David Redmond

6.2k citations
59 papers · 2.1k · 1 hit paper · h-index 21

Impact in

Papers in

    • Epigenetics and DNA Methylation 7
    • Renal and related cancers 4
    • Immune cells in cancer 6
    • Immune Cell Function and Interaction 5

David Redmond

56 papers receiving 2.0k citations

David Redmond's Hit Papers

Blockade of the AHR restricts a Treg-macrophage suppressive axis induced by L-Kynurenine 2020 · 364 citations
3640+2+4Years since publication100200300

Peers

David Redmond
Comparison fields: 5 of 116
  • Biological Psychiatry 103
  • Immunology 584
  • Oncology 454
  • Cancer Research 215
  • Neurology 123
Replace Yossi Ovadya with:
Yossi Ovadya Israel
Grace Ku United States
Cynthia J. Sieben United States
Jian Zhong China
Marie Brevet France
Arancha R. Gortázar Spain
Denise P. Muñoz United States
Bhagelu R. Achyut United States
Nathalie Franchimont United States
Nataša Anastasov Germany
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Citations per field
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Citations per year

Countries citing papers authored by David Redmond

Since Specialization
Citations

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

Fields of papers citing papers by David Redmond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Blockade of the AHR restricts a Treg-macrophage suppressive axis induced by L-Kynurenine
Hit paper breakdown →
2020364
2 2017160
3 2021155
4 2017137
5 2016100
6 201598
7 202296
8 201585
9 201984
10 201465
11 201562
12 202159
13 201856
14 196454
15 201951
16 202245
17 201444
18 202141
19 202327
20 202227

About David Redmond

David Redmond is a scholar working on Molecular Biology, Immunology, Oncology, Surgery and Pathology and Forensic Medicine, having authored 59 papers that have together received 2.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (8 papers), Epigenetics and DNA Methylation (7 papers), Immune cells in cancer (6 papers), Zebrafish Biomedical Research Applications (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), Pancreatic function and diabetes (5 papers), Immune Cell Function and Interaction (5 papers) and Renal and related cancers (4 papers). The work is most often cited by research in Biological Psychiatry (103 citations), Immunology (584 citations), Oncology (454 citations), Cancer Research (215 citations) and Neurology (123 citations). David Redmond has collaborated with scholars based in United States, Mexico and Israel. Frequent co-authors include Olivier Elemento, Shahin Rafii, Ari Melnick, Sean Houghton, Raphaël Lis, Asaf Poran, Wayne Tam, Jenny Xiang, José Gabriel Barcia Durán and Tyler M. Lu. Their work appears in journals such as Nature Communications, Blood, Cell Reports, Journal of Visualized Experiments and Genome 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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