Simon Gordonov

2.9k total citations · 1 hit paper
16 papers, 2.2k citations indexed

About

Simon Gordonov is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Simon Gordonov has authored 16 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cell Biology. Recurrent topics in Simon Gordonov's work include Gene Regulatory Network Analysis (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers) and Bioinformatics and Genomic Networks (2 papers). Simon Gordonov is often cited by papers focused on Gene Regulatory Network Analysis (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers) and Bioinformatics and Genomic Networks (2 papers). Simon Gordonov collaborates with scholars based in United States, Russia and Netherlands. Simon Gordonov's co-authors include Avi Ma’ayan, Wei‐Jen Chua, Emmanuel L. Gautier, Jennifer Miller, Shannon J. Turley, Miriam Mérad, Melanie Greter, Claudia Jakubzick, Amin R. Mazloom and Andrew Chow and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Immunology.

In The Last Decade

Simon Gordonov

16 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Gene-expression profiles and transcriptional regulatory pathways that underlie the identity and diversity of mouse tissue macrophages

2012 1.5k citations Emmanuel L. Gautier, Tal Shay et al. Nature Immunology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Simon Gordonov United States	11	1.2k	691	372	345	212	16	2.2k
Matthias Mehling Switzerland	25	841 0.7×	977 1.4×	203 0.5×	352 1.0×	151 0.7×	47	2.7k
Jami Mandelin Finland	18	872 0.8×	798 1.2×	495 1.3×	488 1.4×	130 0.6×	30	2.8k
Giovanna Peruzzi Italy	30	844 0.7×	1.5k 2.2×	189 0.5×	343 1.0×	135 0.6×	80	3.0k
Yujing Li China	24	485 0.4×	927 1.3×	352 0.9×	239 0.7×	67 0.3×	69	2.3k
Martin Etzrodt Switzerland	17	2.1k 1.9×	1.1k 1.6×	364 1.0×	313 0.9×	87 0.4×	28	3.8k
Andreas Bosio Germany	33	528 0.5×	2.0k 2.9×	182 0.5×	242 0.7×	265 1.3×	93	3.4k
Kristoffer Riecken Germany	27	563 0.5×	995 1.4×	600 1.6×	145 0.4×	70 0.3×	85	2.4k
Sonja Vermeren United Kingdom	17	421 0.4×	605 0.9×	96 0.3×	181 0.5×	155 0.7×	28	1.5k
Keiko Miwa Japan	24	1.9k 1.7×	1.3k 1.9×	133 0.4×	180 0.5×	97 0.5×	46	3.2k
Olga Barreiro Spain	35	1.3k 1.1×	1.5k 2.2×	184 0.5×	104 0.3×	598 2.8×	48	3.6k

Countries citing papers authored by Simon Gordonov

Since Specialization

Citations

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

Fields of papers citing papers by Simon Gordonov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Gordonov

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Gordonov. A scholar is included among the top collaborators of Simon Gordonov 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 Simon Gordonov. Simon Gordonov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Gordonov, Simon, et al.. (2020). A case of primary gastric melanoma. Malignant tumours. 10(1). 35–40. 1 indexed citations

Guo, Syuan-Ming, Rémi Veneziano, Simon Gordonov, et al.. (2019). Multiplexed and high-throughput neuronal fluorescence imaging with diffusible probes. Nature Communications. 10(1). 4377–4377. 59 indexed citations

Atta, Lyla, et al.. (2018). Systems Modeling Identifies Divergent Receptor Tyrosine Kinase Reprogramming to MAPK Pathway Inhibition. Cellular and Molecular Bioengineering. 11(6). 451–469. 8 indexed citations

Veneziano, Rémi, Syuan-Ming Guo, Li Li, et al.. (2018). Multiplexed Imaging of Neuronal Synapses Using Nucleic Acid Probe Exchange. Protocol Exchange. 1 indexed citations

Yaffe, Michael B., et al.. (2017). Phosphoproteomic Analysis of DNA Damage Checkpoint Kinase Signaling Reveals Unexpected Links to Actin Cytoskeletal Remodeling, Cell Migration, and Chemoresistance. The FASEB Journal. 31(S1). 1 indexed citations

Zweemer, Annelien J.M., et al.. (2017). Apoptotic Bodies Elicit Gas6-Mediated Migration of AXL-Expressing Tumor Cells. Molecular Cancer Research. 15(12). 1656–1666. 29 indexed citations

Guo, Syuan-Ming, Rémi Veneziano, Russell E. McConnell, et al.. (2015). Quantitative Multiplexed Super-Resolution Neuronal Synapse Imaging using DNA-Paint. Biophysical Journal. 108(2). 477a–477a. 1 indexed citations

Gordonov, Simon, Mun Kyung Hwang, Alan Wells, et al.. (2015). Time series modeling of live-cell shape dynamics for image-based phenotypic profiling. Integrative Biology. 8(1). 73–90. 50 indexed citations

Duan, Qiaonan, et al.. (2013). Metasignatures Identify Two Major Subtypes of Breast Cancer. CPT Pharmacometrics & Systems Pharmacology. 2(3). 1–10. 11 indexed citations

10.

Gautier, Emmanuel L., Tal Shay, Jennifer Miller, et al.. (2012). Gene-expression profiles and transcriptional regulatory pathways that underlie the identity and diversity of mouse tissue macrophages. Nature Immunology. 13(11). 1118–1128. 1492 indexed citations breakdown →

11.

McNamara, Laura E., Terje Sjöström, Karl Burgess, et al.. (2011). Skeletal stem cell physiology on functionally distinct titania nanotopographies. Biomaterials. 32(30). 7403–7410. 108 indexed citations

12.

Chen, Edward Y., Huilei Xu, Simon Gordonov, et al.. (2011). Expression2Kinases: mRNA profiling linked to multiple upstream regulatory layers. Bioinformatics. 28(1). 105–111. 128 indexed citations

13.

Liu, Er, Simon Gordonov, Matthew D. Treiser, & Prabhas V. Moghe. (2010). Parsing the early cytoskeletal and nuclear organizational cues that demarcate stem cell lineages. Cell Cycle. 9(11). 2108–2117. 24 indexed citations

14.

Johnson, Patrick A., Hiral Patel, Matthew D. Treiser, et al.. (2009). Interplay of anionic charge, poly(ethylene glycol), and iodinated tyrosine incorporation within tyrosine‐derived polycarbonates: Effects on vascular smooth muscle cell adhesion, proliferation, and motility. Journal of Biomedical Materials Research Part A. 93A(2). 505–514. 15 indexed citations

15.

Treiser, Matthew D., Eric Yang, Simon Gordonov, et al.. (2009). Cytoskeleton-based forecasting of stem cell lineage fates. Proceedings of the National Academy of Sciences. 107(2). 610–615. 232 indexed citations

16.

Andelman, Tamar, et al.. (2009). Synthesis and Cytotoxicity of Y2O3 Nanoparticles of Various Morphologies. Nanoscale Research Letters. 5(2). 263–273. 78 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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