Gregory Ryslik

3.7k total citations · 1 hit paper
8 papers, 664 citations indexed

About

Gregory Ryslik is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Gregory Ryslik has authored 8 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in Gregory Ryslik's work include Genomics and Rare Diseases (3 papers), Bioinformatics and Genomic Networks (3 papers) and Computational Drug Discovery Methods (2 papers). Gregory Ryslik is often cited by papers focused on Genomics and Rare Diseases (3 papers), Bioinformatics and Genomic Networks (3 papers) and Computational Drug Discovery Methods (2 papers). Gregory Ryslik collaborates with scholars based in United States, United Kingdom and Austria. Gregory Ryslik's co-authors include Yu‐Wei Cheng, Benjamin J. Raphael, Abel González-Pérez, Li Ding, Fabio Vandin, Michael D. McLellan, Jacob Thomas, Younhun Kim, Mark D.M. Leiserson and Alexandra Papoutsaki and has published in prestigious journals such as Nature Genetics, Scientific Reports and Psychopharmacology.

In The Last Decade

Gregory Ryslik

8 papers receiving 655 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.

Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes

2014 588 citations Mark D.M. Leiserson, Fabio Vandin et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gregory Ryslik United States	7	556	226	91	80	52	8	664
Younhun Kim United States	3	505 0.9×	206 0.9×	81 0.9×	62 0.8×	52 1.0×	4	622
Hsin-Ta Wu United States	4	663 1.2×	322 1.4×	129 1.4×	71 0.9×	84 1.6×	4	817
Salim A. Chowdhury United States	13	321 0.6×	200 0.9×	87 1.0×	49 0.6×	46 0.9×	15	471
Taejeong Bae United States	11	498 0.9×	179 0.8×	130 1.4×	82 1.0×	24 0.5×	23	649
Pau Creixell United States	12	643 1.2×	165 0.7×	95 1.0×	104 1.3×	43 0.8×	17	802
Hung-I Harry Chen United States	10	446 0.8×	199 0.9×	48 0.5×	105 1.3×	32 0.6×	12	662
Laurent Winckers Netherlands	3	348 0.6×	91 0.4×	41 0.5×	55 0.7×	56 1.1×	4	534
Emanuel Gonçalves United Kingdom	17	757 1.4×	179 0.8×	87 1.0×	84 1.1×	56 1.1×	31	940
Nicholas P. Gauthier United States	12	510 0.9×	103 0.5×	92 1.0×	42 0.5×	20 0.4×	19	655
Evan Paull United States	11	512 0.9×	188 0.8×	47 0.5×	79 1.0×	125 2.4×	17	664

Countries citing papers authored by Gregory Ryslik

Since Specialization

Citations

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

Fields of papers citing papers by Gregory Ryslik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory Ryslik

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory Ryslik. A scholar is included among the top collaborators of Gregory Ryslik 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 Gregory Ryslik. Gregory Ryslik 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.

Dougherty, Robert F., Patrick Clarke, Joanna Kuć, et al.. (2023). Psilocybin therapy for treatment resistant depression: prediction of clinical outcome by natural language processing. Psychopharmacology. 242(7). 1553–1561. 10 indexed citations

2.

Tsai, Tsung‐Heng, Zhiqi Hao, Qiuting Hong, et al.. (2017). Statistical characterization of therapeutic protein modifications. Scientific Reports. 7(1). 7896–7896. 3 indexed citations

3.

Ryslik, Gregory, Yu‐Wei Cheng, Yorgo Modis, & Hongyu Zhao. (2016). Leveraging protein quaternary structure to identify oncogenic driver mutations. BMC Bioinformatics. 17(1). 137–137. 6 indexed citations

4.

Ford, Kevin A., et al.. (2016). Comparative evaluation of 11 in silico models for the prediction of small molecule mutagenicity: role of steric hindrance and electron-withdrawing groups. Toxicology Mechanisms and Methods. 27(1). 24–35. 6 indexed citations

5.

Ford, Kevin A., et al.. (2015). Computational predictions of the site of metabolism of cytochrome P450 2D6 substrates: comparative analysis, molecular docking, bioactivation and toxicological implications. Drug Metabolism Reviews. 47(3). 291–319. 15 indexed citations

6.

Ryslik, Gregory, Yu‐Wei Cheng, Kei-Hoi Cheung, et al.. (2014). A spatial simulation approach to account for protein structure when identifying non-random somatic mutations. BMC Bioinformatics. 15(1). 231–231. 15 indexed citations

7.

Ryslik, Gregory, Yu‐Wei Cheng, Kei-Hoi Cheung, Yorgo Modis, & Hongyu Zhao. (2014). A graph theoretic approach to utilizing protein structure to identify non-random somatic mutations. BMC Bioinformatics. 15(1). 86–86. 21 indexed citations

8.

Leiserson, Mark D.M., Fabio Vandin, Hsin-Ta Wu, et al.. (2014). Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes. Nature Genetics. 47(2). 106–114. 588 indexed citations breakdown →

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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