Sara Sheehan

578 total citations
4 papers, 315 citations indexed

About

Sara Sheehan is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Sara Sheehan has authored 4 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Genetics and 1 paper in Artificial Intelligence. Recurrent topics in Sara Sheehan's work include Genetic diversity and population structure (3 papers), Genomics and Phylogenetic Studies (2 papers) and Bayesian Methods and Mixture Models (1 paper). Sara Sheehan is often cited by papers focused on Genetic diversity and population structure (3 papers), Genomics and Phylogenetic Studies (2 papers) and Bayesian Methods and Mixture Models (1 paper). Sara Sheehan collaborates with scholars based in United States. Sara Sheehan's co-authors include Yun S. Song, Kelley Harris and Jack Kamm and has published in prestigious journals such as Bioinformatics, Genetics and PLoS Computational Biology.

In The Last Decade

Sara Sheehan

4 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sara Sheehan United States	4	239	127	35	30	27	4	315
Matthias Steinrücken United States	10	358 1.5×	114 0.9×	12 0.3×	36 1.2×	18 0.7×	19	423
Clemens Lakner United States	5	78 0.3×	128 1.0×	10 0.3×	34 1.1×	18 0.7×	5	179
Graham Gower Denmark	6	107 0.4×	69 0.5×	44 1.3×	6 0.2×	20 0.7×	7	193
István Miklós Hungary	6	161 0.7×	281 2.2×	29 0.8×	21 0.7×	68 2.5×	8	377
Shahab Sarmashghi United States	5	70 0.3×	155 1.2×	42 1.2×	11 0.4×	52 1.9×	9	207
David A. Christie United Kingdom	6	174 0.7×	129 1.0×	62 1.8×	90 3.0×	75 2.8×	9	239
Anthony Wilder Wohns United Kingdom	7	262 1.1×	119 0.9×	17 0.5×	15 0.5×	20 0.7×	8	350
Joel Velasco United States	10	74 0.3×	92 0.7×	19 0.5×	11 0.4×	77 2.9×	20	275
Ulaş Işıldak Türkiye	6	142 0.6×	81 0.6×	10 0.3×	17 0.6×	5 0.2×	7	217
Leonard N. Jones United States	4	108 0.5×	89 0.7×	17 0.5×	5 0.2×	21 0.8×	5	194

Countries citing papers authored by Sara Sheehan

Since Specialization

Citations

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

Fields of papers citing papers by Sara Sheehan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Sheehan

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

4 of 4 papers shown

1.

Sheehan, Sara & Yun S. Song. (2016). Deep Learning for Population Genetic Inference. PLoS Computational Biology. 12(3). e1004845–e1004845. 164 indexed citations

2.

Harris, Kelley, Sara Sheehan, Jack Kamm, & Yun S. Song. (2014). Decoding Coalescent Hidden Markov Models in Linear Time. Lecture notes in computer science. 8394. 100–114. 6 indexed citations

3.

Sheehan, Sara, Kelley Harris, & Yun S. Song. (2013). Estimating Variable Effective Population Sizes from Multiple Genomes: A Sequentially Markov Conditional Sampling Distribution Approach. Genetics. 194(3). 647–662. 129 indexed citations

4.

Sheehan, Sara, et al.. (2012). Telescoper: de novo assembly of highly repetitive regions. Bioinformatics. 28(18). i311–i317. 16 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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