Tymor Hamamsy

2.7k total citations · 1 hit paper
7 papers, 671 citations indexed

About

Tymor Hamamsy is a scholar working on Molecular Biology, Toxicology and Genetics. According to data from OpenAlex, Tymor Hamamsy has authored 7 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Toxicology and 2 papers in Genetics. Recurrent topics in Tymor Hamamsy's work include Genomics and Rare Diseases (2 papers), Genomics and Phylogenetic Studies (2 papers) and Pharmacovigilance and Adverse Drug Reactions (1 paper). Tymor Hamamsy is often cited by papers focused on Genomics and Rare Diseases (2 papers), Genomics and Phylogenetic Studies (2 papers) and Pharmacovigilance and Adverse Drug Reactions (1 paper). Tymor Hamamsy collaborates with scholars based in United States, Czechia and Canada. Tymor Hamamsy's co-authors include Kaitlin E. Samocha, Douglas M. Ruderfer, Mark J. Daly, David Kavanagh, Konrad J. Karczewski, Daniel G. MacArthur, Matthew Solomonson, Daniel Birnbaum, Monkol Lek and Brett Thomas and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Nature Biotechnology.

In The Last Decade

Tymor Hamamsy

7 papers receiving 662 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The ExAC browser: displaying reference data information from over 60 000 exomes

2016 452 citations Konrad J. Karczewski, Ben Weisburd et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tymor Hamamsy United States	6	369	289	115	54	46	7	671
Hsiao‐Mei Lu United States	12	321 0.9×	339 1.2×	136 1.2×	54 1.0×	83 1.8×	22	651
Brett Thomas United States	6	380 1.0×	324 1.1×	98 0.9×	53 1.0×	45 1.0×	6	784
Eric Bareke Canada	14	403 1.1×	167 0.6×	129 1.1×	57 1.1×	41 0.9×	42	639
Praveen F. Cherukuri United States	13	484 1.3×	163 0.6×	96 0.8×	57 1.1×	25 0.5×	21	688
Dorota Piekutowska‐Abramczuk Poland	17	773 2.1×	181 0.6×	86 0.7×	67 1.2×	32 0.7×	59	1.0k
Janine Meienberg Switzerland	9	219 0.6×	327 1.1×	94 0.8×	21 0.4×	41 0.9×	12	512
Duncan B. Johnstone United States	13	450 1.2×	155 0.5×	69 0.6×	28 0.5×	42 0.9×	16	844
Masakazu Kohda Japan	14	515 1.4×	146 0.5×	67 0.6×	31 0.6×	47 1.0×	36	725
Maochun Qin United States	15	369 1.0×	130 0.4×	235 2.0×	73 1.4×	86 1.9×	26	691
Xianfu Yi China	18	559 1.5×	200 0.7×	183 1.6×	83 1.5×	30 0.7×	37	807

Countries citing papers authored by Tymor Hamamsy

Since Specialization

Citations

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

Fields of papers citing papers by Tymor Hamamsy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tymor Hamamsy

This figure shows the co-authorship network connecting the top 25 collaborators of Tymor Hamamsy. A scholar is included among the top collaborators of Tymor Hamamsy 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 Tymor Hamamsy. Tymor Hamamsy 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:

7 of 7 papers shown

1.

Lavertu, Adam, Tymor Hamamsy, Keith Humphreys, et al.. (2025). Monitoring the opioid epidemic via social media discussions. npj Digital Medicine. 8(1). 284–284. 3 indexed citations

2.

Hamamsy, Tymor, James T. Morton, Robert N. Blackwell, et al.. (2023). Protein remote homology detection and structural alignment using deep learning. Nature Biotechnology. 42(6). 975–985. 60 indexed citations

3.

Jackson, Christopher A., Giuseppe-Antonio Saldi, Andreas Tjärnberg, et al.. (2022). High-performance single-cell gene regulatory network inference at scale: the Inferelator 3.0. Bioinformatics. 38(9). 2519–2528. 37 indexed citations

4.

Hamamsy, Tymor, et al.. (2021). Viewing the US presidential electoral map through the lens of public health. PLoS ONE. 16(7). e0254001–e0254001. 7 indexed citations

5.

Lavertu, Adam, Tymor Hamamsy, & Russ B. Altman. (2021). Quantifying the Severity of Adverse Drug Reactions Using Social Media: Network Analysis. Journal of Medical Internet Research. 23(10). e27714–e27714. 8 indexed citations

6.

Karczewski, Konrad J., Ben Weisburd, Brett Thomas, et al.. (2016). The ExAC browser: displaying reference data information from over 60 000 exomes. Nucleic Acids Research. 45(D1). D840–D845. 452 indexed citations breakdown →

7.

Ruderfer, Douglas M., Tymor Hamamsy, Monkol Lek, et al.. (2016). Patterns of genic intolerance of rare copy number variation in 59,898 human exomes. Nature Genetics. 48(10). 1107–1111. 104 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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