Jeff Davies

1.1k citations
33 papers · 489 · h-index 11

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immunodeficiency and Autoimmune Disorders

Papers in

    • T-cell and B-cell Immunology 16
    • Immune Cell Function and Interaction 13
    • Immunotherapy and Immune Responses 6
    • Immunodeficiency and Autoimmune Disorders 3
    • Hematopoietic Stem Cell Transplantation 22
    • Acute Myeloid Leukemia Research 4
    • Multiple Myeloma Research and Treatments 3

Jeff Davies

32 papers receiving 470 citations

Peers

Jeff Davies
Comparison fields: 5 of 68
  • Hematology 180
  • Immunology 215
  • Transplantation 18
  • Oncology 118
  • Environmental Chemistry 42
Replace Jennifer Jaroscak with:
Jennifer Jaroscak United States
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Bénédikt Jacobs Germany
Katharina M. Brauer Germany
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Citations per field
00.5×8.4×
Jennifer Jaroscak · 1×
Citations per year

Countries citing papers authored by Jeff Davies

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Davies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013109
2 198558
3 200852
4 199442
5 201037
6 200336
7 201427
8 201219
9 201312
10 202111
11 201211
12 202110
13 20038
14 20208
15 20118
16 20187
17 20075
18 20125
19 20215
20 20174

About Jeff Davies

Jeff Davies is a scholar working on Immunology, Hematology, Oncology, Molecular Biology and Epidemiology, having authored 33 papers that have together received 489 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (22 papers), T-cell and B-cell Immunology (16 papers), Immune Cell Function and Interaction (13 papers), CAR-T cell therapy research (6 papers), Immunotherapy and Immune Responses (6 papers), Acute Myeloid Leukemia Research (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers) and Multiple Myeloma Research and Treatments (3 papers). The work is most often cited by research in Hematology (180 citations), Immunology (215 citations), Transplantation (18 citations), Oncology (118 citations) and Environmental Chemistry (42 citations). Jeff Davies has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Lee M. Nadler, Eva C. Guinan, John G. Gribben, Dongin Yuk, Jamie Cavenagh, David Taussig, Lisa Brennan, Samir Agrawal, Heather Oakervee and Christine M. Barbon. Their work appears in journals such as Blood, British Journal of Haematology, Anticancer Research, Journal of Visualized Experiments and Biology of Blood and Marrow Transplantation.

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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