Alex Morehead

502 total citations
12 papers, 125 citations indexed

About

Alex Morehead is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Alex Morehead has authored 12 papers receiving a total of 125 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 3 papers in Materials Chemistry. Recurrent topics in Alex Morehead's work include Protein Structure and Dynamics (10 papers), Computational Drug Discovery Methods (7 papers) and Machine Learning in Bioinformatics (4 papers). Alex Morehead is often cited by papers focused on Protein Structure and Dynamics (10 papers), Computational Drug Discovery Methods (7 papers) and Machine Learning in Bioinformatics (4 papers). Alex Morehead collaborates with scholars based in United States. Alex Morehead's co-authors include Jianlin Cheng, Chen Chen, Xiao Chen, Tianqi Wu, George Mohler, Ye Duan, Armstrong Aboah, Ada Sedova, Yaw Adu‐Gyamfi and Wael Elwasif and has published in prestigious journals such as Bioinformatics, Proteins Structure Function and Bioinformatics and Protein Science.

In The Last Decade

Alex Morehead

12 papers receiving 121 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alex Morehead United States	7	71	46	29	21	14	12	125
Robert Pinsler United Kingdom	3	32 0.5×	20 0.4×	31 1.1×	8 0.4×	19 1.4×	3	68
Ishani Mondal India	6	31 0.4×	26 0.6×	5 0.2×	14 0.7×	48 3.4×	17	87
Tong-Liang Zhang China	7	579 8.2×	135 2.9×	4 0.1×	9 0.4×	28 2.0×	12	632
Tom Rainforth United Kingdom	4	7 0.1×	15 0.3×	7 0.2×	12 0.6×	31 2.2×	14	76
Pascal Caron France	5	32 0.5×	62 1.3×	6 0.2×	2 0.1×	71 5.1×	19	129
Bruno Escoffier France	4	24 0.3×	34 0.7×	2 0.1×	4 0.2×	3 0.2×	15	81
Cătălina Cangea United Kingdom	4	16 0.2×	13 0.3×	2 0.1×	33 1.6×	36 2.6×	5	68
Jean-Philippe Bossuat Switzerland	5	13 0.2×	20 0.4×	3 0.1×	13 0.6×	114 8.1×	7	131

Countries citing papers authored by Alex Morehead

Since Specialization

Citations

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

Fields of papers citing papers by Alex Morehead

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex Morehead

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

Morehead, Alex, et al.. (2025). Protein‐Ligand Structure and Affinity Prediction in CASP16 Using a Geometric Deep Learning Ensemble and Flow Matching. Proteins Structure Function and Bioinformatics. 94(1). 295–301. 1 indexed citations

Morehead, Alex & Jianlin Cheng. (2025). FlowDock: Geometric flow matching for generative protein–ligand docking and affinity prediction. Bioinformatics. 41(Supplement_1). i198–i206. 4 indexed citations

Morehead, Alex & Jianlin Cheng. (2024). Geometry-complete diffusion for 3D molecule generation and optimization. Communications Chemistry. 7(1). 150–150. 26 indexed citations

Morehead, Alex & Jianlin Cheng. (2024). Geometry-complete perceptron networks for 3D molecular graphs. Bioinformatics. 40(2). 5 indexed citations

Morehead, Alex, et al.. (2024). Protein structure accuracy estimation using geometry‐complete perceptron networks. Protein Science. 33(3). e4932–e4932. 6 indexed citations

Morehead, Alex, et al.. (2024). Protein Structure Accuracy Estimation using Geometry-Complete Perceptron Networks. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Morehead, Alex, Chen Chen, Ada Sedova, & Jianlin Cheng. (2023). DIPS-Plus: The enhanced database of interacting protein structures for interface prediction. Scientific Data. 10(1). 509–509. 10 indexed citations

Chen, Chen, et al.. (2023). 3D-equivariant graph neural networks for protein model quality assessment. Bioinformatics. 39(1). 20 indexed citations

Chen, Xiao, et al.. (2023). A gated graph transformer for protein complex structure quality assessment and its performance in CASP15. Bioinformatics. 39(Supplement_1). i308–i317. 13 indexed citations

10.

Aboah, Armstrong, et al.. (2022). A Region-Based Deep Learning Approach to Automated Retail Checkout. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 3209–3214. 16 indexed citations

11.

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

12.

Morehead, Alex, et al.. (2019). Low Cost Gunshot Detection using Deep Learning on the Raspberry Pi. IUScholarWorks (Indiana University). 3038–3044. 17 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Robert Pinsler Breakdown of academic impact, for papers by Ishani Mondal Breakdown of academic impact, for papers by Tong-Liang Zhang Breakdown of academic impact, for papers by Tom Rainforth Breakdown of academic impact, for papers by Pascal Caron Breakdown of academic impact, for papers by Bruno Escoffier Breakdown of academic impact, for papers by Cătălina Cangea Breakdown of academic impact, for papers by Jean-Philippe Bossuat