Charles Roesel

1.5k total citations
10 papers, 853 citations indexed

About

Charles Roesel is a scholar working on Molecular Biology, Ecology and Immunology. According to data from OpenAlex, Charles Roesel has authored 10 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Ecology and 2 papers in Immunology. Recurrent topics in Charles Roesel's work include CRISPR and Genetic Engineering (4 papers), Bioinformatics and Genomic Networks (3 papers) and Insect Resistance and Genetics (3 papers). Charles Roesel is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Bioinformatics and Genomic Networks (3 papers) and Insect Resistance and Genetics (3 papers). Charles Roesel collaborates with scholars based in United States, China and India. Charles Roesel's co-authors include Norbert Perrimon, Yanhui Hu, Stephanie E. Mohr, Arunachalam Vinayagam, Bahar Yilmazel, Benjamin E. Housden, Richelle Sopko, Zhihao Yang, Jianzhong Xi and Jian‐Quan Ni and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Charles Roesel

10 papers receiving 847 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Charles Roesel United States	10	667	106	99	94	91	10	853
Ricardo De Matos Simoes United States	17	748 1.1×	129 1.2×	79 0.8×	86 0.9×	18 0.2×	44	1.1k
Kerstin Spirohn United States	9	483 0.7×	88 0.8×	46 0.5×	64 0.7×	16 0.2×	14	725
Thomas Stoeger United States	16	1.0k 1.6×	21 0.2×	133 1.3×	79 0.8×	41 0.5×	27	1.4k
Jingkai Yu China	11	573 0.9×	26 0.2×	82 0.8×	55 0.6×	18 0.2×	16	757
Julie Sullivan United Kingdom	10	757 1.1×	62 0.6×	151 1.5×	81 0.9×	52 0.6×	17	1.0k
Daniel H. Lackner United Kingdom	16	1.7k 2.6×	14 0.1×	143 1.4×	32 0.3×	75 0.8×	20	1.9k
Gabriel Östlund Sweden	7	856 1.3×	28 0.3×	176 1.8×	23 0.2×	45 0.5×	7	1.1k
Xionglei He China	19	1.3k 2.0×	57 0.5×	507 5.1×	29 0.3×	25 0.3×	51	1.8k
Florian Heigwer Germany	13	629 0.9×	47 0.4×	81 0.8×	69 0.7×	46 0.5×	21	894
Svetlana Pacifico United States	5	420 0.6×	16 0.2×	75 0.8×	54 0.6×	24 0.3×	6	515

Countries citing papers authored by Charles Roesel

Since Specialization

Citations

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

Fields of papers citing papers by Charles Roesel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Roesel

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

All Works

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10 of 10 papers shown

Vollmer, Steven V., et al.. (2023). Genomic signatures of disease resistance in endangered staghorn corals. Science. 381(6665). 1451–1454. 9 indexed citations

Roesel, Charles, Rebeca B. Rosengaus, Wendy A. Smith, & Steven V. Vollmer. (2020). Transcriptomics reveals specific molecular mechanisms underlying transgenerational immunity in Manduca sexta. Ecology and Evolution. 10(20). 11251–11261. 10 indexed citations

Roesel, Charles & Steven V. Vollmer. (2019). Differential gene expression analysis of symbiotic and aposymbiotic Exaiptasia anemones under immune challenge with Vibrio coralliilyticus. Ecology and Evolution. 9(14). 8279–8293. 11 indexed citations

Hu, Yanhui, Aram Comjean, Charles Roesel, et al.. (2016). FlyRNAi.org—the database of the Drosophila RNAi screening center and transgenic RNAi project: 2017 update. Nucleic Acids Research. 45(D1). D672–D678. 35 indexed citations

Vinayagam, Arunachalam, Travis E. Gibson, Ho‐Joon Lee, et al.. (2016). Controllability analysis of the directed human protein interaction network identifies disease genes and drug targets. Proceedings of the National Academy of Sciences. 113(18). 4976–4981. 178 indexed citations

Housden, Benjamin E., Alexander J. Valvezan, Colleen Kelley, et al.. (2015). Identification of potential drug targets for tuberous sclerosis complex by synthetic screens combining CRISPR-based knockouts with RNAi. Science Signaling. 8(393). rs9–rs9. 100 indexed citations

Vinayagam, Arunachalam, Jonathan Zirin, Charles Roesel, et al.. (2013). Integrating protein-protein interaction networks with phenotypes reveals signs of interactions. Nature Methods. 11(1). 94–99. 100 indexed citations

Ren, Xingjie, Jin Sun, Benjamin E. Housden, et al.. (2013). Optimized gene editing technology for Drosophila melanogaster using germ line-specific Cas9. Proceedings of the National Academy of Sciences. 110(47). 19012–19017. 291 indexed citations

Vinayagam, Arunachalam, Yanhui Hu, Meghana Kulkarni, et al.. (2013). Protein Complex–Based Analysis Framework for High-Throughput Data Sets. Science Signaling. 6(264). rs5–rs5. 84 indexed citations

10.

Hu, Yanhui, et al.. (2013). UP-TORR: Online Tool for Accurate and Up-to-Date Annotation of RNAi Reagents. Genetics. 195(1). 37–45. 35 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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