David Waugh

6.8k citations
90 papers · 5.0k · 1 hit paper · h-index 33

Impact in

  • Oncology top 1%
    • Chemokine receptors and signaling
    • Cancer Cells and Metastasis
    • Cytokine Signaling Pathways and Interactions
  • Immunology top 2%
    • Immunotherapy and Immune Responses
    • Immune cells in cancer

Papers in

David Waugh

86 papers receiving 4.9k citations

David Waugh's Hit Papers

The Interleukin-8 Pathway in Cancer 2008 · 1.7k citations
1.7k0+6+12Years since publication50010001.5k

Peers

David Waugh
Comparison fields: 5 of 119
  • Oncology 1.7k
  • Immunology 1.1k
  • Cancer Research 742
  • Immunology and Allergy 212
  • Molecular Biology 1.8k
Replace Tung O. Chan with:
Tung O. Chan United States
Bernd Baumann Germany
Ramesh K. Ganju United States
Xinmin Cao Singapore
Hsin‐Fang Yang‐Yen Taiwan
Xu Tao China
Margaret Favata United States
Paul Shapiro United States
Nicholas Joza France
Stéphane Garcia France
David Waugh relative to Tung O. Chan United States Tung O. Chan's profile →
Citations per field
00.5×2.8×
Tung O. Chan · 1×
Citations per year

Countries citing papers authored by David Waugh

Since Specialization
Citations

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

Fields of papers citing papers by David Waugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Interleukin-8 Pathway in Cancer
Hit paper breakdown →
20081719
2 2004197
3 2005169
4 2007168
5 2008118
6 2013109
7 2006107
8 2016106
9 2000105
10 2008101
11 200798
12 199694
13 200090
14 201590
15 201384
16 200181
17 200879
18 201172
19 201271
20 201469

About David Waugh

David Waugh is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Cellular and Molecular Neuroscience, having authored 90 papers that have together received 5.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (14 papers), Prostate Cancer Treatment and Research (13 papers), Chemokine receptors and signaling (13 papers), Neuropeptides and Animal Physiology (12 papers), Cancer, Lipids, and Metabolism (11 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (9 papers), Apelin-related biomedical research (7 papers) and Neuroscience and Neuropharmacology Research (6 papers). The work is most often cited by research in Oncology (1.7k citations), Immunology (1.1k citations), Cancer Research (742 citations), Immunology and Allergy (212 citations) and Molecular Biology (1.8k citations). David Waugh has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Catherine Wilson, Patrick G. Johnston, Pamela Maxwell, A Hill, Suzanne McFarlane, J. Michael Conlon, Angela Seaton, Dianne M. Perez, Joe M. O’Sullivan and Manuel Salto‐Tellez. Their work appears in journals such as Oncotarget, Clinical Cancer Research, Cancer Research, General and Comparative Endocrinology and Molecular Pharmacology.

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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