David Webster

2.5k total citations · 1 hit paper
21 papers, 1.3k citations indexed

About

David Webster is a scholar working on Immunology, Epidemiology and Orthodontics. According to data from OpenAlex, David Webster has authored 21 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 5 papers in Epidemiology and 4 papers in Orthodontics. Recurrent topics in David Webster's work include Immunodeficiency and Autoimmune Disorders (7 papers), Immune Cell Function and Interaction (4 papers) and Dental materials and restorations (4 papers). David Webster is often cited by papers focused on Immunodeficiency and Autoimmune Disorders (7 papers), Immune Cell Function and Interaction (4 papers) and Dental materials and restorations (4 papers). David Webster collaborates with scholars based in United Kingdom, Australia and United States. David Webster's co-authors include Lennart Hammarström, Helen Chapel, Bodo Grimbacher, Claire Fieschi, Mary Lucas, Janne Björkander, Mohammad Abedi, Martin Lee, Vojtěch Thon and Nicole J. Horwood and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and The Journal of Immunology.

In The Last Decade

David Webster

21 papers receiving 1.2k citations

Hit Papers

Common variable immunodeficiency disorders: division into... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Webster United Kingdom 14 1.0k 333 247 210 160 21 1.3k
Vassilios Lougaris Italy 23 1.3k 1.3× 404 1.2× 224 0.9× 241 1.1× 250 1.6× 92 1.8k
CE van der Schoot Netherlands 12 617 0.6× 189 0.6× 92 0.4× 144 0.7× 85 0.5× 23 1.2k
D Barge United Kingdom 18 510 0.5× 146 0.4× 126 0.5× 110 0.5× 171 1.1× 28 822
Hideki Amuro Japan 16 1.1k 1.1× 96 0.3× 150 0.6× 114 0.5× 94 0.6× 41 1.7k
Ellen G. van Lochem Netherlands 16 490 0.5× 207 0.6× 65 0.3× 153 0.7× 222 1.4× 27 1.1k
Efrem Eren United Kingdom 12 613 0.6× 122 0.4× 69 0.3× 131 0.6× 110 0.7× 26 908
Osamu Saiki Japan 21 788 0.8× 95 0.3× 113 0.5× 98 0.5× 154 1.0× 52 1.4k
K-H Meyer zum Büschenfelde Germany 14 399 0.4× 204 0.6× 142 0.6× 57 0.3× 523 3.3× 19 1.4k
Hamoud Al‐Mousa Saudi Arabia 17 662 0.6× 253 0.8× 121 0.5× 65 0.3× 150 0.9× 56 896
Manfred Hönig Germany 15 980 0.9× 266 0.8× 65 0.3× 74 0.4× 140 0.9× 29 1.3k

Countries citing papers authored by David Webster

Since Specialization
Citations

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

Fields of papers citing papers by David Webster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Webster

This figure shows the co-authorship network connecting the top 25 collaborators of David Webster. A scholar is included among the top collaborators of David Webster based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Webster. David Webster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pettengell, Ruth, et al.. (2016). Enhanced formation of giant cells in common variable immunodeficiency: Relation to granulomatous disease. Clinical Immunology. 175. 1–9. 8 indexed citations
2.
Danks, Lynett, Sarita Workman, David Webster, & Nicole J. Horwood. (2010). Elevated cytokine production restores bone resorption by human Btk-deficient osteoclasts. Journal of Bone and Mineral Research. 26(1). 182–192. 32 indexed citations
3.
Salzer, Ulrich, Jens Thiel, Cristina Woellner, et al.. (2008). Screening of functional and positional candidate genes in families with common variable immunodeficiency. BMC Immunology. 9(1). 3–3. 27 indexed citations
4.
Chapel, Helen, Mary Lucas, Martin Lee, et al.. (2008). Common variable immunodeficiency disorders: division into distinct clinical phenotypes. Blood. 112(2). 277–286. 586 indexed citations breakdown →
5.
Horwood, Nicole J., Theresa H. Page, John McDaid, et al.. (2006). Bruton’s Tyrosine Kinase Is Required for TLR2 and TLR4-Induced TNF, but Not IL-6, Production. The Journal of Immunology. 176(6). 3635–3641. 179 indexed citations
6.
Conacher, Margaret, Robin E. Callard, Karen A. McAulay, et al.. (2005). Epstein-Barr Virus Can Establish Infection in the Absence of a Classical Memory B-Cell Population. Journal of Virology. 79(17). 11128–11134. 17 indexed citations
7.
Aghamohammadi, Asghar, Nima Parvaneh, Masoud Movahedi, et al.. (2005). Lymphoma of mucosa-associated lymphoid tissue in common variable immunodeficiency. Leukemia & lymphoma. 47(2). 343–346. 47 indexed citations
8.
Bayry, Jagadeesh, Olivier Hermine, David Webster, Yves Lévy, & Srini V. Kaveri. (2005). Common variable immunodeficiency: the immune system in chaos. Trends in Molecular Medicine. 11(8). 370–376. 55 indexed citations
10.
Horwood, Nicole J., Tara Mahon, John McDaid, et al.. (2003). Bruton's Tyrosine Kinase Is Required For Lipopolysaccharide-induced Tumor Necrosis Factor α Production. The Journal of Experimental Medicine. 197(12). 1603–1611. 131 indexed citations
11.
Webster, David. (2000). The potential use of anti-enteroviral drugs in the immunocompromised. Current Opinion in Infectious Diseases. 13(6). 625–629. 5 indexed citations
12.
Vořechovský, Igor, David J. Scott, M R Haeney, & David Webster. (1993). Chromosomal radiosensitivity in common variable immune deficiency. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 290(2). 255–264. 50 indexed citations
13.
Smales, Roger J., David Webster, & P. Leppard. (1992). Predictions of restoration deterioration. Journal of Dentistry. 20(4). 215–220. 15 indexed citations
14.
Smales, Roger J., David Webster, & P. Leppard. (1991). Survival predictions of amalgam restorations. Journal of Dentistry. 19(5). 272–277. 16 indexed citations
15.
Smales, Roger J., David Webster, & P. Leppard. (1991). Survival predictions of four types of dental restorative materials. Journal of Dentistry. 19(5). 278–282. 13 indexed citations
16.
Smales, Roger J., et al.. (1991). Prediction of amalgam restoration longevity. Journal of Dentistry. 19(1). 18–23. 14 indexed citations
17.
Webster, David & Roger J. Smales. (1991). Large database management in clinical dental research. Australian Dental Journal. 36(5). 397–400. 1 indexed citations
18.
Spickett, G, Robert Beattie, J. Farrant, et al.. (1989). Assessment of Responses of Normal Human B Lymphocytes to Different Isolates of Human Immunodeficiency Virus: Role of Normal Donor and of Cell Line Used to Prepare Viral Isolate. AIDS Research and Human Retroviruses. 5(3). 355–366. 10 indexed citations
19.
Daum, Wayne J., et al.. (1983). Healing of Canine Femoral Osteotomies. Clinical Orthopaedics and Related Research. 180(180). 291–300. 1 indexed citations
20.
Webster, David, et al.. (1982). Immature B cells in fetal development and immunodeficiency: Studies of IgM, IgG, IgA and IgD production in vitro using epstein‐Barr virus activation. European Journal of Immunology. 12(7). 540–546. 40 indexed citations

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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