Peter Chockley

1.1k citations
18 papers · 840 · h-index 13

Impact in

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

Papers in

    • Immune Cell Function and Interaction 10
    • Immune cells in cancer 4
    • Galectins and Cancer Biology 3
    • CAR-T cell therapy research 6
    • Cancer Cells and Metastasis 3

Peter Chockley

18 papers receiving 829 citations

Peers

Peter Chockley
Comparison fields: 5 of 94
  • Immunology 416
  • Hematology 132
  • Oncology 302
  • Cancer Research 144
  • Structural Biology 11
Replace Anja Krippner‐Heidenreich with:
Anja Krippner‐Heidenreich United Kingdom
Elisabetta Vulpis Italy
Maya C. André Germany
Chandra Sekhar Boddupalli United States
Roberta E. Burden United Kingdom
Wenjin Wang China
Kieng B. Vang United States
Mahboubeh Yazdanifar United States
R. Xiao China
Jianhong Chu China
Peter Chockley relative to Anja Krippner‐Heidenreich United Kingdom Anja Krippner‐Heidenreich's profile →
Citations per field
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Anja Krippner‐Heidenreich · 1×
Citations per year

Countries citing papers authored by Peter Chockley

Since Specialization
Citations

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

Fields of papers citing papers by Peter Chockley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2010140
2 2011119
3 2012115
4 2018108
5 201667
6 201461
7 202347
8 202243
9 201132
10 201630
11 202319
12 201518
13 202414
14 202411
15 202111
16 20222
17 20182
18 20141

About Peter Chockley

Peter Chockley is a scholar working on Immunology, Oncology, Molecular Biology, Hematology and Genetics, having authored 18 papers that have together received 840 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), CAR-T cell therapy research (6 papers), Immune cells in cancer (4 papers), Galectins and Cancer Biology (3 papers), Virus-based gene therapy research (3 papers), Cancer Cells and Metastasis (3 papers), Nanowire Synthesis and Applications (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Immunology (416 citations), Hematology (132 citations), Oncology (302 citations), Cancer Research (144 citations) and Structural Biology (11 citations). Peter Chockley has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Venkateshwar G. Keshamouni, Yaping Sun, Tomomi Toubai, Pavan Reddy, Evelyn Nieves, Chelsea Malter, Isao Tawara, Sachin Kumar Singh, Clemens Grabher and Stephen Gottschalk. Their work appears in journals such as Blood, Clinical Cancer Research, The Journal of Immunology, Neuro-Oncology and Cell Reports Medicine.

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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