Dan Y. Wu

1.3k total citations · 1 hit paper
7 papers, 993 citations indexed

About

Dan Y. Wu is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Dan Y. Wu has authored 7 papers receiving a total of 993 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Hematology. Recurrent topics in Dan Y. Wu's work include DNA and Nucleic Acid Chemistry (2 papers), Molecular Biology Techniques and Applications (2 papers) and Hemoglobinopathies and Related Disorders (2 papers). Dan Y. Wu is often cited by papers focused on DNA and Nucleic Acid Chemistry (2 papers), Molecular Biology Techniques and Applications (2 papers) and Hemoglobinopathies and Related Disorders (2 papers). Dan Y. Wu collaborates with scholars based in United States, Taiwan and Italy. Dan Y. Wu's co-authors include R. Bruce Wallace, Luis Ugozzoli, B K Pal, Jin Qian, Brenda J. Conner, G. Nozari, Yuan-Teh Lee, June H. Wu, Ling-Ling Hsieh and Ming‐Shyan Chern and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Gene.

In The Last Decade

Dan Y. Wu

7 papers receiving 934 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Allele-specific enzymatic amplification of beta-globin genomic DNA for diagnosis of sickle cell anemia.

1989 525 citations Dan Y. Wu, Luis Ugozzoli et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dan Y. Wu United States	5	653	185	89	84	78	7	993
Steven R. Williams United States	18	597 0.9×	252 1.4×	219 2.5×	92 1.1×	36 0.5×	25	1.0k
Daniel Kacian United States	15	708 1.1×	187 1.0×	134 1.5×	138 1.6×	67 0.9×	23	1.1k
Jana Kent United States	6	326 0.5×	96 0.5×	74 0.8×	77 0.9×	22 0.3×	7	649
Jesse Montgomery United States	8	322 0.5×	82 0.4×	56 0.6×	81 1.0×	30 0.4×	11	576
Chi Nam Ignatius Pang Australia	17	654 1.0×	180 1.0×	102 1.1×	46 0.5×	21 0.3×	42	1.0k
Malini Varadarajan United States	7	736 1.1×	170 0.9×	41 0.5×	40 0.5×	30 0.4×	8	943
Jean Marie Rouillard United States	12	625 1.0×	108 0.6×	96 1.1×	91 1.1×	18 0.2×	20	809
Peter Stanley United Kingdom	15	471 0.7×	286 1.5×	122 1.4×	23 0.3×	36 0.5×	17	1.1k
Robert L. Millette United States	14	558 0.9×	215 1.2×	133 1.5×	34 0.4×	25 0.3×	25	796
Thérèsa L. Coetzer South Africa	22	373 0.6×	107 0.6×	38 0.4×	39 0.5×	109 1.4×	71	1.3k

Countries citing papers authored by Dan Y. Wu

Since Specialization

Citations

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

Fields of papers citing papers by Dan Y. Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Y. Wu

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

All Works

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7 of 7 papers shown

1.

Sekaran, Nishant K., et al.. (2010). Comparison of the Veterans Affairs Oncology Registry and the SEER Cancer Registry among patients with lung cancer.. Journal of Clinical Oncology. 28(15_suppl). 6056–6056. 1 indexed citations

2.

Wu, June H., Yuan-Teh Lee, Ling-Ling Hsieh, et al.. (2001). Further Characterization of Apolipoprotein B Genetic Variations in Taiwanese. Human Biology. 73(3). 451–460. 4 indexed citations

3.

Wu, Dan Y., et al.. (1991). The Effect of Temperature and Oligonucleotide Primer Length on the Specificity and Efficiency of Amplification by the Polymerase Chain Reaction. DNA and Cell Biology. 10(3). 233–238. 134 indexed citations

4.

Wu, Dan Y., et al.. (1989). Direct Analysis of Single Nucleotide Variation in Human DNA and RNA Using In Situ Dot Hybridization. DNA. 8(2). 135–142. 16 indexed citations

5.

Wu, Dan Y. & R. Bruce Wallace. (1989). Specificity of the nick-closing activity of bacteriophage T4 DNA ligase. Gene. 76(2). 245–254. 137 indexed citations

6.

Wu, Dan Y. & R. Bruce Wallace. (1989). The ligation amplification reaction (LAR)—Amplification of specific DNA sequences using sequential rounds of template-dependent ligation. Genomics. 4(4). 560–569. 176 indexed citations

7.

Wu, Dan Y., Luis Ugozzoli, B K Pal, & R. Bruce Wallace. (1989). Allele-specific enzymatic amplification of beta-globin genomic DNA for diagnosis of sickle cell anemia.. Proceedings of the National Academy of Sciences. 86(8). 2757–2760. 525 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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