Nuo Si

873 citations
37 papers · 505 · h-index 12

Impact in

Papers in

    • Congenital heart defects research 4
    • Renal and related cancers 3
    • Nuclear Structure and Function 2
    • Congenital Ear and Nasal Anomalies 7
    • Genomic variations and chromosomal abnormalities 4
    • Genetic and Kidney Cyst Diseases 2

Nuo Si

34 papers receiving 500 citations

Peers

Nuo Si
Comparison fields: 5 of 68
  • Immunology 160
  • Dermatology 46
  • Molecular Biology 288
  • Rheumatology 60
  • Nephrology 28
Replace Guillaume Sarrabay with:
Guillaume Sarrabay France
Sofia Babay Israel
Ryan Schlimgen United States
Gönül Oğur Türkiye
Jill Claassens Netherlands
Kimiko Kasahara Japan
Gina A. Montealegre Sanchez United States
Seido Ooka Japan
Xingwen Dong United States
Nuo Si relative to Guillaume Sarrabay France Guillaume Sarrabay's profile →
Citations per field
00.5×1.5×2.3×
Guillaume Sarrabay · 1×
Citations per year

Countries citing papers authored by Nuo Si

Since Specialization
Citations

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

Fields of papers citing papers by Nuo Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nuo Si. 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 Nuo Si. The network helps show where Nuo Si may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011266
2 201323
3 201920
4 201817
5 201816
6 202015
7 201715
8 202014
9 201814
10 201913
11 201912
12 202111
13 20188
14 20216
15 20216
16 20216
17 20235
18 20195
19 20235
20 20233

About Nuo Si

Nuo Si is a scholar working on Molecular Biology, Genetics, Surgery, Genetics and Pulmonary and Respiratory Medicine, having authored 37 papers that have together received 505 indexed citations. Recurring topics across this work include Congenital Ear and Nasal Anomalies (7 papers), Reconstructive Facial Surgery Techniques (5 papers), Congenital heart defects research (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Tracheal and airway disorders (3 papers), Renal and related cancers (3 papers), Genetic and Kidney Cyst Diseases (2 papers) and Nuclear Structure and Function (2 papers). The work is most often cited by research in Immunology (160 citations), Dermatology (46 citations), Molecular Biology (288 citations), Rheumatology (60 citations) and Nephrology (28 citations). Nuo Si has collaborated with scholars based in China, Israel and United States. Frequent co-authors include Amy S. Paller, Chyi‐Chia Richard Lee, Xue Zhang, Afzal Sheikh, Yin Liu, Sofia Babay, Ángel Vera, Yuval Ramot, Antonio Torrelo and Raphaela Goldbach‐Mansky. Their work appears in journals such as Gene, Journal of Craniofacial Surgery, Journal of Translational Medicine, Orphanet Journal of Rare Diseases and Stem Cell Research.

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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