Dai‐Dyi Town

804 citations
51 papers · 386 · h-index 12

Impact in

Papers in

Dai‐Dyi Town

50 papers receiving 340 citations

Peers

Dai‐Dyi Town
Comparison fields: 5 of 27
  • Pediatrics, Perinatology and Child Health 191
  • Genetics 212
  • Urology 12
  • Developmental Biology 4
  • Genetics 15
Replace Anne M. Bandholz with:
Anne M. Bandholz United States
N. Morichon-Delvallez France
Chen‐Wen Pan Taiwan
Drew Duckett United Kingdom
M. Barr United States
Beatrice Grimi Italy
Carolyn Trunca United States
Celia Donaghue United Kingdom
Regine Schubert Germany
C. Le Caignec France
Dai‐Dyi Town relative to Anne M. Bandholz United States Anne M. Bandholz's profile →
Citations per field
00.5×
Anne M. Bandholz · 1×
Citations per year

Countries citing papers authored by Dai‐Dyi Town

Since Specialization
Citations

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

Fields of papers citing papers by Dai‐Dyi Town

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dai‐Dyi Town. 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 Dai‐Dyi Town. The network helps show where Dai‐Dyi Town may publish in the future.

Co-authors

The 25 scholars most cited alongside Dai‐Dyi Town, 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 Dai‐Dyi Town Line = papers co-authored together Dai‐Dyi Town links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200634
2 200222
3 200421
4 201621
5 199820
6 201319
7 201918
8 201618
9 200516
10 201313
11 201312
12 201211
13 199911
14 201811
15 201410
16 201910
17 20169
18 20128
19 20218
20 20207

About Dai‐Dyi Town

Dai‐Dyi Town is a scholar working on Genetics, Pediatrics, Perinatology and Child Health, Surgery, Molecular Biology and Genetics, having authored 51 papers that have together received 386 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (22 papers), Genomic variations and chromosomal abnormalities (22 papers), Fetal and Pediatric Neurological Disorders (5 papers), Congenital Anomalies and Fetal Surgery (4 papers), Genetic Syndromes and Imprinting (2 papers), Chromosomal and Genetic Variations (2 papers), Gestational Trophoblastic Disease Studies (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (191 citations), Genetics (212 citations), Urology (12 citations), Developmental Biology (4 citations) and Genetics (15 citations). Dai‐Dyi Town has collaborated with scholars based in Taiwan. Frequent co-authors include Chih‐Ping Chen, Wayseen Wang, Schu‐Rern Chern, Chen‐Chi Lee, Peih-Shan Wu, Shin-Wen Chen, Jun-Wei Su, Chen‐Wen Pan, Fang-Tzu Wu and Chien-Wen Yang. Their work appears in journals such as Prenatal Diagnosis, Taiwanese Journal of Obstetrics and Gynecology, Gene, Ultrasound in Obstetrics and Gynecology and PubMed.

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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