Daisy Y. Shu

1.3k total citations · 1 hit paper
26 papers, 892 citations indexed

About

Daisy Y. Shu is a scholar working on Molecular Biology, Ophthalmology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Daisy Y. Shu has authored 26 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Ophthalmology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Daisy Y. Shu's work include Retinal Diseases and Treatments (8 papers), Connexins and lens biology (7 papers) and Corneal Surgery and Treatments (5 papers). Daisy Y. Shu is often cited by papers focused on Retinal Diseases and Treatments (8 papers), Connexins and lens biology (7 papers) and Corneal Surgery and Treatments (5 papers). Daisy Y. Shu collaborates with scholars based in Australia, United States and United Kingdom. Daisy Y. Shu's co-authors include Frank J. Lovicu, Magali Saint‐Geniez, Mariana Aparecida Brunini Rosales, Jared Iacovelli, Suman Chaudhary, David C. Thorn, Anton Lennikov, William P. Miller, Tina B. McKay and Kin‐Sang Cho and has published in prestigious journals such as Scientific Reports, The FASEB Journal and International Journal of Molecular Sciences.

In The Last Decade

Daisy Y. Shu

24 papers receiving 881 citations

Hit Papers

Myofibroblast transdifferentiation: The dark force in ocu... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers

Daisy Y. Shu
Comparison fields: 5 of 88
  • Molecular Biology 440
  • Ophthalmology 389
  • Radiology, Nuclear Medicine and Imaging 269
  • Cancer Research 95
  • Public Health, Environmental and Occupational Health 76
Replace Miłosz Kawa with:
Miłosz Kawa Poland
Yan-Nian Hui China
S. Kawahara Japan
Yukio Sassa Japan
Tsung‐Chuan Ho Taiwan
Tine Van Bergen Belgium
Felicitas Bucher Germany
Muneki Miura Japan
Lijie Dong China
Hiroto Obata Japan
Miłosz Kawa Poland View profile →
Citations per field, relative to Daisy Y. Shu
Daisy Y. Shu · 1×
Citations per year, relative to Daisy Y. Shu
Daisy Y. Shu · 1×

Countries citing papers authored by Daisy Y. Shu

Since Specialization
Citations

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

Fields of papers citing papers by Daisy Y. Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisy Y. Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Daisy Y. Shu. A scholar is included among the top collaborators of Daisy Y. Shu 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 Daisy Y. Shu. Daisy Y. Shu 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
# Work Indexed citations
1 0
2 0
3 1
4 1
5 63
6 12
7 11
8 33
9 37
10 11
11 187
12 29
13 37
14 25
15 26
16 6
17 34
18
Myofibroblast transdifferentiation: The dark force in ocular wound healing and fibrosis breakdown →
294
19 17
20 3

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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