Scott M. Laster

2.4k total citations · 1 hit paper
45 papers, 2.0k citations indexed

About

Scott M. Laster is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Scott M. Laster has authored 45 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 17 papers in Immunology and 8 papers in Genetics. Recurrent topics in Scott M. Laster's work include Virus-based gene therapy research (8 papers), Herbal Medicine Research Studies (6 papers) and Cell death mechanisms and regulation (6 papers). Scott M. Laster is often cited by papers focused on Virus-based gene therapy research (8 papers), Herbal Medicine Research Studies (6 papers) and Cell death mechanisms and regulation (6 papers). Scott M. Laster collaborates with scholars based in United States, Austria and United Kingdom. Scott M. Laster's co-authors include L R Gooding, John G. Wood, Christina Voelkel‐Johnson, John M. MacKenzie, Jack R. Lancaster, Nadja B. Cech, William S.M. Wold, Jeanine M. Davis, Leslie A. Wolf and Mary B. Tompkins and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Scott M. Laster

44 papers receiving 2.0k citations

Hit Papers

Tumor necrosis factor can induce both apoptic and necroti... 1988 2026 2000 2013 1988 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott M. Laster United States 20 1.1k 620 245 216 213 45 2.0k
Sumio Hayakawa Japan 22 1.1k 1.0× 855 1.4× 196 0.8× 271 1.3× 534 2.5× 44 2.7k
Tae Woo Kim South Korea 31 1.4k 1.4× 937 1.5× 308 1.3× 217 1.0× 365 1.7× 88 2.8k
Raymond H. See Canada 20 1.0k 1.0× 302 0.5× 216 0.9× 164 0.8× 252 1.2× 29 1.8k
Kaio Kitazato Japan 25 793 0.8× 336 0.5× 166 0.7× 99 0.5× 138 0.6× 46 1.7k
Larry W. Tjoelker United States 28 1.2k 1.1× 961 1.6× 239 1.0× 280 1.3× 161 0.8× 40 3.0k
Pei‐Wen Hsiao Taiwan 31 1.8k 1.7× 526 0.8× 410 1.7× 394 1.8× 396 1.9× 78 3.4k
Ling‐Jun Ho Taiwan 30 749 0.7× 644 1.0× 141 0.6× 155 0.7× 218 1.0× 68 2.4k
Hua Sun China 26 1.0k 1.0× 312 0.5× 116 0.5× 213 1.0× 193 0.9× 81 2.0k
Ning Yang China 23 628 0.6× 491 0.8× 154 0.6× 174 0.8× 274 1.3× 71 1.6k
Gan Zhao China 24 936 0.9× 1.1k 1.8× 92 0.4× 348 1.6× 136 0.6× 43 2.3k

Countries citing papers authored by Scott M. Laster

Since Specialization
Citations

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

Fields of papers citing papers by Scott M. Laster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott M. Laster. 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 Scott M. Laster. The network helps show where Scott M. Laster may publish in the future.

Co-authorship network of co-authors of Scott M. Laster

This figure shows the co-authorship network connecting the top 25 collaborators of Scott M. Laster. A scholar is included among the top collaborators of Scott M. Laster 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 Scott M. Laster. Scott M. Laster 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.
Meyerholz, David K., Evan S. Dellon, Lizette M. Cortes, et al.. (2025). Comparison of histochemical methods for the analysis of eosinophils and mast cells using a porcine model of eosinophilic esophagitis. Frontiers in Veterinary Science. 12. 1540995–1540995.
2.
Cortes, Lizette M., Celine Chen, Jack Odle, et al.. (2022). Immunologic and pathologic characterization of a novel swine biomedical research model for eosinophilic esophagitis. SHILAP Revista de lepidopterología. 3. 1029184–1029184. 4 indexed citations
3.
Mottin, Melina, Lindsay K. Caesar, G.D. Noske, et al.. (2022). Chalcones from Angelica keiskei (ashitaba) inhibit key Zika virus replication proteins. Bioorganic Chemistry. 120. 105649–105649. 16 indexed citations
4.
Plundrich, Nathalie, Luke B. Borst, Tobias Käser, et al.. (2019). Oesophageal eosinophilia accompanies food allergy to hen egg white protein in young pigs. Clinical & Experimental Allergy. 50(1). 95–104. 11 indexed citations
5.
Mackey, Emily, Daniel A. Todd, Adam J. Moeser, et al.. (2017). Mast cell degranulation and calcium influx are inhibited by an Echinacea purpurea extract and the alkylamide dodeca-2E,4E-dienoic acid isobutylamide. Journal of Ethnopharmacology. 212. 166–174. 32 indexed citations
6.
7.
Todd, Daniel A., et al.. (2015). Cytokine-Suppressive Activity of a Hydroxylated Alkylamide from Echinacea purpurea. 2(1). e25–e27. 5 indexed citations
9.
Pollara, Justin, Scott M. Laster, & Ian T.D. Petty. (2010). Inhibition of poxvirus growth by Terameprocol, a methylated derivative of nordihydroguaiaretic acid. Antiviral Research. 88(3). 287–295. 19 indexed citations
10.
Laster, Scott M., et al.. (2007). Adenovirus Type 5 Exerts Multiple Effects on the Expression and Activity of Cytosolic Phospholipase A2, Cyclooxygenase-2, and Prostaglandin Synthesis. The Journal of Immunology. 179(6). 4170–4179. 6 indexed citations
11.
Laster, Scott M., et al.. (2006). Evidence against Calcium as a Mediator of Mitochondrial Dysfunction during Apoptosis Induced by Arachidonic Acid and Other Free Fatty Acids. The Journal of Immunology. 177(9). 6398–6404. 17 indexed citations
14.
Voelkel‐Johnson, Christina, et al.. (1996). Susceptibility to TNF in the presence of inhibitors of transcription or translation is dependent on the activity of cytosolic phospholipase A2 in human melanoma tumor cells. The Journal of Immunology. 156(1). 201–207. 68 indexed citations
15.
Laster, Scott M. & John M. MacKenzie. (1996). Bleb formation and F-actin distribution during mitosis and tumor necrosis factor-induced apoptosis. Microscopy Research and Technique. 34(3). 272–280. 83 indexed citations
16.
Voelkel‐Johnson, Christina, et al.. (1992). The adenovirus e3 region 14.7 kDa protein, heat and sodium arsenite inhibit the TNF-induced release of arachidonic acid. Biochemical and Biophysical Research Communications. 188(1). 177–183. 37 indexed citations
17.
Duerksen-Hughes, Penelope J., et al.. (1992). Both tumor necrosis factor and nitric oxide participate in lysis of simian virus 40-transformed cells by activated macrophages. The Journal of Immunology. 149(6). 2114–2122. 53 indexed citations
18.
Boss, Jeremy M., Scott M. Laster, & L R Gooding. (1991). Sensitivity to tumour necrosis factor-mediated cytolysis is unrelated to manganous superoxide dismutase messenger RNA levels among transformed mouse fibroblasts.. PubMed. 73(3). 309–15. 12 indexed citations
19.
Gooding, L R, Scott M. Laster, K Wehrly, et al.. (1989). Evidence against expression of an endogenous murine leukemia virus causing cellular resistance to lysis by activated macrophages.. The Journal of Immunology. 142(1). 257–262. 1 indexed citations
20.
Laster, Scott M., John G. Wood, & L R Gooding. (1988). Tumor necrosis factor can induce both apoptic and necrotic forms of cell lysis.. The Journal of Immunology. 141(8). 2629–2634. 773 indexed citations breakdown →

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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