter D. Pioli is a scholar working on Immunology, Molecular Biology, Oncology, Hematology and Neurology, having authored 22 papers that have together received 482 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (13 papers), Immune Cell Function and Interaction (11 papers), Immunotherapy and Immune Responses (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), interferon and immune responses (2 papers), Immune cells in cancer (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Immunology (227 citations), Hematology (96 citations), Aging (9 citations), Genetics (32 citations) and Biological Psychiatry (7 citations). Peter D. Pioli has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Encarnacion Montecino‐Rodriguez, Kenneth Dorshkind, David Casero, Sherie L. Morrison, John H. Weis, Janis J. Weis, Hans-Reimer Rodewald, Thomas Höfer, Ying Kong and Yuanjie Hu. Their work appears in journals such as iScience, The Journal of Immunology, Frontiers in Immunology, Nature Communications and Immunity.

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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