David Woods

2.5k citations
42 papers · 1.6k indexed · h-index 17

Impact in

  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • Peptidase Inhibition and Analysis
    • CAR-T cell therapy research
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • Cancer Immunotherapy and Biomarkers 14
    • CAR-T cell therapy research 12
    • Peptidase Inhibition and Analysis 6
    • Immunotherapy and Immune Responses 9
    • Immune Cell Function and Interaction 4

David Woods

41 papers receiving 1.6k citations

Peers

David Woods
Comparison fields: 5 of 80
  • Oncology 877
  • Immunology 587
  • Molecular Biology 890
  • Virology 49
  • Cancer Research 94
Replace Flavian D. Brown with:
Flavian D. Brown United States
Jessica Dal Col Italy
Takuya Ohtani United States
Giulia Escobar United States
Marcus Lettau Germany
Kwun Wah Wen United States
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Konstantin Knoblich United States
Muhammad Baghdadi Japan
Roland Geisberger Austria
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Citations per field
00.5×1.7×
Flavian D. Brown · 1×
Citations per year

Countries citing papers authored by David Woods

Since Specialization
Citations

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

Fields of papers citing papers by David Woods

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20239
2 20232
3 202213
4 202034
5 2020166
6 202065
7 202015
8 201938
9 201966
10 201850
11 2017117
12 20169
13 20161
14 20161
15 2015348
16 201496
17 2014113
18 201381
19 20119
20 201035

About David Woods

David Woods is a scholar working on Oncology, Immunology, Molecular Biology, Hematology and Cancer Research, having authored 42 papers that have together received 1.6k indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (22 papers), Cancer Immunotherapy and Biomarkers (14 papers), CAR-T cell therapy research (12 papers), Protein Degradation and Inhibitors (11 papers), Immunotherapy and Immune Responses (9 papers), Peptidase Inhibition and Analysis (6 papers), Epigenetics and DNA Methylation (5 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Oncology (877 citations), Immunology (587 citations), Molecular Biology (890 citations), Virology (49 citations) and Cancer Research (94 citations). David Woods has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Jeffrey S. Weber, Eduardo M. Sotomayor, Alejandro Villagra, Andressa L. Sodré, Amod A. Sarnaik, Andressa S. Laino, Melinda Vassallo, Karrune Woan, Fengdong Cheng and Megan Wind‐Rotolo. Their work appears in journals such as Cancer Immunology Research, Cancer Research, Blood, The Journal of Immunology and Journal of Clinical Oncology.

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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