John T. Swarthout

1.5k total citations
20 papers, 1.2k citations indexed

About

John T. Swarthout is a scholar working on Molecular Biology, Oncology and Plant Science. According to data from OpenAlex, John T. Swarthout has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Plant Science. Recurrent topics in John T. Swarthout's work include Protein Kinase Regulation and GTPase Signaling (6 papers), Bone Metabolism and Diseases (5 papers) and Bone health and treatments (4 papers). John T. Swarthout is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (6 papers), Bone Metabolism and Diseases (5 papers) and Bone health and treatments (4 papers). John T. Swarthout collaborates with scholars based in United States, Germany and United Kingdom. John T. Swarthout's co-authors include Nicola C. Partridge, Richard C. DʼAlonzo, N. Selvamurugan, Monica Croke, Lynn Farh, Wendy K. Greentree, Maurine E. Linder, Sandra Lobo, Robert J. Deschenes and Darren R. Tyson and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Agricultural and Food Chemistry and Endocrinology.

In The Last Decade

John T. Swarthout

19 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John T. Swarthout United States 13 862 429 145 94 89 20 1.2k
Kee-Ho Lee South Korea 20 855 1.0× 246 0.6× 139 1.0× 116 1.2× 5 0.1× 48 1.4k
Fumihiko Suzuki Japan 17 794 0.9× 115 0.3× 108 0.7× 248 2.6× 8 0.1× 41 1.2k
Raffaella Chiaramonte Italy 25 1.1k 1.2× 401 0.9× 75 0.5× 90 1.0× 13 0.1× 70 1.6k
Carlo Rodolfo Italy 22 861 1.0× 138 0.3× 194 1.3× 73 0.8× 58 0.7× 36 1.6k
Chantal Peeters-Joris Belgium 15 334 0.4× 109 0.3× 65 0.4× 40 0.4× 27 0.3× 20 822
Sung‐Yup Cho South Korea 17 354 0.4× 171 0.4× 66 0.5× 47 0.5× 22 0.2× 56 878
Satoru Sugimoto Japan 15 1.5k 1.8× 285 0.7× 106 0.7× 86 0.9× 19 0.2× 33 2.0k
Pal I. Francz Germany 11 376 0.4× 85 0.2× 82 0.6× 39 0.4× 8 0.1× 13 822
Yang Luo China 16 821 1.0× 111 0.3× 127 0.9× 262 2.8× 8 0.1× 49 1.2k
Songbo Xie China 26 1.1k 1.3× 377 0.9× 255 1.8× 141 1.5× 5 0.1× 67 1.6k

Countries citing papers authored by John T. Swarthout

Since Specialization
Citations

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

Fields of papers citing papers by John T. Swarthout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John T. Swarthout

This figure shows the co-authorship network connecting the top 25 collaborators of John T. Swarthout. A scholar is included among the top collaborators of John T. Swarthout 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 John T. Swarthout. John T. Swarthout 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.
Riter, Leah S., Steven J. Lehotay, & John T. Swarthout. (2025). Insights Powered by Artificial Intelligence: Analyzing the Extent of Method Validation in Pesticide Residue Literature. Journal of Agricultural and Food Chemistry. 73(24). 14776–14782.
2.
Swarthout, John T., et al.. (2024). Exploring the GMO narrative through labeling: strategies, products, and politics. GM crops & food. 15(1). 51–66. 9 indexed citations
3.
Vicini, J.L., et al.. (2021). Residues of glyphosate in food and dietary exposure. Comprehensive Reviews in Food Science and Food Safety. 20(5). 5226–5257. 66 indexed citations
4.
Swarthout, John T., et al.. (2019). Monetizing disinformation in the attention economy: The case of genetically modified organisms (GMOs). European Management Journal. 38(1). 7–18. 33 indexed citations
5.
Vicini, J.L., et al.. (2019). Glyphosate in livestock: feed residues and animal health1. Journal of Animal Science. 97(11). 4509–4518. 33 indexed citations
6.
Coussens, Matthew J., et al.. (2012). Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library. Journal of Visualized Experiments. 1 indexed citations
7.
Coussens, Matthew J., et al.. (2012). Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library. Journal of Visualized Experiments. e3303–e3303. 1 indexed citations
8.
Coussens, Matthew J., et al.. (2011). MISSION LentiPlex Pooled shRNA Library Screening in Mammalian Cells. Journal of Visualized Experiments. 6 indexed citations
9.
Swarthout, John T., Manish Raisinghani, & Xiaoxia Cui. (2011). Zinc Finger Nucleases: A new era for transgenic animals. Annals of Neurosciences. 18(1). 25–8. 18 indexed citations
10.
Coussens, Matthew J., et al.. (2011). MISSION LentiPlex Pooled shRNA Library Screening in Mammalian Cells. Journal of Visualized Experiments. 1 indexed citations
11.
Swarthout, John T., Sandra Lobo, Lynn Farh, et al.. (2005). DHHC9 and GCP16 Constitute a Human Protein Fatty Acyltransferase with Specificity for H- and N-Ras. Journal of Biological Chemistry. 280(35). 31141–31148. 275 indexed citations
12.
Qin, Ling, Ping Qiu, Luquan Wang, et al.. (2003). Gene Expression Profiles and Transcription Factors Involved in Parathyroid Hormone Signaling in Osteoblasts Revealed by Microarray and Bioinformatics. Journal of Biological Chemistry. 278(22). 19723–19731. 141 indexed citations
13.
Swarthout, John T., Richard C. DʼAlonzo, N. Selvamurugan, & Nicola C. Partridge. (2002). Parathyroid hormone-dependent signaling pathways regulating genes in bone cells. Gene. 282(1-2). 1–17. 269 indexed citations
14.
Tyson, Darren R., John T. Swarthout, Stephen C. Jefcoat, & Nicola C. Partridge. (2002). PTH Induction of Transcriptional Activity of the cAMP Response Element-Binding Protein Requires the Serine 129 Site and Glycogen Synthase Kinase-3 Activity, But Not Casein Kinase II Sites. Endocrinology. 143(2). 674–682. 38 indexed citations
15.
Swarthout, John T., Darren R. Tyson, Stephen C. Jefcoat, & Nicola C. Partridge. (2002). Induction of Transcriptional Activity of the Cyclic Adenosine Monophosphate Response Element Binding Protein by Parathyroid Hormone and Epidermal Growth Factor in Osteoblastic Cells. Journal of Bone and Mineral Research. 17(8). 1401–1407. 29 indexed citations
16.
Doggett, Teresa A., John T. Swarthout, Stephen C. Jefcoat, et al.. (2002). Parathyroid Hormone Inhibits c-Jun N-Terminal Kinase Activity in Rat Osteoblastic Cells by a Protein Kinase A-Dependent Pathway. Endocrinology. 143(5). 1880–1888. 22 indexed citations
17.
Swarthout, John T., et al.. (2001). Stimulation of Extracellular Signal-regulated Kinases and Proliferation in Rat Osteoblastic Cells by Parathyroid Hormone Is Protein Kinase C-dependent. Journal of Biological Chemistry. 276(10). 7586–7592. 120 indexed citations
18.
Walling, Hobart W., John T. Swarthout, & Kenneth W. Culver. (2000). Bystander-mediated regression of osteosarcoma via retroviral transfer of the herpes simplex virus thymidine kinase and human interleukin-2 genes. Cancer Gene Therapy. 7(2). 187–196. 4 indexed citations
19.
Swarthout, John T. & Hobart W. Walling. (2000). Lysophosphatidic acid: receptors, signaling and survival. Cellular and Molecular Life Sciences. 57(13). 1978–1985. 50 indexed citations
20.

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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