Ryan Brand

905 total citations
4 papers, 60 citations indexed

About

Ryan Brand is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Ryan Brand has authored 4 papers receiving a total of 60 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 1 paper in Pharmacology. Recurrent topics in Ryan Brand's work include Computational Drug Discovery Methods (3 papers), Protein Structure and Dynamics (2 papers) and Machine Learning in Bioinformatics (1 paper). Ryan Brand is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Protein Structure and Dynamics (2 papers) and Machine Learning in Bioinformatics (1 paper). Ryan Brand collaborates with scholars based in United States and France. Ryan Brand's co-authors include W. W. Webb, Steven A. Combs, Peter Clark, Zichen Wang, Panpan Xu, Huzefa Rangwala, Jared Adolf‐Bryfogle, Rebecca F. Alford, Yanjun Qi and Yohei Nakayama and has published in prestigious journals such as Scientific Reports, Solid State Communications and ACS Omega.

In The Last Decade

Ryan Brand

4 papers receiving 57 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryan Brand United States	3	39	14	9	9	7	4	60
Radmila Sazdanović United States	6	14 0.4×	33 2.4×	2 0.2×	5 0.6×	5 0.7×	36	128
Bryan Raubenolt United States	4	23 0.6×	10 0.7×	2 0.2×	7 0.8×	3 0.4×	6	45
Dmitry Lepikhin United States	2	18 0.5×	21 1.5×		4 0.4×	5 0.7×	3	30
Yingze Wang United States	3	16 0.4×	9 0.6×		26 2.9×	3 0.4×	9	44
Andrea Bedini Australia	5	11 0.3×	5 0.4×	27 3.0×	12 1.3×	2 0.3×	10	44
Rui Yao China	3	26 0.7×	23 1.6×		15 1.7×	2 0.3×	6	48
M. Quispe Spain	2	12 0.3×	2 0.1×	3 0.3×	12 1.3×	6 0.9×	10	45
Maksim Kuznetsov Canada	4	24 0.6×	29 2.1×		24 2.7×	3 0.4×	8	61
Dirk Drasdo Germany	4	32 0.8×	4 0.3×	7 0.8×	1 0.1×	4 0.6×	7	54
Martin Simonovsky France	2	40 1.0×	38 2.7×		16 1.8×	5 0.7×	4	59

Countries citing papers authored by Ryan Brand

Since Specialization

Citations

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

Fields of papers citing papers by Ryan Brand

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan Brand

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

All Works

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4 of 4 papers shown

1.

Wang, Zichen, Ryan Brand, Jared Adolf‐Bryfogle, et al.. (2024). EGGNet, a Generalizable Geometric Deep Learning Framework for Protein Complex Pose Scoring. ACS Omega. 9(7). 7471–7479. 2 indexed citations

2.

Wang, Zichen, et al.. (2022). LM-GVP: an extensible sequence and structure informed deep learning framework for protein property prediction. Scientific Reports. 12(1). 6832–6832. 42 indexed citations

3.

Wang, Zichen, Vassilis N. Ioannidis, Huzefa Rangwala, et al.. (2022). Graph Neural Networks in Life Sciences. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 4834–4835. 3 indexed citations

4.

Brand, Ryan & W. W. Webb. (1969). Effects of stress and structure on critical current densities of superconducting V3Si. Solid State Communications. 7(1). 19–21. 13 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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