William G. Dunn

553 total citations
14 papers, 202 citations indexed

About

William G. Dunn is a scholar working on Genetics, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, William G. Dunn has authored 14 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Epidemiology. Recurrent topics in William G. Dunn's work include Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Acute Myeloid Leukemia Research (3 papers) and Cancer Genomics and Diagnostics (3 papers). William G. Dunn is often cited by papers focused on Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Acute Myeloid Leukemia Research (3 papers) and Cancer Genomics and Diagnostics (3 papers). William G. Dunn collaborates with scholars based in United Kingdom, United States and Spain. William G. Dunn's co-authors include James Walters, Jesse Dawson, Terence J. Quinn, George S. Vassiliou, Muxin Gu, Irina Mohorianu, Pedro M. Quirós, Clea Bárcena, Ludovica Marando and Margarete A. Fabre and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Nature Genetics.

In The Last Decade

William G. Dunn

13 papers receiving 199 citations

Peers

William G. Dunn
Joan Von Feldt United States
Lúcia Costa Portugal
Kelly Axsom United States
Maud A.W. Hermans Netherlands
Jenny Griffith United States
Joan Von Feldt United States
William G. Dunn
Citations per year, relative to William G. Dunn William G. Dunn (= 1×) peers Joan Von Feldt

Countries citing papers authored by William G. Dunn

Since Specialization
Citations

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

Fields of papers citing papers by William G. Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William G. Dunn. 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 William G. Dunn. The network helps show where William G. Dunn may publish in the future.

Co-authorship network of co-authors of William G. Dunn

This figure shows the co-authorship network connecting the top 25 collaborators of William G. Dunn. A scholar is included among the top collaborators of William G. Dunn 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 William G. Dunn. William G. Dunn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Dunn, William G., et al.. (2024). Prevalence and Significance of Clonal Monocytosis of Undetermined Significance (CMUS) Amongst 431,531 United Kingdom Biobank Participants. Blood. 144(Supplement 1). 4048–4048. 1 indexed citations
2.
Dunn, William G., et al.. (2024). Clonal hematopoiesis and hematological malignancy. Journal of Clinical Investigation. 134(19). 6 indexed citations
3.
Gu, Muxin, William G. Dunn, Ludovica Marando, et al.. (2023). Prevalence and significance of DDX41 gene variants in the general population. Blood. 142(14). 1185–1192. 24 indexed citations
4.
Almeida, José Guilherme de, Emma Gudgin, Martin Besser, et al.. (2023). Computational analysis of peripheral blood smears detects disease-associated cytomorphologies. Nature Communications. 14(1). 4378–4378. 6 indexed citations
5.
Gu, Muxin, William G. Dunn, Ludovica Marando, et al.. (2023). Multiparameter prediction of myeloid neoplasia risk. Nature Genetics. 55(9). 1523–1530. 46 indexed citations
6.
Dunn, William G., Muxin Gu, Ludovica Marando, et al.. (2023). Machine Learning for Identification of High-Risk Clonal Haematopoiesis Using Blood Count Data. Blood. 142(Supplement 1). 1318–1318.
7.
Martinelli, Anthony W., William G. Dunn, Andrew F. Stewart, et al.. (2022). A Case of Thrombotic Microangiopathy and Acute Sarcoidosis. CHEST Journal. 162(5). e245–e248. 2 indexed citations
9.
Dunn, William G., et al.. (2016). In patients with a tumour invading the phrenic nerve does prophylactic diaphragm plication improve postoperative lung function?: Table 1:. Interactive Cardiovascular and Thoracic Surgery. 23(3). 454–458. 3 indexed citations
10.
Quinn, Terence J., et al.. (2016). Multimodal Interventions to Enhance Adherence to Secondary Preventive Medication after Stroke: A Systematic Review and Meta‐Analyses. Cardiovascular Therapeutics. 34(2). 85–93. 11 indexed citations
11.
Pritchard, Gretchen Harms, Aisling O’Hara Hall, David A. Christian, et al.. (2015). Diverse Roles for T-bet in the Effector Responses Required for Resistance to Infection. The Journal of Immunology. 194(3). 1131–1140. 35 indexed citations
12.
Dunn, William G. & Matthew R. Walters. (2014). A randomised crossover trial of the acute effects of a deep-fried Mars bar or porridge on the cerebral vasculature. Scottish Medical Journal. 59(4). 182–187. 1 indexed citations
13.
Witzig, Thomas E., Christine A. White, A.J. Grillo-López, et al.. (1998). Radioimmunotherapy of relapsed or refractory non-Hodgkin's lymphoma (NHL) with IDEC-Y2B8. International Journal of Radiation Oncology*Biology*Physics. 42(1). 130–130. 2 indexed citations
14.
Rowe, Frank A., M. Camilleri, Lee A. Forstrom, et al.. (1995). A pilot study of splenic and whole body retention of autologous radiolabeled leukocytes in the assessment of severity in inflammatory colitis.. PubMed. 90(10). 1771–5. 1 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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