Verena Chung

1.5k total citations
7 papers, 233 citations indexed

About

Verena Chung is a scholar working on Molecular Biology, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Verena Chung has authored 7 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Artificial Intelligence and 1 paper in Public Health, Environmental and Occupational Health. Recurrent topics in Verena Chung's work include CRISPR and Genetic Engineering (3 papers), Bioinformatics and Genomic Networks (2 papers) and Pluripotent Stem Cells Research (1 paper). Verena Chung is often cited by papers focused on CRISPR and Genetic Engineering (3 papers), Bioinformatics and Genomic Networks (2 papers) and Pluripotent Stem Cells Research (1 paper). Verena Chung collaborates with scholars based in United States, United Kingdom and China. Verena Chung's co-authors include Norbert Perrimon, Yanhui Hu, Stephanie E. Mohr, Aram Comjean, Jonathan Rodiger, Arunachalam Vinayagam, Raghuvir Viswanatha, Ankita Nand, Tong Hao and Alexander S. Banks and has published in prestigious journals such as Nucleic Acids Research, Developmental Cell and G3 Genes Genomes Genetics.

In The Last Decade

Verena Chung

7 papers receiving 232 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Verena Chung United States	7	173	43	34	30	23	7	233
Sreesankar Easwaran United States	6	166 1.0×	44 1.0×	32 0.9×	40 1.3×	24 1.0×	8	225
Gritta Tettweiler Canada	7	222 1.3×	25 0.6×	36 1.1×	47 1.6×	54 2.3×	8	304
Xuehong Liang China	10	277 1.6×	44 1.0×	33 1.0×	30 1.0×	23 1.0×	12	340
Joshua Spurrier United States	10	114 0.7×	18 0.4×	38 1.1×	38 1.3×	16 0.7×	14	227
Lynne Marshall United Kingdom	7	316 1.8×	26 0.6×	50 1.5×	28 0.9×	40 1.7×	9	412
Jonathan Rodiger United States	9	139 0.8×	13 0.3×	25 0.7×	16 0.5×	20 0.9×	11	180
Suzanne E. M. van der Horst Netherlands	6	188 1.1×	111 2.6×	35 1.0×	27 0.9×	29 1.3×	6	280
Ágnes Bánréti France	6	153 0.9×	50 1.2×	20 0.6×	23 0.8×	7 0.3×	6	269
Vellaichamy Bharathi India	7	165 1.0×	43 1.0×	42 1.2×	16 0.5×	17 0.7×	7	249
Colleen Kelley United States	5	237 1.4×	41 1.0×	68 2.0×	61 2.0×	42 1.8×	5	323

Countries citing papers authored by Verena Chung

Since Specialization

Citations

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

Fields of papers citing papers by Verena Chung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Verena Chung

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

All Works

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7 of 7 papers shown

1.

Hu, Yanhui, Verena Chung, Aram Comjean, et al.. (2020). BioLitMine: Advanced Mining of Biomedical and Biological Literature About Human Genes and Genes from Major Model Organisms. G3 Genes Genomes Genetics. 10(12). 4531–4539. 10 indexed citations

2.

Hu, Yanhui, Aram Comjean, Jonathan Rodiger, et al.. (2020). FlyRNAi.org—the database of the Drosophila RNAi screening center and transgenic RNAi project: 2021 update. Nucleic Acids Research. 49(D1). D908–D915. 39 indexed citations

3.

Chen, Chiao‐Lin, Jonathan Rodiger, Verena Chung, et al.. (2019). SNP-CRISPR: A Web Tool for SNP-Specific Genome Editing. G3 Genes Genomes Genetics. 10(2). 489–494. 38 indexed citations

4.

Song, Wei, Serkan Kır, Shangyu Hong, et al.. (2019). Tumor-Derived Ligands Trigger Tumor Growth and Host Wasting via Differential MEK Activation. Developmental Cell. 48(2). 277–286.e6. 57 indexed citations

5.

Viswanatha, Raghuvir, Yanhui Hu, Zhongchi Li, et al.. (2019). Pooled CRISPR Screens in Drosophila Cells. Current Protocols in Molecular Biology. 129(1). e111–e111. 11 indexed citations

6.

Hu, Yanhui, Richelle Sopko, Verena Chung, et al.. (2018). iProteinDB: An Integrative Database of Drosophila Post-translational Modifications. G3 Genes Genomes Genetics. 9(1). 1–11. 23 indexed citations

7.

Hu, Yanhui, Arunachalam Vinayagam, Ankita Nand, et al.. (2017). Molecular Interaction Search Tool (MIST): an integrated resource for mining gene and protein interaction data. Nucleic Acids Research. 46(D1). D567–D574. 55 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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