David Lee

1.3k total citations
38 papers, 903 citations indexed

About

David Lee is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, David Lee has authored 38 papers receiving a total of 903 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 13 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in David Lee's work include Genetically Modified Organisms Research (9 papers), CRISPR and Genetic Engineering (6 papers) and Plant Stress Responses and Tolerance (4 papers). David Lee is often cited by papers focused on Genetically Modified Organisms Research (9 papers), CRISPR and Genetic Engineering (6 papers) and Plant Stress Responses and Tolerance (4 papers). David Lee collaborates with scholars based in United Kingdom, United States and Italy. David Lee's co-authors include Julian I. Schroeder, Alice P. Chen, Om Parkash Dhankher, Richard B. Meagher, Laura Carreira, Rebecca S. Balish, Yujing Li, Silvia Doveri, Sadaf Zahedi and Jonathan Friedman and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

David Lee

37 papers receiving 859 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 Lee United Kingdom 17 495 332 118 105 91 38 903
Binbin Wu China 11 331 0.7× 361 1.1× 30 0.3× 16 0.2× 18 0.2× 36 624
Yuanhu Xuan China 25 1.6k 3.1× 685 2.1× 20 0.2× 147 1.4× 5 0.1× 115 2.3k
Zheng Meng China 20 1.2k 2.3× 824 2.5× 41 0.3× 184 1.8× 20 0.2× 42 1.4k
Adeel Riaz China 15 633 1.3× 454 1.4× 39 0.3× 76 0.7× 19 0.2× 36 954
Fan Liang China 21 501 1.0× 1.0k 3.1× 39 0.3× 253 2.4× 7 0.1× 42 1.6k
Muhammad Mahmood Ahmed Pakistan 15 335 0.7× 168 0.5× 11 0.1× 21 0.2× 37 0.4× 31 648
Fan Nie China 15 363 0.7× 411 1.2× 19 0.2× 50 0.5× 5 0.1× 51 906
Zhiyang Dong China 21 132 0.3× 838 2.5× 39 0.3× 88 0.8× 29 0.3× 64 1.3k
Han‐Woo Kim South Korea 18 303 0.6× 455 1.4× 19 0.2× 18 0.2× 19 0.2× 73 869
Fernando Martínez‐Morales Mexico 18 294 0.6× 454 1.4× 53 0.4× 77 0.7× 15 0.2× 33 964

Countries citing papers authored by David Lee

Since Specialization
Citations

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

Fields of papers citing papers by David Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Lee

This figure shows the co-authorship network connecting the top 25 collaborators of David Lee. A scholar is included among the top collaborators of David Lee 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 Lee. David Lee 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.
Lee, David, et al.. (2025). A Scoping Literature Review of Pancreatic Panniculitis. Cureus. 17(1). e78000–e78000. 1 indexed citations
2.
Lee, David, Shayan Waseh, Kiran Motaparthi, & Sylvia Hsu. (2023). Rowell Syndrome in a Middle-Aged Woman: A Case Report. Cureus. 15(5). e39631–e39631. 2 indexed citations
3.
Lee, David, David J. Everest, William Cooley, & Mark A. Chambers. (2023). Investigation of nasal epithelial cells as a surrogate for bronchial epithelial cells in the research of equine asthma. PLoS ONE. 18(11). e0293956–e0293956. 4 indexed citations
4.
Lee, David, et al.. (2022). Development and evaluation of a bovine lung-on-chip (bLOC) to study bovine respiratory diseases. PubMed. 1(4-5). 333–346. 2 indexed citations
5.
Lee, David, Michael I. Lethem, & Alison B. Lansley. (2021). A comparison of three mucus-secreting airway cell lines (Calu-3, SPOC1 and UNCN3T) for use as biopharmaceutical models of the nose and lung. European Journal of Pharmaceutics and Biopharmaceutics. 167. 159–174. 19 indexed citations
6.
Lee, David, et al.. (2020). Real-Time Quantitative and Ion-Metal Indicator LAMP-Based Assays for Rapid Detection of Sclerotinia sclerotiorum. Plant Disease. 104(5). 1514–1526. 9 indexed citations
7.
Lee, David, Graham R. Stewart, & Mark A. Chambers. (2020). Modelling early events in Mycobacterium bovis infection using a co-culture model of the bovine alveolus. Scientific Reports. 10(1). 18495–18495. 5 indexed citations
8.
Lum, Fok‐Moon, David Lee, Jeslin J. L. Tan, et al.. (2018). Zika Virus Infection Preferentially Counterbalances Human Peripheral Monocyte and/or NK Cell Activity. mSphere. 3(2). 30 indexed citations
9.
Lee, David, et al.. (2018). Isolation and characterisation of alveolar type II pneumocytes from adult bovine lung. Scientific Reports. 8(1). 11927–11927. 20 indexed citations
10.
Marais, D. J. Des & David Lee. (2017). Into the fourth dimension. Publisher. 1 indexed citations
11.
Maringer, Kevin, Kate J. Heesom, Jun Fan, et al.. (2017). Proteomics informed by transcriptomics for characterising active transposable elements and genome annotation in Aedes aegypti. BMC Genomics. 18(1). 101–101. 39 indexed citations
12.
Campbell, Lesley G., et al.. (2016). An ecological approach to measuring the evolutionary consequences of gene flow from crops to wild or weedy relatives. Applications in Plant Sciences. 4(3). 10 indexed citations
13.
Malecová, Barbora, Valentina S. Caputo, David Lee, James J. Hsieh, & Thomas Oelgeschläger. (2015). Taspase1 processing alters TFIIA cofactor properties in the regulation of TFIID. Transcription. 6(2). 21–32. 7 indexed citations
14.
Jones, Huw, Carol Norris, David Smith, et al.. (2012). Evaluation of the use of high-density SNP genotyping to implement UPOV Model 2 for DUS testing in barley. Theoretical and Applied Genetics. 126(4). 901–911. 27 indexed citations
15.
Lee, David, Ramesh Nair, & Alice P. Chen. (2009). Regulatory hurdles for transgenic biofuel crops. Biofuels Bioproducts and Biorefining. 3(4). 468–480.
16.
Lee, David, et al.. (2006). Evaluating genetic containment strategies for transgenic plants. Trends in biotechnology. 24(3). 109–114. 48 indexed citations
17.
Fermín, Gustavo, Paula Tennant, C. Gonsalves, David Lee, & Dennis Gonsalves. (2004). Comparative Development and Impact of Transgenic Papayas in Hawaii, Jamaica, and Venezuela. Humana Press eBooks. 286. 399–430. 20 indexed citations
18.
Li, Yujing, Om Parkash Dhankher, Laura Carreira, et al.. (2004). Overexpression of Phytochelatin Synthase in Arabidopsis Leads to Enhanced Arsenic Tolerance and Cadmium Hypersensitivity. Plant and Cell Physiology. 45(12). 1787–1797. 189 indexed citations
19.
Taylor, Emily, et al.. (2004). Gypsy-like retrotransposons in Pyrenophora: an abundant and informative class of molecular markers. Genome. 47(3). 519–525. 25 indexed citations
20.
Ellis, Noel, et al.. (1990). Methylated and undermethylated rDNA repeats are interspersed at random in two higher plant species. Plant Molecular Biology. 14(1). 73–80. 29 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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