Shaohua Ma

61 total papers · 636 total citations
33 papers, 445 citations indexed

About

Shaohua Ma is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Shaohua Ma has authored 33 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pulmonary and Respiratory Medicine, 10 papers in Surgery and 10 papers in Molecular Biology. Recurrent topics in Shaohua Ma's work include Lung Cancer Diagnosis and Treatment (11 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Esophageal Cancer Research and Treatment (5 papers). Shaohua Ma is often cited by papers focused on Lung Cancer Diagnosis and Treatment (11 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Esophageal Cancer Research and Treatment (5 papers). Shaohua Ma collaborates with scholars based in China, United States and Ethiopia. Shaohua Ma's co-authors include Ke‐Neng Chen, Luyan Shen, Lixiang Xue, Yahong Chen, Siwang Yu, Jing Zhang, Jianling Yang, Zihan Pan, Tiansheng Yan and Jing Fan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Free Radical Biology and Medicine.

In The Last Decade

Shaohua Ma

32 papers receiving 441 citations

Hit Papers

Hydrogen sulfide alleviat... 2022 2026 2023 2024 2022 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Shaohua Ma 218 183 106 101 81 33 445
Yadong Wang 175 0.8× 142 0.8× 106 1.0× 101 1.0× 75 0.9× 46 469
Ziling Huang 166 0.8× 168 0.9× 98 0.9× 82 0.8× 40 0.5× 27 391
Elaine M. Walsh 144 0.7× 129 0.7× 131 1.2× 117 1.2× 51 0.6× 25 436
I. Tovar 53 0.2× 228 1.2× 130 1.2× 82 0.8× 64 0.8× 28 471
Anna Mucha-Małecka 119 0.5× 143 0.8× 90 0.8× 166 1.6× 73 0.9× 46 457
Xiaojian Qin 247 1.1× 166 0.9× 141 1.3× 125 1.2× 45 0.6× 38 448
Masaru Ishida 154 0.7× 157 0.9× 54 0.5× 106 1.0× 194 2.4× 27 438
Zhenlei Zha 260 1.2× 87 0.5× 90 0.8× 64 0.6× 121 1.5× 19 419
Jönsson Pe 75 0.3× 119 0.7× 86 0.8× 218 2.2× 98 1.2× 38 490
Riccardo Leni 261 1.2× 80 0.4× 72 0.7× 77 0.8× 91 1.1× 26 466

Countries citing papers authored by Shaohua Ma

Since Specialization
Citations

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

Fields of papers citing papers by Shaohua Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaohua Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Shaohua Ma. A scholar is included among the top collaborators of Shaohua 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 Shaohua Ma. Shaohua 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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