Jonathan Sagotsky

430 total citations
9 papers, 298 citations indexed

About

Jonathan Sagotsky is a scholar working on Molecular Biology, Modeling and Simulation and Information Systems and Management. According to data from OpenAlex, Jonathan Sagotsky has authored 9 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Modeling and Simulation and 4 papers in Information Systems and Management. Recurrent topics in Jonathan Sagotsky's work include Mathematical Biology Tumor Growth (5 papers), Bioinformatics and Genomic Networks (4 papers) and Gene Regulatory Network Analysis (4 papers). Jonathan Sagotsky is often cited by papers focused on Mathematical Biology Tumor Growth (5 papers), Bioinformatics and Genomic Networks (4 papers) and Gene Regulatory Network Analysis (4 papers). Jonathan Sagotsky collaborates with scholars based in United States. Jonathan Sagotsky's co-authors include Thomas S. Deisboeck, Zhihui Wang, Le Zhang, Christina M. Birch, Zhiwei Wang, Seán Martin, Zhihui Wang and Thomas J. Taylor and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Molecular Systems Biology.

In The Last Decade

Jonathan Sagotsky

9 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Sagotsky United States	6	174	164	73	68	35	9	298
John Metzcar United States	5	118 0.7×	150 0.9×	83 1.1×	74 1.1×	59 1.7×	12	320
Nick Jagiella Germany	5	100 0.6×	130 0.8×	69 0.9×	109 1.6×	36 1.0×	6	316
Sophia Maggelakis United States	9	106 0.6×	244 1.5×	73 1.0×	95 1.4×	32 0.9×	21	347
Vivi Andasari United Kingdom	5	87 0.5×	183 1.1×	108 1.5×	103 1.5×	47 1.3×	5	277
John P. Sinek United States	4	101 0.6×	224 1.4×	128 1.8×	111 1.6×	57 1.6×	4	338
Krzysztof Puszyński Poland	10	241 1.4×	49 0.3×	119 1.6×	71 1.0×	74 2.1×	21	337
Renee Brady‐Nicholls United States	9	85 0.5×	189 1.2×	84 1.2×	22 0.3×	124 3.5×	14	339
S Michelson United States	13	170 1.0×	192 1.2×	148 2.0×	51 0.8×	145 4.1×	29	410
Stefan Höhme Germany	3	122 0.7×	247 1.5×	117 1.6×	224 3.3×	41 1.2×	4	440
Kaitlyn E. Johnson United States	8	117 0.7×	95 0.6×	51 0.7×	13 0.2×	79 2.3×	18	255

Countries citing papers authored by Jonathan Sagotsky

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Sagotsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Sagotsky

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

All Works

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9 of 9 papers shown

1.

Wang, Zhihui, et al.. (2012). Accelerating cancer systems biology research through Semantic Web technology. WIREs Systems Biology and Medicine. 5(2). 135–151. 10 indexed citations

2.

Wang, Zhiwei, et al.. (2010). Identifying therapeutic targets in a combined EGFR-TGF R signalling cascade using a multiscale agent-based cancer model. Mathematical Medicine and Biology A Journal of the IMA. 29(1). 95–108. 25 indexed citations

3.

Deisboeck, Thomas S. & Jonathan Sagotsky. (2010). Professional Networks in the Life Sciences: Linking the Linked. SHILAP Revista de lepidopterología. 1 indexed citations

4.

Wang, Zhihui, et al.. (2010). Simulating cancer growth with agent-based models. 173–187. 2 indexed citations

5.

Deisboeck, Thomas S. & Jonathan Sagotsky. (2010). Professional Networks in the Life Sciences: Linking the Linked. Cancer Informatics. 9. CIN.S5371–CIN.S5371. 1 indexed citations

6.

Wang, Zhihui, Christina M. Birch, Jonathan Sagotsky, & Thomas S. Deisboeck. (2009). Cross-scale, cross-pathway evaluation using an agent-based non-small cell lung cancer model. Bioinformatics. 25(18). 2389–2396. 56 indexed citations

7.

Zhang, Le, Zhihui Wang, Jonathan Sagotsky, & Thomas S. Deisboeck. (2008). Multiscale agent-based cancer modeling. Journal of Mathematical Biology. 58(4-5). 545–559. 100 indexed citations

8.

Sagotsky, Jonathan, et al.. (2008). Life Sciences and the web: a new era for collaboration. Molecular Systems Biology. 4(1). 201–201. 28 indexed citations

9.

Wang, Zhihui, Le Zhang, Jonathan Sagotsky, & Thomas S. Deisboeck. (2007). Simulating non-small cell lung cancer with a multiscale agent-based model. Theoretical Biology and Medical Modelling. 4(1). 75 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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