Dana Burow

569 citations
7 papers · 362 · h-index 6

Impact in

    • Sperm and Testicular Function
    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Renal and related cancers
    • Single-cell and spatial transcriptomics

Papers in

    • RNA Research and Splicing 4
    • RNA modifications and cancer 3
    • RNA and protein synthesis mechanisms 2
    • Pluripotent Stem Cells Research 1
    • CRISPR and Genetic Engineering 1
    • Sperm and Testicular Function 2

Dana Burow

7 papers receiving 362 citations

Peers

Dana Burow
Comparison fields: 5 of 41
  • Reproductive Medicine 129
  • Molecular Biology 283
  • Aging 6
  • Public Health, Environmental and Occupational Health 95
  • Cancer Research 43
Replace Suming Yang with:
Suming Yang China
Jake D. Lehle United States
Matteo Da Ros Finland
Lorena Roa-de la Cruz United States
Tinke L. Vormer Netherlands
Chiara Paiardi Italy
Sara Scantland Canada
Maria M. Mikedis United States
Elizabeth M. Snyder United States
Changli He United States
Dana Burow relative to Suming Yang China Suming Yang's profile →
Citations per field
00.5×1.5×
Suming Yang · 1×
Citations per year

Countries citing papers authored by Dana Burow

Since Specialization
Citations

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

Fields of papers citing papers by Dana Burow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dana Burow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dana Burow Line = papers co-authored together Dana Burow links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2019223
2 201842
3 201541
4 201733
5 201413
6 20229
7 20191

About Dana Burow

Dana Burow is a scholar working on Molecular Biology, Reproductive Medicine, Genetics, Cancer Research and Infectious Diseases, having authored 7 papers that have together received 362 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers), RNA and protein synthesis mechanisms (2 papers), Sperm and Testicular Function (2 papers), Animal Genetics and Reproduction (1 paper), NF-κB Signaling Pathways (1 paper), Pluripotent Stem Cells Research (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Reproductive Medicine (129 citations), Molecular Biology (283 citations), Aging (6 citations), Public Health, Environmental and Occupational Health (95 citations) and Cancer Research (43 citations). Dana Burow has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Kun Tan, Miles Wilkinson, Saher Sue Hammoud, Hye-Won Song, Raja Rabah, Louise C. Laurent, Dirk G. de Rooij, Elena Vicini, Abhishek Sohni and Michael D. Cleary. Their work appears in journals such as Nucleic Acids Research, Cell Reports, Neural Development, PLoS ONE and The Journal of Urology.

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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