Lian Ma

97 total papers · 1.9k total citations
47 papers, 584 citations indexed

About

Lian Ma is a scholar working on Genetics, Molecular Biology and Surgery. According to data from OpenAlex, Lian Ma has authored 47 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Genetics, 7 papers in Molecular Biology and 5 papers in Surgery. Recurrent topics in Lian Ma's work include Cleft Lip and Palate Research (32 papers), Craniofacial Disorders and Treatments (25 papers) and dental development and anomalies (6 papers). Lian Ma is often cited by papers focused on Cleft Lip and Palate Research (32 papers), Craniofacial Disorders and Treatments (25 papers) and dental development and anomalies (6 papers). Lian Ma collaborates with scholars based in China, United States and Hong Kong. Lian Ma's co-authors include Kimberly M. Fenn, Valter Ciocca, Alexander L. Francis, Bradley McPherson, Zhen Fu, Weiran Li, Yifan Lin, Andrew E. Czeizel, Mary L. Marazita and Joseph E. Losee and has published in prestigious journals such as PLoS ONE, Plastic & Reconstructive Surgery and American Journal of Orthodontics and Dentofacial Orthopedics.

In The Last Decade

Lian Ma

44 papers receiving 564 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lian Ma 315 156 125 83 76 47 584
William N. Williams 240 0.8× 58 0.4× 73 0.6× 40 0.5× 18 0.2× 50 569
Karlind T. Moller 443 1.4× 124 0.8× 26 0.2× 79 1.0× 110 1.4× 20 629
Ralph L. Shelton 250 0.8× 140 0.9× 55 0.4× 11 0.1× 190 2.5× 47 576
Julie D. White 132 0.4× 84 0.5× 130 1.0× 100 1.2× 70 0.9× 22 542
Eileen T. Dalston 366 1.2× 184 1.2× 31 0.2× 14 0.2× 51 0.7× 15 607
Antoinette Lamprecht-Dinnesen 53 0.2× 28 0.2× 176 1.4× 77 0.9× 49 0.6× 31 567
Erol Belgi̇n 71 0.2× 23 0.1× 292 2.3× 27 0.3× 112 1.5× 44 641
Freya Swinnen 160 0.5× 15 0.1× 313 2.5× 40 0.5× 40 0.5× 35 696
Adriane L. Baylis 510 1.6× 74 0.5× 19 0.2× 120 1.4× 52 0.7× 46 636
F. Calzolari 37 0.1× 59 0.4× 153 1.2× 19 0.2× 57 0.8× 28 503

Countries citing papers authored by Lian Ma

Since Specialization
Citations

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

Fields of papers citing papers by Lian Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lian Ma

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

All Works

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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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