Jonathan T. Sims

1.0k total citations
29 papers, 741 citations indexed

About

Jonathan T. Sims is a scholar working on Dermatology, Hematology and Molecular Biology. According to data from OpenAlex, Jonathan T. Sims has authored 29 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Dermatology, 7 papers in Hematology and 6 papers in Molecular Biology. Recurrent topics in Jonathan T. Sims's work include Dermatology and Skin Diseases (7 papers), Chronic Myeloid Leukemia Treatments (6 papers) and Asthma and respiratory diseases (5 papers). Jonathan T. Sims is often cited by papers focused on Dermatology and Skin Diseases (7 papers), Chronic Myeloid Leukemia Treatments (6 papers) and Asthma and respiratory diseases (5 papers). Jonathan T. Sims collaborates with scholars based in United States, Japan and Italy. Jonathan T. Sims's co-authors include Rina Plattner, Divyamani Srinivasan, Sourik S. Ganguly, Jason A. Carlyon, Sarah Engle, Matthew J. Troese, Shaojing Ye, Bernice Huang, Dori L. Borjesson and Richard E. Higgs and has published in prestigious journals such as PLoS ONE, Cancer Research and Oncogene.

In The Last Decade

Jonathan T. Sims

28 papers receiving 735 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan T. Sims United States 15 263 137 133 118 106 29 741
Katherine Bao United States 9 325 1.2× 71 0.5× 115 0.9× 41 0.3× 61 0.6× 13 921
Sophie Allart France 18 312 1.2× 54 0.4× 195 1.5× 104 0.9× 21 0.2× 31 1.0k
Michael N. Hedrick United States 13 183 0.7× 101 0.7× 192 1.4× 49 0.4× 177 1.7× 18 1.0k
E. Ruuth France 15 276 1.0× 69 0.5× 77 0.6× 64 0.5× 30 0.3× 32 899
Akira Shiraishi Japan 16 364 1.4× 79 0.6× 263 2.0× 88 0.7× 46 0.4× 38 1.0k
Tim Bourne United Kingdom 15 274 1.0× 73 0.5× 149 1.1× 105 0.9× 37 0.3× 24 1.4k
Brad Harten United States 9 264 1.0× 100 0.7× 94 0.7× 44 0.4× 111 1.0× 10 895
S Hutchison United Kingdom 10 522 2.0× 72 0.5× 254 1.9× 89 0.8× 16 0.2× 17 1.0k
Sandra Balkow Germany 21 250 1.0× 54 0.4× 163 1.2× 62 0.5× 74 0.7× 29 1.3k
Konstantin Neumann Germany 13 300 1.1× 131 1.0× 63 0.5× 20 0.2× 32 0.3× 21 824

Countries citing papers authored by Jonathan T. Sims

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan T. Sims

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan T. Sims

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan T. Sims. A scholar is included among the top collaborators of Jonathan T. Sims 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 Jonathan T. Sims. Jonathan T. Sims 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.
Sims, Jonathan T., et al.. (2025). RIPK1 signaling pathways: implications for autoimmune and neuroinflammatory diseases. Frontiers in Immunology. 16. 1642593–1642593.
2.
Chau, Minh, et al.. (2025). 23Na-MRI for Breast Cancer Diagnosis and Treatment Monitoring: A Scoping Review. Bioengineering. 12(2). 158–158. 1 indexed citations
3.
Krishnan, Venkatesh, Stuart Keller, Christine Chew, et al.. (2025). Serum biomarkers associated with baricitinib response in patients with juvenile idiopathic arthritis: a post-hoc analysis of the phase 3 JUVE-BASIS trial. The Lancet Rheumatology. 7(11). e799–e807. 1 indexed citations
4.
5.
Seminario‐Vidal, Lucia, et al.. (2023). Cytokines and Epidermal Lipid Abnormalities in Atopic Dermatitis: A Systematic Review. Cells. 12(24). 2793–2793. 24 indexed citations
6.
Ju, Teresa, Leigh Nattkemper, Sarah Engle, et al.. (2023). Serum Interleukin-13 and Caspase 8 are Elevated in Prurigo Nodularis. Acta Dermato Venereologica. 103. adv00861–adv00861. 8 indexed citations
7.
Parthasarathy, Varsha, Karen Cravero, Junwen Deng, et al.. (2023). The blood proteomic signature of prurigo nodularis reveals distinct inflammatory and neuropathic endotypes: A cluster analysis. Journal of the American Academy of Dermatology. 88(5). 1101–1109. 11 indexed citations
8.
Gauthier, Sébastien, Adam L. Boxer, D. S. Knopman, et al.. (2022). Therapeutic Targets for Alzheimer's Disease: Amyloid Vs. Non-Amyloid. Where Does Consensus Lie Today? An CTAD Task Force Report. The Journal of Prevention of Alzheimer s Disease. 9(2). 231–235. 8 indexed citations
9.
Dörner, Thomas, Yoshiya Tanaka, Ernst R. Dow, et al.. (2022). Mechanism of action of baricitinib and identification of biomarkers and key immune pathways in patients with active systemic lupus erythematosus. Annals of the Rheumatic Diseases. 81(9). 1267–1272. 32 indexed citations
10.
Sims, Jonathan T., Richard E. Higgs, Sarah Engle, et al.. (2021). Insights into adult atopic dermatitis heterogeneity derived from circulating biomarker profiling in patients with moderate‐to‐severe disease. Experimental Dermatology. 30(11). 1650–1661. 29 indexed citations
11.
Sims, Jonathan T., Venkatesh Krishnan, Sarah Engle, et al.. (2020). Characterization of the cytokine storm reflects hyperinflammatory endothelial dysfunction in COVID-19. Journal of Allergy and Clinical Immunology. 147(1). 107–111. 107 indexed citations
12.
13.
Ganguly, Sourik S., Jonathan T. Sims, Divyamani Srinivasan, et al.. (2011). c-Abl and Arg are activated in human primary melanomas, promote melanoma cell invasion via distinct pathways, and drive metastatic progression. Oncogene. 31(14). 1804–1816. 56 indexed citations
14.
Zhao, Huajun, Fu Ou‐Yang, I‐Fen Chen, et al.. (2010). Enhanced Resistance to Tamoxifen by the c-ABL Proto-oncogene in Breast Cancer. Neoplasia. 12(3). 214–IN3. 31 indexed citations
15.
Huang, Bernice, Matthew J. Troese, Dale Howe, et al.. (2010). Anaplasma phagocytophilum APH_0032 is expressed late during infection and localizes to the pathogen-occupied vacuolar membrane. Microbial Pathogenesis. 49(5). 273–284. 44 indexed citations
16.
Sims, Jonathan T., et al.. (2009). STI571 sensitizes breast cancer cells to 5-fluorouracil, cisplatin and camptothecin in a cell type-specific manner. Biochemical Pharmacology. 78(3). 249–260. 22 indexed citations
17.
Clem, Amy, Jonathan T. Sims, Sucheta Telang, John W. Eaton, & Jason Chesney. (2007). Virus detection and identification using random multiplex (RT)-PCR with 3'-locked random primers. Virology Journal. 4(1). 65–65. 28 indexed citations
18.
Srinivasan, Divyamani, Jonathan T. Sims, & Rina Plattner. (2007). Aggressive breast cancer cells are dependent on activated Abl kinases for proliferation, anchorage-independent growth and survival. Oncogene. 27(8). 1095–1105. 96 indexed citations
19.
20.
Malik, Uzma, et al.. (2004). Randomized double-blind placebo-controlled trial of balsalazide in the prevention of acute radiation enteritis as a consequence of pelvic radiotherapy. International Journal of Radiation Oncology*Biology*Physics. 60(1). S253–S254. 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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