Laura M. Sack

22 total papers · 1.4k total citations
9 papers, 897 citations indexed

About

Laura M. Sack is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Laura M. Sack has authored 9 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in Laura M. Sack's work include Cancer Genomics and Diagnostics (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). Laura M. Sack is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). Laura M. Sack collaborates with scholars based in United States and China. Laura M. Sack's co-authors include Stephen J. Elledge, Teresa Davoli, John C. Yoon, Andrew Wei Xu, Peter J. Park, Kristen E. Mengwasser, Qikai Xu, Mamie Z. Li, Kamila Naxerova and Yuyang Li and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Genes & Development.

In The Last Decade

Laura M. Sack

9 papers receiving 887 citations

Hit Papers

Cumulative Haploinsuffici... 2013 2026 2017 2021 2013 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Laura M. Sack 630 328 202 149 141 9 897
Andrew Wei Xu 558 0.9× 299 0.9× 182 0.9× 112 0.8× 113 0.8× 8 759
Shin‐ichiro Numata 561 0.9× 171 0.5× 162 0.8× 129 0.9× 73 0.5× 13 887
Yi-Tzu Lin 896 1.4× 275 0.8× 282 1.4× 274 1.8× 156 1.1× 14 1.1k
N C Levitt 849 1.3× 290 0.9× 119 0.6× 236 1.6× 80 0.6× 14 1.0k
Jennifer C. Finley 352 0.6× 300 0.9× 171 0.8× 213 1.4× 79 0.6× 7 962
Morgane Macheret 834 1.3× 145 0.4× 114 0.6× 258 1.7× 169 1.2× 6 923
P. J. Fialkow 266 0.4× 182 0.6× 178 0.9× 203 1.4× 60 0.4× 10 735
Kristen E. Shannon 705 1.1× 187 0.6× 274 1.4× 435 2.9× 160 1.1× 10 987
Jiang-Cheng Shen 796 1.3× 368 1.1× 133 0.7× 132 0.9× 64 0.5× 8 999
Kathleen A. Scorsone 671 1.1× 175 0.5× 103 0.5× 348 2.3× 151 1.1× 18 1.0k

Countries citing papers authored by Laura M. Sack

Since Specialization
Citations

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

Fields of papers citing papers by Laura M. Sack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura M. Sack

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

All Works

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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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