Tara M. Lichtenberg

86.3k total citations · 1 hit paper
7 papers, 635 citations indexed

About

Tara M. Lichtenberg is a scholar working on Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tara M. Lichtenberg has authored 7 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cancer Research, 3 papers in Molecular Biology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tara M. Lichtenberg's work include Cancer Genomics and Diagnostics (4 papers), BRCA gene mutations in cancer (2 papers) and Biomedical Text Mining and Ontologies (2 papers). Tara M. Lichtenberg is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), BRCA gene mutations in cancer (2 papers) and Biomedical Text Mining and Ontologies (2 papers). Tara M. Lichtenberg collaborates with scholars based in United States, Netherlands and Germany. Tara M. Lichtenberg's co-authors include Ming Tang, Sahil Seth, Roel G.W. Verhaak, Siyuan Zheng, Qianghu Wang, Xin Hu, Samirkumar B. Amin, Emmanuel Martínez-Ledesma, Floris P Barthel and Wei Wei and has published in prestigious journals such as Nature Genetics, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Tara M. Lichtenberg

6 papers receiving 633 citations

Hit Papers

Systematic analysis of telomere length and somatic altera... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tara M. Lichtenberg United States 3 346 245 193 150 88 7 635
Colleen Fordyce United States 16 383 1.1× 216 0.9× 156 0.8× 199 1.3× 105 1.2× 18 681
R. F. Newbold United Kingdom 12 533 1.5× 329 1.3× 97 0.5× 157 1.0× 100 1.1× 18 760
Anastasios Sofiadis Sweden 12 280 0.8× 119 0.5× 52 0.3× 150 1.0× 106 1.2× 14 615
Eiichi Tahara Japan 14 441 1.3× 165 0.7× 106 0.5× 304 2.0× 78 0.9× 17 729
Antonio Díaz‐López Spain 13 375 1.1× 86 0.4× 302 1.6× 272 1.8× 32 0.4× 15 682
Abdelkader Selmi France 6 536 1.5× 52 0.2× 171 0.9× 454 3.0× 50 0.6× 6 760
Mindy A. Maynard Canada 7 483 1.4× 74 0.3× 559 2.9× 125 0.8× 118 1.3× 8 767
Mihee M. Kim United States 10 943 2.7× 127 0.5× 575 3.0× 217 1.4× 30 0.3× 11 1.1k
Paula Gutierrez‐Martinez Spain 10 763 2.2× 80 0.3× 138 0.7× 360 2.4× 106 1.2× 12 1.0k
Guangwu Zhu United States 12 617 1.8× 124 0.5× 110 0.6× 436 2.9× 327 3.7× 16 1.6k

Countries citing papers authored by Tara M. Lichtenberg

Since Specialization
Citations

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

Fields of papers citing papers by Tara M. Lichtenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tara M. Lichtenberg

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

All Works

7 of 7 papers shown
1.
Schieffer, Kathleen M., Christopher R. Pierson, Daniel R. Boué, et al.. (2022). Infantile metastatic ependymoma with a novel molecular profile and favorable outcome to intensive chemotherapy without irradiation: Case‐based review. Genes Chromosomes and Cancer. 62(1). 39–46.
2.
Thomas, Stacy B., Tara M. Lichtenberg, Kristen K. Dang, et al.. (2020). Linked Entity Attribute Pair (LEAP): A Harmonization Framework for Data Pooling. JCO Clinical Cancer Informatics. 4(4). 691–699. 1 indexed citations
3.
Grossman, Robert L., et al.. (2019). Harmonization of clinical data across Gen3 data commons.. Journal of Clinical Oncology. 37(15_suppl). e18094–e18094. 2 indexed citations
4.
Lichtenberg, Tara M., Andrew D. Cherniack, Albert J. Kovatich, et al.. (2018). Abstract P3-16-01: Using the new pan-cancer clinical data resource (TCGA-CDR) to identify breast cancer genomic correlates associating with different survival outcome endpoints. Cancer Research. 78(4_Supplement). P3–16. 1 indexed citations
5.
Liu, Jianfang, Tara M. Lichtenberg, Katherine A. Hoadley, et al.. (2018). Abstract 3287: An integrated TCGA pan-cancer clinical data resource to drive high quality survival outcome analytics. Cancer Research. 78(13_Supplement). 3287–3287. 31 indexed citations
6.
Huo, Dezheng, Hai Hu, Suhn K. Rhie, et al.. (2017). Comparison of Breast Cancer Molecular Features and Survival by African and European Ancestry in The Cancer Genome Atlas. JAMA Oncology. 3(12). 1654–1654. 184 indexed citations
7.
Barthel, Floris P, Wei Wei, Ming Tang, et al.. (2017). Systematic analysis of telomere length and somatic alterations in 31 cancer types. Nature Genetics. 49(3). 349–357. 416 indexed citations breakdown →

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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