Lee Lichtenstein

32.3k total citations
8 papers, 571 citations indexed

About

Lee Lichtenstein is a scholar working on Cancer Research, Genetics and Molecular Biology. According to data from OpenAlex, Lee Lichtenstein has authored 8 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cancer Research, 5 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in Lee Lichtenstein's work include Cancer Genomics and Diagnostics (8 papers), Genomics and Rare Diseases (3 papers) and Genomics and Phylogenetic Studies (3 papers). Lee Lichtenstein is often cited by papers focused on Cancer Genomics and Diagnostics (8 papers), Genomics and Rare Diseases (3 papers) and Genomics and Phylogenetic Studies (3 papers). Lee Lichtenstein collaborates with scholars based in United States and Puerto Rico. Lee Lichtenstein's co-authors include Trevor J. Pugh, Gad Getz, Manaswi Gupta, Michael S. Lawrence, Alex H. Ramos, Gordon Saksena, Matthew Meyerson, Maura Costello, Chip Stewart and Dennis C. Friedrich and has published in prestigious journals such as Nucleic Acids Research, Cancer Research and Human Mutation.

In The Last Decade

Lee Lichtenstein

8 papers receiving 564 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lee Lichtenstein United States 5 336 310 136 129 121 8 571
Saeed Eshtad Sweden 3 325 1.0× 384 1.2× 120 0.9× 135 1.0× 74 0.6× 4 582
Linda Vidarsdóttir Sweden 8 358 1.1× 489 1.6× 95 0.7× 128 1.0× 113 0.9× 14 666
John DiCarlo United States 7 379 1.1× 276 0.9× 197 1.4× 313 2.4× 78 0.6× 10 645
Mark A. Micale United States 14 197 0.6× 259 0.8× 246 1.8× 105 0.8× 248 2.0× 32 689
Mia Petljak United States 7 279 0.8× 408 1.3× 99 0.7× 169 1.3× 52 0.4× 9 590
Eric Samorodnitsky United States 10 218 0.6× 331 1.1× 106 0.8× 232 1.8× 109 0.9× 22 650
Catherine Dugast France 11 185 0.6× 350 1.1× 296 2.2× 165 1.3× 49 0.4× 26 682
Himanshu Sethi United States 14 389 1.2× 315 1.0× 56 0.4× 280 2.2× 197 1.6× 44 715
Chris Clouser United States 4 300 0.9× 194 0.6× 64 0.5× 157 1.2× 134 1.1× 5 475
Erik N. Bergstrom United States 9 248 0.7× 314 1.0× 70 0.5× 111 0.9× 41 0.3× 14 463

Countries citing papers authored by Lee Lichtenstein

Since Specialization
Citations

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

Fields of papers citing papers by Lee Lichtenstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lee Lichtenstein

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

All Works

8 of 8 papers shown
1.
Venner, Eric, Karynne Patterson, Divya Kalra, et al.. (2024). The frequency of pathogenic variation in the All of Us cohort reveals ancestry-driven disparities. Communications Biology. 7(1). 174–174. 25 indexed citations
2.
Shand, Megan, José Soto, Lee Lichtenstein, et al.. (2020). A validated lineage-derived somatic truth data set enables benchmarking in cancer genome analysis. Communications Biology. 3(1). 744–744. 1 indexed citations
3.
Babadi, Mehrtash, Samuel K. Lee, Andrey N. Smirnov, et al.. (2018). Abstract 2287: Precise common and rare germline CNV calling with GATK. Cancer Research. 78(13_Supplement). 2287–2287. 9 indexed citations
4.
Babadi, Mehrtash, David Benjamin, Samuel K. Lee, et al.. (2017). Abstract 3580: GATK CNV: copy-number variation discovery from coverage data. Cancer Research. 77(13_Supplement). 3580–3580. 3 indexed citations
5.
Chevalier, Aaron, Lee Lichtenstein, Andrey N. Smirnov, et al.. (2017). Abstract 3581: GATK ACNV: allelic copy-number variation discovery from SNPs and coverage data. Cancer Research. 77(13_Supplement). 3581–3581. 2 indexed citations
6.
Lichtenstein, Lee, et al.. (2016). Abstract 3641: ReCapSeg: Validation of somatic copy number alterations for CLIA whole exome sequencing. Cancer Research. 76(14_Supplement). 3641–3641. 4 indexed citations
7.
Ramos, Alex H., Lee Lichtenstein, Manaswi Gupta, et al.. (2015). Oncotator: Cancer Variant Annotation Tool. Human Mutation. 36(4). E2423–E2429. 275 indexed citations
8.
Costello, Maura, Trevor J. Pugh, Chip Stewart, et al.. (2013). Discovery and characterization of artifactual mutations in deep coverage targeted capture sequencing data due to oxidative DNA damage during sample preparation. Nucleic Acids Research. 41(6). e67–e67. 252 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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