Raj S. Roy

612 total citations
14 papers, 191 citations indexed

About

Raj S. Roy is a scholar working on Molecular Biology, Materials Chemistry and Computer Networks and Communications. According to data from OpenAlex, Raj S. Roy has authored 14 papers receiving a total of 191 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Materials Chemistry and 1 paper in Computer Networks and Communications. Recurrent topics in Raj S. Roy's work include Protein Structure and Dynamics (8 papers), Enzyme Structure and Function (7 papers) and Machine Learning in Bioinformatics (4 papers). Raj S. Roy is often cited by papers focused on Protein Structure and Dynamics (8 papers), Enzyme Structure and Function (7 papers) and Machine Learning in Bioinformatics (4 papers). Raj S. Roy collaborates with scholars based in United States, India and South Korea. Raj S. Roy's co-authors include Jianlin Cheng, Farhan Quadir, Zhiye Guo, Jian Liu, Tianqi Wu, Chen Chen, Randal Halfmann, Magdy Bayoumi, J. Bart Rose and Wael Elwasif and has published in prestigious journals such as Bioinformatics, Scientific Reports and European Journal of Cancer.

In The Last Decade

Raj S. Roy

13 papers receiving 190 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Raj S. Roy United States	8	149	70	36	24	10	14	191
Tunde Aderinwale United States	8	159 1.1×	70 1.0×	22 0.6×	26 1.1×	10 1.0×	10	198
Anna Shiriaeva United States	7	134 0.9×	48 0.7×	11 0.3×	26 1.1×	9 0.9×	9	181
Christian Blau Sweden	7	254 1.7×	47 0.7×	12 0.3×	27 1.1×	3 0.3×	14	309
Peicong Lin China	7	92 0.6×	36 0.5×	20 0.6×	26 1.1×	7 0.7×	7	118
P. Reinke Germany	5	83 0.6×	70 1.0×	11 0.3×	24 1.0×	4 0.4×	9	154
Yasuyo Ikegawa Japan	4	129 0.9×	59 0.8×	29 0.8×	6 0.3×	4 0.4×	6	156
Stefan Seemayer Germany	5	399 2.7×	107 1.5×	50 1.4×	10 0.4×	2 0.2×	5	429
Jonas Pfab United States	2	127 0.9×	78 1.1×	10 0.3×	89 3.7×	29 2.9×	3	183
Takahiro KUDOU Japan	4	123 0.8×	60 0.9×	16 0.4×	6 0.3×	3 0.3×	6	145
L. Launer France	3	146 1.0×	163 2.3×	12 0.3×	25 1.0×	2 0.2×	3	216

Countries citing papers authored by Raj S. Roy

Since Specialization

Citations

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

Fields of papers citing papers by Raj S. Roy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raj S. Roy. 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 Raj S. Roy. The network helps show where Raj S. Roy may publish in the future.

Co-authorship network of co-authors of Raj S. Roy

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

All Works

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14 of 14 papers shown

Roy, Raj S., Herbert Chen, J. Bart Rose, et al.. (2025). Unraveling the clinical impact of differential DNA methylation in PDAC: A systematic review. European Journal of Cancer. 220. 115384–115384. 1 indexed citations

Liu, Jian, Zhiye Guo, Tianqi Wu, et al.. (2023). Enhancing alphafold-multimer-based protein complex structure prediction with MULTICOM in CASP15. Communications Biology. 6(1). 1140–1140. 43 indexed citations

Roy, Raj S., et al.. (2023). Combining pairwise structural similarity and deep learning interface contact prediction to estimate protein complex model accuracy in CASP15. Proteins Structure Function and Bioinformatics. 91(12). 1889–1902. 13 indexed citations

Liu, Jian, Zhiye Guo, Tianqi Wu, et al.. (2023). Improving AlphaFold2-based protein tertiary structure prediction with MULTICOM in CASP15. Communications Chemistry. 6(1). 188–188. 16 indexed citations

Roy, Raj S., et al.. (2023). Deep learning for reconstructing protein structures from cryo-EM density maps: Recent advances and future directions. Current Opinion in Structural Biology. 79. 102536–102536. 37 indexed citations

Roy, Raj S., et al.. (2022). A deep dilated convolutional residual network for predicting interchain contacts of protein homodimers. Bioinformatics. 38(7). 1904–1910. 24 indexed citations

Quadir, Farhan, et al.. (2021). DeepComplex: A Web Server of Predicting Protein Complex Structures by Deep Learning Inter-chain Contact Prediction and Distance-Based Modelling. Frontiers in Molecular Biosciences. 8. 716973–716973. 15 indexed citations

Quadir, Farhan, Raj S. Roy, Randal Halfmann, & Jianlin Cheng. (2021). DNCON2_Inter: predicting interchain contacts for homodimeric and homomultimeric protein complexes using multiple sequence alignments of monomers and deep learning. Scientific Reports. 11(1). 12295–12295. 18 indexed citations

Quadir, Farhan, et al.. (2021). Distance‐based reconstruction of protein quaternary structures from inter‐chain contacts. Proteins Structure Function and Bioinformatics. 90(3). 720–731. 9 indexed citations

10.

Gao, Mu, Alex Morehead, Chen Chen, et al.. (2021). High-Performance Deep Learning Toolbox for Genome-Scale Prediction of Protein Structure and Function. PubMed. 2021. 46–57. 6 indexed citations

11.

Roy, Raj S., et al.. (2017). HWBI : Health and Well-Being Index. A Neural Network Based Index Which Quantifies the Cumulative Impact of Lifestyle Habits on Personal Health and Well-Being and Demonstration of Its Application in Managing the Risk of Diabetes. 877–882.

12.

Roy, Raj S., et al.. (2016). Assisting humans to achieve optimal sleep by changing ambient temperature. 8. 841–845. 4 indexed citations

13.

Roy, Raj S., et al.. (2013). Estimating personalized risk ranking using laboratory test and medical knowledge (UMLS). PubMed. 37. 1274–1277. 2 indexed citations

14.

Roy, Raj S. & Magdy Bayoumi. (1989). An efficient two's complement systolic multiplier for real-time digital signal processing. IEEE Transactions on Circuits and Systems. 36(11). 1488–1493. 3 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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