David T. Lynch

2.0k total citations
85 papers, 1.5k citations indexed

About

David T. Lynch is a scholar working on Catalysis, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, David T. Lynch has authored 85 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Catalysis, 16 papers in Materials Chemistry and 13 papers in Biomedical Engineering. Recurrent topics in David T. Lynch's work include Catalytic Processes in Materials Science (15 papers), Catalysis and Oxidation Reactions (14 papers) and Cancer Genomics and Diagnostics (8 papers). David T. Lynch is often cited by papers focused on Catalytic Processes in Materials Science (15 papers), Catalysis and Oxidation Reactions (14 papers) and Cancer Genomics and Diagnostics (8 papers). David T. Lynch collaborates with scholars based in Canada, United States and Australia. David T. Lynch's co-authors include Sieghard E. Wanke, Therese M. Becker, Paul de Souza, Robin Patel, Kerryl E. Greenwood‐Quaintance, Jayawant N. Mandrekar, Trisha Peel, Brenda L. Dylla, John Hughes and Allen Cheng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Gastroenterology.

In The Last Decade

David T. Lynch

79 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David T. Lynch Canada 23 268 234 215 196 181 85 1.5k
Satoshi Koizumi Japan 25 243 0.9× 283 1.2× 203 0.9× 166 0.8× 196 1.1× 147 1.9k
Yuji Inoue Japan 32 1.2k 4.5× 118 0.5× 138 0.6× 154 0.8× 182 1.0× 151 3.3k
Priyanka Srivastava India 23 377 1.4× 270 1.2× 223 1.0× 101 0.5× 21 0.1× 154 1.5k
Masayuki Kobayashi Japan 28 726 2.7× 217 0.9× 333 1.5× 31 0.2× 335 1.9× 145 2.7k
Xiaonan Zheng China 23 233 0.9× 236 1.0× 108 0.5× 17 0.1× 67 0.4× 64 1.5k
Wenjian Chen China 22 220 0.8× 116 0.5× 81 0.4× 50 0.3× 65 0.4× 98 1.4k
Tarō Hayashi Japan 20 139 0.5× 448 1.9× 106 0.5× 76 0.4× 399 2.2× 100 1.5k
Tomohiro Ishikawa Japan 24 317 1.2× 178 0.8× 126 0.6× 140 0.7× 123 0.7× 149 1.9k
Shengli Zhang China 26 769 2.9× 897 3.8× 122 0.6× 40 0.2× 77 0.4× 189 2.6k
Kazuhiro Yamauchi Japan 20 149 0.6× 391 1.7× 82 0.4× 234 1.2× 407 2.2× 66 1.3k

Countries citing papers authored by David T. Lynch

Since Specialization
Citations

This map shows the geographic impact of David T. Lynch'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 T. Lynch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Lynch more than expected).

Fields of papers citing papers by David T. Lynch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David T. Lynch

This figure shows the co-authorship network connecting the top 25 collaborators of David T. Lynch. A scholar is included among the top collaborators of David T. Lynch 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 T. Lynch. David T. Lynch 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.
Lynch, David T., et al.. (2021). Mantle Cell Lymphoma. StatPearls. 1 indexed citations
2.
Po, Joseph W., Yafeng Ma, Alison W. S. Luk, et al.. (2021). Single-Cell Analysis of BRAFV600E and NRASQ61R Mutation Status in Melanoma Cell Lines as Method Generation for Circulating Melanoma Cells. Methods in molecular biology. 2265. 277–286.
3.
Lynch, David T., et al.. (2021). Lenalidomide-Associated Hemophagocytic Lymphohistiocytosis With Plasma Cell Phagocytosis. Cureus. 13(4). e14409–e14409. 2 indexed citations
4.
Garrett, Celine, Therese M. Becker, David T. Lynch, et al.. (2021). Comparison of neutrophil to lymphocyte ratio and prognostic nutritional index with other clinical and molecular biomarkers for prediction of glioblastoma multiforme outcome. PLoS ONE. 16(6). e0252614–e0252614. 15 indexed citations
5.
Lynch, David T., et al.. (2020). Unexpected aetiology of chronic thrombocytopaenia. Journal of Clinical Pathology. 73(9). 609–609.
6.
Garrett, Celine, David T. Lynch, Daniel Brungs, et al.. (2020). The Role of Liquid Biopsies in Detecting Molecular Tumor Biomarkers in Brain Cancer Patients. Cancers. 12(7). 1831–1831. 33 indexed citations
7.
Lynch, David T., et al.. (2019). Cancer, Burkitt Lymphoma. StatPearls.
8.
Lynch, David T., et al.. (2019). Cancer, ALK Negative Anaplastic Large Cell Lymphoma. StatPearls. 1 indexed citations
9.
Ding, Pei Ni, Therese M. Becker, Victoria Bray, et al.. (2019). The predictive and prognostic significance of liquid biopsy in advanced epidermal growth factor receptor-mutated non-small cell lung cancer: A prospective study. Lung Cancer. 134. 187–193. 33 indexed citations
10.
Brungs, Daniel, David T. Lynch, Alison W. S. Luk, et al.. (2018). Cryopreservation for delayed circulating tumor cell isolation is a valid strategy for prognostic association of circulating tumor cells in gastroesophageal cancer. World Journal of Gastroenterology. 24(7). 810–818. 19 indexed citations
11.
Cleyrat, Cédric, Devon Chabot‐Richards, David T. Lynch, et al.. (2017). Leukemic Transformation of Post-Essential Thrombocythemia Myelofibrosis: A Unique Case Presenting with Double MPL and CALR Mutations. Blood. 130. 4215–4215. 3 indexed citations
12.
Peel, Trisha, Brenda L. Dylla, John Hughes, et al.. (2016). Improved Diagnosis of Prosthetic Joint Infection by Culturing Periprosthetic Tissue Specimens in Blood Culture Bottles. mBio. 7(1). e01776–15. 134 indexed citations
13.
Lynch, David T., et al.. (2015). Uterine Arteriovenous Malformation, Images, and Management. Military Medicine. 180(1). e177–e180. 10 indexed citations
14.
Patel, Robin, Kerryl E. Greenwood‐Quaintance, Larry M. Baddour, et al.. (2015). Usefulness of Sonication of Cardiovascular Implantable Electronic Devices to Enhance Microbial Detection. The American Journal of Cardiology. 115(7). 912–917. 27 indexed citations
15.
Corben, Louise A., David T. Lynch, Massimo Pandolfo, Jörg B. Schulz, & Martin B. Delatycki. (2014). Consensus clinical management guidelines for Friedreich ataxia. Orphanet Journal of Rare Diseases. 9(1). 184–184. 68 indexed citations
16.
Lynch, David T., et al.. (2012). An analysis and report of custodial deaths in Nebraska, USA: Part II. Journal of Forensic and Legal Medicine. 19(8). 465–469. 11 indexed citations
17.
Levenson, Richard M., David T. Lynch, & James Mansfield. (2009). Mice to microspcopy: Fluorescence in vivo and ex vivo imaging of the same animal. BioTechniques. 45. 1 indexed citations
18.
Lynch, David T., et al.. (2009). Erbb2 Suppresses DNA Damage-Induced Checkpoint Activation and UV-Induced Mouse Skin Tumorigenesis. American Journal Of Pathology. 174(6). 2357–2366. 21 indexed citations
19.
Levenson, Richard M., David T. Lynch, Hisataka Kobayashi, Joseph M. Backer, & Marina V. Backer. (2008). Multiplexing with Multispectral Imaging: From Mice to Microscopy. ILAR Journal. 49(1). 78–88. 58 indexed citations
20.
Lynch, David T., et al.. (1982). Chaos in a continuous stirred tank reactor. Mathematical Modelling. 3(2). 103–116. 24 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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