Ian Toma

952 total citations
24 papers, 615 citations indexed

About

Ian Toma is a scholar working on Molecular Biology, Pharmacology and Immunology. According to data from OpenAlex, Ian Toma has authored 24 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Pharmacology and 5 papers in Immunology. Recurrent topics in Ian Toma's work include Inflammatory mediators and NSAID effects (4 papers), Genomics and Phylogenetic Studies (3 papers) and Genomics and Rare Diseases (2 papers). Ian Toma is often cited by papers focused on Inflammatory mediators and NSAID effects (4 papers), Genomics and Phylogenetic Studies (3 papers) and Genomics and Rare Diseases (2 papers). Ian Toma collaborates with scholars based in United States, Russia and Portugal. Ian Toma's co-authors include Timothy A. McCaffrey, Chien-an A. Hu, Eduardo Castro‐Nallar, Marc Siegel, Keith A. Crandall, W. Evan Johnson, Eric P. Hoffman, Marcos Pérez‐Losada, Sarah K. Hilton and Gary L. Simon and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Nature Biotechnology.

In The Last Decade

Ian Toma

22 papers receiving 607 citations

Peers

Ian Toma
Yuanyuan Han China
Xiaoling Deng China
Ting Song China
David Stirling United Kingdom
Fei Su China
Xiaojun Li China
El Mostafa Mtairag Morocco
Andrea McDowell South Korea
Gang Ma China
Yuanyuan Han China
Ian Toma
Citations per year, relative to Ian Toma Ian Toma (= 1×) peers Yuanyuan Han

Countries citing papers authored by Ian Toma

Since Specialization
Citations

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

Fields of papers citing papers by Ian Toma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Toma

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Toma. A scholar is included among the top collaborators of Ian Toma 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 Ian Toma. Ian Toma 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.
2.
McCaffrey, Timothy A., Ian Toma, Zhaoqing Yang, et al.. (2023). RNAseq profiling of blood from patients with coronary artery disease: Signature of a T cell imbalance. SHILAP Revista de lepidopterología. 4. 100033–100033. 5 indexed citations
3.
Lafleur, John, et al.. (2022). RNA Sequencing in COVID-19 patients identifies neutrophil activation biomarkers as a promising diagnostic platform for infections. PLoS ONE. 17(1). e0261679–e0261679. 25 indexed citations
4.
Laurent, Georges St., Ian Toma, Bernd Seilheimer, et al.. (2021). RNAseq analysis of treatment-dependent signaling changes during inflammation in a mouse cutaneous wound healing model. BMC Genomics. 22(1). 854–854. 9 indexed citations
5.
Park, Daniel E., et al.. (2020). COVID-19 infection among emergency department healthcare providers in a large tertiary academic medical center following the peak of the pandemic. The American Journal of Emergency Medicine. 40. 27–31. 5 indexed citations
6.
Mangul, Serghei, Lana S. Martin, Ben Langmead, et al.. (2019). How bioinformatics and open data can boost basic science in countries and universities with limited resources. Nature Biotechnology. 37(3). 324–326. 19 indexed citations
7.
Laurent, Georges St., Ian Toma, Michael Tackett, et al.. (2018). AB0080 Differential effects of tr14 versus diclofenac on pro-resolving lipid mediators revealed by rnaseq. Annals of the Rheumatic Diseases. 77. 1237–1238.
8.
Laurent, Georges St., Bernd Seilheimer, Michael Tackett, et al.. (2017). Deep Sequencing Transcriptome Analysis of Murine Wound Healing: Effects of a Multicomponent, Multitarget Natural Product Therapy-Tr14. Frontiers in Molecular Biosciences. 4. 57–57. 29 indexed citations
9.
Belluomini, Lorenzo, Franco Bonetti, Benedetta Urbini, et al.. (2017). Efficacy of anti-EGFR antibodies combined with chemotherapy for elderly patients with RAS wild-type metastatic colorectal cancer: a systematic review and metanalysis. Annals of Oncology. 28. vi8–vi8. 1 indexed citations
10.
Hilton, Sarah K., Eduardo Castro‐Nallar, Marcos Pérez‐Losada, et al.. (2016). Metataxonomic and Metagenomic Approaches vs. Culture-Based Techniques for Clinical Pathology. Frontiers in Microbiology. 7. 484–484. 84 indexed citations
11.
Chawla, Lakhmir S., Ian Toma, Danielle Davison, et al.. (2016). Acute appendicitis: transcript profiling of blood identifies promising biomarkers and potential underlying processes. BMC Medical Genomics. 9(1). 40–40. 16 indexed citations
12.
Karabekian, Zaruhi, Hao Ding, Gulnaz Stybayeva, et al.. (2015). HLA Class I Depleted hESC as a Source of Hypoimmunogenic Cells for Tissue Engineering Applications. Tissue Engineering Part A. 21(19-20). 2559–2571. 24 indexed citations
13.
Byrd, Allyson L., Joseph Perez-Rogers, Solaiappan Manimaran, et al.. (2014). Clinical PathoScope: rapid alignment and filtration for accurate pathogen identification in clinical samples using unassembled sequencing data. BMC Bioinformatics. 15(1). 262–262. 41 indexed citations
14.
Toma, Ian, Marc Siegel, John Keiser, et al.. (2014). Single-Molecule Long-Read 16S Sequencing To Characterize the Lung Microbiome from Mechanically Ventilated Patients with Suspected Pneumonia. Journal of Clinical Microbiology. 52(11). 3913–3921. 58 indexed citations
15.
McCaffrey, Timothy A., Jannet F. Lewis, Richard J. Katz, et al.. (2013). Genomic Profiling Reveals the Potential Role of TCL1A and MDR1 Deficiency in Chemotherapy-Induced Cardiotoxicity. International Journal of Biological Sciences. 9(4). 350–360. 24 indexed citations
16.
Katz, Richard J., Ian Toma, Ranyang Li, et al.. (2013). Aspirin insensitive thrombophilia: Transcript profiling of blood identifies platelet abnormalities and HLA restriction. Gene. 520(2). 131–138. 7 indexed citations
17.
Zhaorigetu, Siqin, et al.. (2011). Apolipoprotein L6, Induced in Atherosclerotic Lesions, Promotes Apoptosis and Blocks Beclin 1-dependent Autophagy in Atherosclerotic Cells. Journal of Biological Chemistry. 286(31). 27389–27398. 57 indexed citations
18.
Riz, Irene, et al.. (2011). Apoptotic Role of IKK in T-ALL Therapeutic Response. Molecular Cancer Research. 9(8). 979–984. 9 indexed citations
19.
Toma, Ian & Timothy A. McCaffrey. (2011). Transforming growth factor-β and atherosclerosis: interwoven atherogenic and atheroprotective aspects. Cell and Tissue Research. 347(1). 155–175. 143 indexed citations
20.
Laurent, Georges St., et al.. (2009). Cardiovascular Inflammation and Lesion Cell Apoptosis. Arteriosclerosis Thrombosis and Vascular Biology. 29(8). 1213–1219. 43 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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