Tanja M. Davidsen

43.5k total citations
15 papers, 808 citations indexed

About

Tanja M. Davidsen is a scholar working on Molecular Biology, Cancer Research and Hematology. According to data from OpenAlex, Tanja M. Davidsen has authored 15 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Hematology. Recurrent topics in Tanja M. Davidsen's work include Cancer Genomics and Diagnostics (8 papers), Acute Myeloid Leukemia Research (7 papers) and Microbial Community Ecology and Physiology (3 papers). Tanja M. Davidsen is often cited by papers focused on Cancer Genomics and Diagnostics (8 papers), Acute Myeloid Leukemia Research (7 papers) and Microbial Community Ecology and Physiology (3 papers). Tanja M. Davidsen collaborates with scholars based in United States, Canada and Switzerland. Tanja M. Davidsen's co-authors include Kyle J. Wayne, Malcolm E. Winkler, Wai‐Leung Ng, Krystyna M. Kazmierczak, John I. Glass, Hervé Tettelin, Nikhat Zafar, Ramana Madupu, Owen White and Robert A. Montgomery and has published in prestigious journals such as Nucleic Acids Research, Blood and Cancer Research.

In The Last Decade

Tanja M. Davidsen

14 papers receiving 800 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tanja M. Davidsen United States 7 379 285 123 110 96 15 808
Neil B. Quigley United States 19 361 1.0× 201 0.7× 29 0.2× 89 0.8× 44 0.5× 25 1.1k
Patricia Stutzmann Meier Switzerland 21 368 1.0× 356 1.2× 121 1.0× 155 1.4× 14 0.1× 29 1.0k
Sarah Hoosdally United Kingdom 16 420 1.1× 194 0.7× 37 0.3× 29 0.3× 31 0.3× 19 840
Eduard Ling Israel 11 182 0.5× 196 0.7× 108 0.9× 113 1.0× 46 0.5× 31 572
Kelsi Penewit United States 14 289 0.8× 55 0.2× 44 0.4× 52 0.5× 31 0.3× 32 621
Brandon Tan United States 14 432 1.1× 173 0.6× 25 0.2× 51 0.5× 19 0.2× 21 902
Adam Waalkes United States 17 379 1.0× 75 0.3× 44 0.4× 44 0.4× 17 0.2× 38 759
Wanhai Qin Netherlands 15 728 1.9× 103 0.4× 70 0.6× 130 1.2× 10 0.1× 27 1.1k
Amy Y. Tang United States 8 828 2.2× 86 0.3× 85 0.7× 13 0.1× 56 0.6× 11 992
William O'Connell United States 11 373 1.0× 97 0.3× 82 0.7× 42 0.4× 48 0.5× 12 663

Countries citing papers authored by Tanja M. Davidsen

Since Specialization
Citations

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

Fields of papers citing papers by Tanja M. Davidsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanja M. Davidsen

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

All Works

15 of 15 papers shown
1.
Kim, Erika, Tanja M. Davidsen, Brandi N. Davis‐Dusenbery, et al.. (2024). NCI Cancer Research Data Commons: Lessons Learned and Future State. Cancer Research. 84(9). 1404–1409. 6 indexed citations
2.
Pot, David, Katherine Thayer, Tanja M. Davidsen, et al.. (2024). NCI Cancer Research Data Commons: Cloud-Based Analytic Resources. Cancer Research. 84(9). 1396–1403. 5 indexed citations
3.
Chen, Zhaoyi, Erika Kim, Tanja M. Davidsen, & Jill S. Barnholtz‐Sloan. (2024). Usage of the National Cancer Institute Cancer Research Data Commons by Researchers: A Scoping Review of the Literature. JCO Clinical Cancer Informatics. 8(8). e2400116–e2400116.
4.
Hinkson, Izumi V., et al.. (2017). A Comprehensive Infrastructure for Big Data in Cancer Research: Accelerating Cancer Research and Precision Medicine. Frontiers in Cell and Developmental Biology. 5. 108–108. 60 indexed citations
5.
Farrar, Jason E., Rhonda E. Ries, Daniel Wai, et al.. (2016). Genomic Profiling of Pediatric Acute Myeloid Leukemia Reveals a Changing Mutational Landscape from Disease Diagnosis to Relapse. Cancer Research. 76(8). 2197–2205. 104 indexed citations
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Ries, Rhonda E., Todd A. Alonzo, Robert B. Gerbing, et al.. (2012). Clinically Significant Mutations, Deletions and Translocations Involving ETV6 Identified by Whole Genome and Whole Exome Sequencing; Report From NCI/COG Target AML Initiative. Blood. 120(21). 125–125. 3 indexed citations
9.
Meshinchi, Soheil, Rhonda E. Ries, Jason E. Farrar, et al.. (2012). Abstract LB-93: Demonstration of significant clonal evolution from diagnosis to relapse in childhood AML determined by exome capture sequencing: an NCI/COG TARGET AML study. Cancer Research. 72(8_Supplement). LB–93. 2 indexed citations
10.
Ochs, Michael F., Jason E. Farrar, Michael Considine, et al.. (2012). Genome Wide Promoter Methylation Patterns Predict AML Subtype Outcomes and Identify Novel Pathways Characterizing Diagnostic and Relapsed Disease in Children. Blood. 120(21). 1287–1287. 4 indexed citations
11.
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Tanenbaum, David M., Johannes B. Goll, Sean D. Murphy, et al.. (2010). The JCVI standard operating procedure for annotating prokaryotic metagenomic shotgun sequencing data. Standards in Genomic Sciences. 2(2). 229–237. 47 indexed citations
13.
Davidsen, Tanja M., Erin Beck, Robert A. Montgomery, et al.. (2009). The comprehensive microbial resource. Nucleic Acids Research. 38(suppl_1). D340–D345. 203 indexed citations
14.
Ng, Wai‐Leung, Krystyna M. Kazmierczak, Tanja M. Davidsen, et al.. (2006). Genome Sequence of Avery's Virulent Serotype 2 Strain D39 ofStreptococcus pneumoniaeand Comparison with That of Unencapsulated Laboratory Strain R6. Journal of Bacteriology. 189(1). 38–51. 357 indexed citations
15.
Davidsen, Tanja M., Erin Beck, Robert A. Montgomery, et al.. (2000). The comprehensive microbial resource. 12. 97. 9 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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