Lan Dao

1.1k total citations
4 papers, 32 citations indexed

About

Lan Dao is a scholar working on Surgery, Molecular Biology and Rehabilitation. According to data from OpenAlex, Lan Dao has authored 4 papers receiving a total of 32 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Surgery, 1 paper in Molecular Biology and 1 paper in Rehabilitation. Recurrent topics in Lan Dao's work include Breast Implant and Reconstruction (2 papers), Reconstructive Surgery and Microvascular Techniques (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Lan Dao is often cited by papers focused on Breast Implant and Reconstruction (2 papers), Reconstructive Surgery and Microvascular Techniques (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Lan Dao collaborates with scholars based in Canada and Türkiye. Lan Dao's co-authors include Michel Alain Danino, Johnny Ionut Efanov, Joseph Bou‐Merhi, Monica Nelea, Ali Rıza Şişman, Mustafa Emiroğlu, Yeliz Pekçevik and Joseph Cohen and has published in prestigious journals such as Plastic & Reconstructive Surgery, British Journal of Radiology and Burns.

In The Last Decade

Lan Dao

4 papers receiving 31 citations

Peers

Lan Dao
Ilse Khouw Netherlands
Humaira Shah Pakistan
E MacInnes United Kingdom
Na Zhou China
Lan Dao
Citations per year, relative to Lan Dao Lan Dao (= 1×) peers Maria Milanova

Countries citing papers authored by Lan Dao

Since Specialization
Citations

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

Fields of papers citing papers by Lan Dao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lan Dao

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

All Works

4 of 4 papers shown
1.
Pekçevik, Yeliz, et al.. (2022). The effect of an artificial intelligence algorithm on chest X-ray interpretation of radiology residents. British Journal of Radiology. 95(1139). 3 indexed citations
2.
Danino, Michel Alain, et al.. (2020). Analysis of Allergan’s Biocell Implant Recall in a Major University Breast Center. Plastic & Reconstructive Surgery Global Open. 8(6). e2906–e2906. 5 indexed citations
4.
Danino, Michel Alain, et al.. (2019). Preliminary Results Supporting the Bacterial Hypothesis in Red Breast Syndrome following Postmastectomy Acellular Dermal Matrix– and Implant-Based Reconstructions. Plastic & Reconstructive Surgery. 144(6). 988e–992e. 12 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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