Alan M. Moses

1.0k total citations
9 papers, 486 citations indexed

About

Alan M. Moses is a scholar working on Molecular Biology, Astronomy and Astrophysics and Genetics. According to data from OpenAlex, Alan M. Moses has authored 9 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 1 paper in Astronomy and Astrophysics and 1 paper in Genetics. Recurrent topics in Alan M. Moses's work include Protein Structure and Dynamics (5 papers), RNA and protein synthesis mechanisms (5 papers) and Bioinformatics and Genomic Networks (3 papers). Alan M. Moses is often cited by papers focused on Protein Structure and Dynamics (5 papers), RNA and protein synthesis mechanisms (5 papers) and Bioinformatics and Genomic Networks (3 papers). Alan M. Moses collaborates with scholars based in Canada, United Kingdom and United States. Alan M. Moses's co-authors include Charles Boone, Judice L.Y. Koh, Supipi Duffy, Richard Durbin, Yolanda Chong, Helena Friesen, Jason Moffat, Jean-Karim Hèriché, Alex N. Nguyen Ba and Brian J. Yeh and has published in prestigious journals such as Cell, Chemical Reviews and Bioinformatics.

In The Last Decade

Alan M. Moses

9 papers receiving 482 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alan M. Moses Canada	7	428	76	57	45	38	9	486
Taraneh Zarin Canada	10	499 1.2×	63 0.8×	29 0.5×	19 0.4×	26 0.7×	14	566
Supipi Duffy Canada	5	292 0.7×	52 0.7×	63 1.1×	29 0.6×	16 0.4×	7	328
Matthias Berth Germany	9	361 0.8×	34 0.4×	44 0.8×	165 3.7×	51 1.3×	9	505
Katsuyuki Kunida Japan	10	381 0.9×	119 1.6×	57 1.0×	20 0.4×	33 0.9×	18	504
Arjun Narayanan United States	9	416 1.0×	77 1.0×	22 0.4×	24 0.5×	27 0.7×	10	491
Uri Weill Israel	11	712 1.7×	191 2.5×	18 0.3×	42 0.9×	14 0.4×	13	777
Joanna M. Kwiatek United States	10	277 0.6×	86 1.1×	46 0.8×	20 0.4×	5 0.1×	14	362
Benjamin Barsi‐Rhyne United States	6	453 1.1×	80 1.1×	54 0.9×	38 0.8×	38 1.0×	7	544
Ilia Kats Germany	10	364 0.9×	74 1.0×	50 0.9×	15 0.3×	25 0.7×	17	421
Rammohan Narayanaswamy United States	7	356 0.8×	75 1.0×	23 0.4×	11 0.2×	35 0.9×	11	421

Countries citing papers authored by Alan M. Moses

Since Specialization

Citations

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

Fields of papers citing papers by Alan M. Moses

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan M. Moses. 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 Alan M. Moses. The network helps show where Alan M. Moses may publish in the future.

Co-authorship network of co-authors of Alan M. Moses

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

All Works

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9 of 9 papers shown

1.

Moses, Alan M., et al.. (2025). An RNA Condensate Model for the Origin of Life. Journal of Molecular Biology. 437(12). 169124–169124. 2 indexed citations

2.

Millar, Seán, Jie Huang, Karl J. Schreiber, et al.. (2023). A New Phase of Networking: The Molecular Composition and Regulatory Dynamics of Mammalian Stress Granules. Chemical Reviews. 123(14). 9036–9064. 65 indexed citations

3.

Zarin, Taraneh, et al.. (2022). Evolution of short linear motifs and disordered proteins Topic: yeast as model system to study evolution. Current Opinion in Genetics & Development. 76. 101964–101964. 10 indexed citations

4.

Singh, Gurdeep, et al.. (2019). Variational infinite heterogeneous mixture model for semi-supervised clustering of heart enhancers. Bioinformatics. 35(18). 3232–3239. 1 indexed citations

5.

Moses, Alan M., et al.. (2018). NoLogo: a new statistical model highlights the diversity and suggests new classes of Crm1-dependent nuclear export signals. BMC Bioinformatics. 19(1). 65–65. 7 indexed citations

6.

Khan, Tahsin, et al.. (2015). Polymorphism Analysis Reveals Reduced Negative Selection and Elevated Rate of Insertions and Deletions in Intrinsically Disordered Protein Regions. Genome Biology and Evolution. 7(6). 1815–1826. 30 indexed citations

7.

Chong, Yolanda, Judice L.Y. Koh, Helena Friesen, et al.. (2015). Yeast Proteome Dynamics from Single Cell Imaging and Automated Analysis. Cell. 161(6). 1413–1424. 200 indexed citations

8.

Ba, Alex N. Nguyen, Brian J. Yeh, Dewald van Dyk, et al.. (2012). Proteome-Wide Discovery of Evolutionary Conserved Sequences in Disordered Regions. Science Signaling. 5(215). rs1–rs1. 106 indexed citations

9.

Moses, Alan M., Jean-Karim Hèriché, & Richard Durbin. (2007). Clustering of phosphorylation site recognition motifs can be exploited to predict the targets of cyclin-dependent kinase. Genome biology. 8(2). R23–R23. 65 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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