Alex Ford

1.2k total citations · 2 hit papers
4 papers, 596 citations indexed

About

Alex Ford is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Alex Ford has authored 4 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Oncology. Recurrent topics in Alex Ford's work include RNA and protein synthesis mechanisms (3 papers), Protein Structure and Dynamics (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Alex Ford is often cited by papers focused on RNA and protein synthesis mechanisms (3 papers), Protein Structure and Dynamics (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Alex Ford collaborates with scholars based in United States, Sweden and Canada. Alex Ford's co-authors include David Baker, Sugyan M. Dixit, Lauren Carter, Inna Goreshnik, Scott Houliston, Rashmi Ravichandran, Aaron Chevalier, Alexander Lemak, Tamuka M. Chidyausiku and Vikram Khipple Mulligan and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Scientific Reports.

In The Last Decade

Alex Ford

4 papers receiving 586 citations

Hit Papers

Global analysis of protein folding using massively parall... 2016 2026 2019 2022 2017 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alex Ford United States 4 495 136 87 48 47 4 596
Tamuka M. Chidyausiku United States 5 745 1.5× 191 1.4× 108 1.2× 33 0.7× 37 0.8× 5 849
Per‐Åke Löfdahl Sweden 6 357 0.7× 82 0.6× 128 1.5× 40 0.8× 37 0.8× 6 540
Binchen Mao United States 12 510 1.0× 211 1.6× 41 0.5× 74 1.5× 21 0.4× 26 668
Inna Goreshnik United States 10 827 1.7× 134 1.0× 177 2.0× 71 1.5× 60 1.3× 14 1.1k
Robert A. Langan United States 7 790 1.6× 124 0.9× 107 1.2× 125 2.6× 72 1.5× 8 974
Taiichi Sakamoto Japan 16 813 1.6× 101 0.7× 74 0.9× 25 0.5× 76 1.6× 57 914
Hao Fang China 17 510 1.0× 197 1.4× 53 0.6× 41 0.9× 36 0.8× 45 823
Mark D. Tully France 14 579 1.2× 81 0.6× 36 0.4× 50 1.0× 17 0.4× 33 735
Basile I. M. Wicky United States 11 644 1.3× 151 1.1× 40 0.5× 29 0.6× 27 0.6× 16 815
Barbara Mouratou France 15 448 0.9× 60 0.4× 239 2.7× 28 0.6× 74 1.6× 25 544

Countries citing papers authored by Alex Ford

Since Specialization
Citations

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

Fields of papers citing papers by Alex Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex Ford

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

All Works

4 of 4 papers shown
1.
Bryan, Cassie M., Sugyan M. Dixit, Matthew J. Bick, et al.. (2021). Computational design of a synthetic PD-1 agonist. Proceedings of the National Academy of Sciences. 118(29). 46 indexed citations
2.
Dixit, Sugyan M., Tamuka M. Chidyausiku, Inna Goreshnik, et al.. (2017). Global analysis of protein folding using massively parallel design, synthesis, and testing. Science. 357(6347). 168–175. 305 indexed citations breakdown →
3.
Rödström, Karin E. J., et al.. (2016). Two common structural motifs for TCR recognition by staphylococcal enterotoxins. Scientific Reports. 6(1). 25796–25796. 13 indexed citations
4.
Boyken, Scott E., Zibo Chen, Benjamin Groves, et al.. (2016). De novo design of protein homo-oligomers with modular hydrogen-bond network–mediated specificity. Science. 352(6286). 680–687. 232 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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