Jonathan Ronen

691 total citations
8 papers, 259 citations indexed

About

Jonathan Ronen is a scholar working on Communication, Molecular Biology and Sociology and Political Science. According to data from OpenAlex, Jonathan Ronen has authored 8 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Communication, 3 papers in Molecular Biology and 3 papers in Sociology and Political Science. Recurrent topics in Jonathan Ronen's work include Social Media and Politics (3 papers), Single-cell and spatial transcriptomics (3 papers) and Cancer Genomics and Diagnostics (3 papers). Jonathan Ronen is often cited by papers focused on Social Media and Politics (3 papers), Single-cell and spatial transcriptomics (3 papers) and Cancer Genomics and Diagnostics (3 papers). Jonathan Ronen collaborates with scholars based in Germany, United States and Russia. Jonathan Ronen's co-authors include Altuna Akalin, Jonathan Nagler, Joshua A. Tucker, Jennifer Larson, Sikander Hayat, Vedran Franke, Bora Uyar, Ricardo Wurmus, Kevin Munger and Patrick J Egan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genome biology and American Journal of Political Science.

In The Last Decade

Jonathan Ronen

8 papers receiving 252 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Ronen Germany	7	112	72	61	38	35	8	259
Houcai Wang China	11	163 1.5×	65 0.9×	26 0.4×	37 1.0×	62 1.8×	29	350
Nitesh Sharma United States	10	68 0.6×	33 0.5×	11 0.2×	22 0.6×	23 0.7×	21	246
Helen Innes United Kingdom	8	72 0.6×	62 0.9×	11 0.2×	33 0.9×	216 6.2×	19	376
Yun Deng China	9	198 1.8×	112 1.6×	33 0.5×	62 1.6×	29 0.8×	15	378
William May United States	7	53 0.5×	17 0.2×	27 0.4×	8 0.2×	17 0.5×	9	159
Peter-Tobias Stoll Germany	7	59 0.5×	36 0.5×	10 0.2×	13 0.3×	24 0.7×	33	243
Lauren Hanson United States	6	28 0.3×	36 0.5×	19 0.3×	13 0.3×	38 1.1×	7	182
William G. Gunn United States	5	78 0.7×	22 0.3×	10 0.2×	28 0.7×	26 0.7×	11	281
Florian Schmidt Germany	13	226 2.0×	101 1.4×	6 0.1×	56 1.5×	22 0.6×	35	449

Countries citing papers authored by Jonathan Ronen

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Ronen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Ronen

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

All Works

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8 of 8 papers shown

1.

Ronen, Jonathan, et al.. (2024). scMaui: a widely applicable deep learning framework for single-cell multiomics integration in the presence of batch effects and missing data. BMC Bioinformatics. 25(1). 257–257. 3 indexed citations

2.

Ronen, Jonathan, et al.. (2022). Identifying tumor cells at the single-cell level using machine learning. Genome biology. 23(1). 123–123. 34 indexed citations

3.

Sommermann, Thomas, Tomoharu Yasuda, Jonathan Ronen, et al.. (2020). Functional interplay of Epstein-Barr virus oncoproteins in a mouse model of B cell lymphomagenesis. Proceedings of the National Academy of Sciences. 117(25). 14421–14432. 21 indexed citations

4.

Munger, Kevin, Patrick J Egan, Jonathan Nagler, Jonathan Ronen, & Joshua A. Tucker. (2020). Political Knowledge and Misinformation in the Era of Social Media: Evidence From the 2015 UK Election. British Journal of Political Science. 52(1). 107–127. 15 indexed citations

5.

Ronen, Jonathan, Sikander Hayat, & Altuna Akalin. (2019). Evaluation of colorectal cancer subtypes and cell lines using deep learning. Life Science Alliance. 2(6). e201900517–e201900517. 64 indexed citations

6.

Larson, Jennifer, Jonathan Nagler, Jonathan Ronen, & Joshua A. Tucker. (2019). Social Networks and Protest Participation: Evidence from 130 Million Twitter Users. American Journal of Political Science. 63(3). 690–705. 62 indexed citations

7.

Wurmus, Ricardo, et al.. (2018). PiGx: reproducible genomics analysis pipelines with GNU Guix. GigaScience. 7(12). 36 indexed citations

8.

Larson, Jennifer, Jonathan Nagler, Jonathan Ronen, & Joshua A. Tucker. (2016). Social Networks and Protest Participation: Evidence from 93 Million Twitter Users. SSRN Electronic Journal. 24 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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