Dan E. Wells

5.2k total citations
88 papers, 3.6k citations indexed

About

Dan E. Wells is a scholar working on Molecular Biology, Genetics and Rheumatology. According to data from OpenAlex, Dan E. Wells has authored 88 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 20 papers in Genetics and 15 papers in Rheumatology. Recurrent topics in Dan E. Wells's work include Genomics and Chromatin Dynamics (15 papers), Bone Tumor Diagnosis and Treatments (14 papers) and Genomic variations and chromosomal abnormalities (12 papers). Dan E. Wells is often cited by papers focused on Genomics and Chromatin Dynamics (15 papers), Bone Tumor Diagnosis and Treatments (14 papers) and Genomic variations and chromosomal abnormalities (12 papers). Dan E. Wells collaborates with scholars based in United States, United Kingdom and Canada. Dan E. Wells's co-authors include Larry Kedes, Xin Lin, Michael J. Wagner, Catherine McBride, Jung Ahn, Jeffrey D. Esko, Richard M. Showman, Bernhard Horsthemke, Zheng-Zheng Shi and Laurence Dryer and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Dan E. Wells

87 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan E. Wells United States 32 1.9k 860 651 586 535 88 3.6k
Carol A. Wise United States 35 2.7k 1.4× 690 0.8× 1.2k 1.9× 419 0.7× 158 0.3× 85 5.7k
Pao‐Tien Chuang United States 34 4.2k 2.2× 207 0.2× 1.5k 2.3× 480 0.8× 499 0.9× 52 5.1k
Doris Brown United States 29 2.6k 1.4× 248 0.3× 668 1.0× 257 0.4× 265 0.5× 75 4.0k
Rong Mo Canada 31 4.5k 2.4× 153 0.2× 1.6k 2.5× 270 0.5× 296 0.6× 40 5.4k
Tadahiro Iimura Japan 31 1.9k 1.0× 348 0.4× 389 0.6× 300 0.5× 73 0.1× 104 2.9k
Carol Wicking Australia 37 3.4k 1.8× 103 0.1× 1.4k 2.2× 460 0.8× 176 0.3× 78 4.1k
Corinne Stoetzel France 30 2.5k 1.3× 235 0.3× 1.8k 2.8× 273 0.5× 126 0.2× 67 3.3k
Beat Trüeb Switzerland 35 1.8k 1.0× 261 0.3× 642 1.0× 787 1.3× 243 0.5× 94 3.5k
Tatsuro Ikeuchi Japan 28 1.4k 0.7× 153 0.2× 869 1.3× 232 0.4× 340 0.6× 106 2.6k
David Wotton United States 33 5.5k 2.9× 194 0.2× 907 1.4× 340 0.6× 325 0.6× 72 6.7k

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-authorship network of co-authors of Dan E. Wells

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

All Works

20 of 20 papers shown
1.
Wells, Dan E., S. Alfarawati, Nada Kubikova, et al.. (2016). Evidence that differences between embryology laboratories can influence the rate of mitotic errors, leading to increased chromosomal mosaicism, with significant implications for IVF success rates. Human Reproduction. 31. 25–26. 3 indexed citations
2.
Konstantinidis, M., et al.. (2015). Human leukocyte antigen (HLA) matching of preimplantation embryos using a polymerase chain reaction (PCR) based methodology and karyomapping. Human Reproduction. 30. 402–402. 1 indexed citations
3.
Wells, Dan E., et al.. (2012). Characterisation of mechanisms causing oocyte aneuploidy reveals a flaw in embryo selection strategies based upon polar body chromosome screening. Human Reproduction. 27. 1 indexed citations
4.
Schuksz, Manuela, Eiki Koyama, Christina Mundy, et al.. (2011). Compound heterozygous loss of Ext1 and Ext2 is sufficient for formation of multiple exostoses in mouse ribs and long bones. Bone. 48(5). 979–987. 52 indexed citations
5.
Song, Wan, Daniel J. Stuckey, Emma Dyer, et al.. (2009). Mouse HCM Model Expression E99K ACTC Mutation Reproduces the Clinical HCM Phenotype. The Journal of General Physiology. 134. 1 indexed citations
6.
Wells, Dan E., et al.. (2000). Short Communication: Vgl Orthology in the Direct Developing Frog,Syrrhophus Cystignathoides Campi. DNA sequence. 11(5). 433–437. 1 indexed citations
7.
Shan, Xiaochuan, et al.. (1998). Characterization and Mapping to Human Chromosome 8q24.3 of Ly-6-Related Gene 9804 Encoding an Apparent Homologue of Mouse TSA-1. The Journal of Immunology. 160(1). 197–208. 25 indexed citations
8.
Taylor, A. Helen, et al.. (1997). Cell-cycle-specific transcription termination within the human histone H3.3 gene is correlated with specific protein–DNA interactions. Genetics Research. 69(2). 101–110. 8 indexed citations
9.
Chen, Wen‐Shan, Jiakai Hou, Michael J. Wagner, & Dan E. Wells. (1996). An Integrated Physical Map Covering 25 cM of Human Chromosome 8. Genomics. 32(1). 117–120. 10 indexed citations
10.
Kurimasa, Akihiro, Noriyuki Suzuki, Satoshi Kumano, et al.. (1995). Construction of 110 Cosmid Markers and a 4.5-Mb YAC Contig on Human Chromosome 8p12-q11. Genomics. 28(2). 147–153. 4 indexed citations
12.
Oshima, Junko, Chang-En Yu, Michael Boehnke, et al.. (1994). Integrated Mapping Analysis of the Werner Syndrome Region of Chromosome 8. Genomics. 23(1). 100–113. 21 indexed citations
13.
MacGrogan, Donal, Alina Levy, David G. Bostwick, et al.. (1994). Loss of chromosome arm 8p loci in prostate cancer: Mapping by quantitative allelic imbalance. Genes Chromosomes and Cancer. 10(3). 151–159. 151 indexed citations
14.
Tomfohrde, James, Stephen Wood, Michael Schertzer, et al.. (1992). Human chromosome 8 linkage map based on short tandem repeat polymorphisms: Effect of genotyping errors. Genomics. 14(1). 144–152. 59 indexed citations
15.
Ge, Ying, Michael Wagner, Michael J. Siciliano, & Dan E. Wells. (1992). Sequence, higher order repeat structure, and long-range organization of alpha satellite DNA specific to human chromosome 8. Genomics. 13(3). 585–593. 24 indexed citations
16.
Brown, Doris, April Cook, Michael Wagner, & Dan E. Wells. (1992). Closely linked H2B genes in the marine copepod,Tigriopus californicusindicate a recent gene duplication or gene conversion event. DNA sequence. 2(6). 387–396. 6 indexed citations
17.
Wagner, Michael, et al.. (1991). A hybrid cell mapping panel for regional localization of probes to human chromosome 8. Genomics. 10(1). 114–125. 58 indexed citations
18.
Brown, Doris, et al.. (1991). An H3-H4 histone gene pair in the marine copepod Tigriopus californicus , contains an intergenic dyad symmetry element. DNA sequence. 1(3). 197–206. 3 indexed citations
19.
Wells, Dan E. & John L. Herrmann. (1989). Functionally constrained codon usage in histone genes. International Journal of Biochemistry. 21(1). 1–6. 4 indexed citations
20.
Wells, Dan E., et al.. (1986). Maternal stores of α subtype histone mRNAs are not required for normal early development of sea urchin embryos. Development Genes and Evolution. 195(4). 252–258. 7 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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