Dan E. Wells

5.2k citations
90 papers · 3.7k · h-index 32

Impact in

Papers in

    • Genomics and Chromatin Dynamics 15
    • RNA and protein synthesis mechanisms 12
    • RNA modifications and cancer 7
    • Genomics and Phylogenetic Studies 5
    • Genomic variations and chromosomal abnormalities 12

Dan E. Wells

88 papers receiving 3.6k citations

Peers

Dan E. Wells
Comparison fields: 5 of 107
  • Oral Surgery 443
  • Rheumatology 846
  • Cell Biology 616
  • Aging 60
  • Molecular Biology 1.9k
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Pao‐Tien Chuang United States
Tadahiro Iimura Japan
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Citations per field
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Citations per year

Countries citing papers authored by Dan E. Wells

Since Specialization
Citations

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

Fields of papers citing papers by Dan E. Wells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan E. Wells. 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 Dan E. Wells. The network helps show where Dan E. Wells may publish in the future.

Co-authors

The 25 scholars most cited alongside Dan E. Wells, 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 Dan E. Wells Line = papers co-authored together Dan E. Wells links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995362
2 2000356
3 1994166
4 1985163
5 1989145
6 1986134
7 2002113
8
Hereditary multiple exostoses (EXT): mutational studies of familial EXT1 cases and EXT-associated malignancies.
1997111
9 1981109
10 1997103
11 1994101
12 199797
13 198793
14 198777
15 199872
16 200562
17
Molecular definition of the shortest region of deletion overlap in the Langer-Giedion syndrome.
199162
18 199261
19 199861
20 199160

About Dan E. Wells

Dan E. Wells is a scholar working on Molecular Biology, Genetics, Rheumatology, Oral Surgery and Plant Science, having authored 90 papers that have together received 3.7k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (15 papers), Bone Tumor Diagnosis and Treatments (14 papers), Genomic variations and chromosomal abnormalities (12 papers), Oral and Maxillofacial Pathology (12 papers), RNA and protein synthesis mechanisms (12 papers), RNA modifications and cancer (7 papers), Chromosomal and Genetic Variations (5 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Oral Surgery (443 citations), Rheumatology (846 citations), Cell Biology (616 citations), Aging (60 citations) and Molecular Biology (1.9k citations). Dan E. Wells has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Larry Kedes, Xin Lin, Michael J. Wagner, Catherine McBride, Richard M. Showman, Jeffrey D. Esko, Jung Ahn, Bernhard Horsthemke, Ge Wei and Martin M. Matzuk. Their work appears in journals such as Genomics, Nucleic Acids Research, Developmental Biology, Fertility and Sterility and Human Molecular Genetics.

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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