Shujia Dai

38 total papers · 1.6k total citations
29 papers, 1.1k citations indexed

About

Shujia Dai is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Spectroscopy. According to data from OpenAlex, Shujia Dai has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Spectroscopy. Recurrent topics in Shujia Dai's work include Protein purification and stability (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Mass Spectrometry Techniques and Applications (4 papers). Shujia Dai is often cited by papers focused on Protein purification and stability (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Mass Spectrometry Techniques and Applications (4 papers). Shujia Dai collaborates with scholars based in United States, China and France. Shujia Dai's co-authors include Barry L. Karger, Zhaohui Sunny Zhou, Shiaw‐Lin Wu, William S. Hancock, Tianzhu Zang, Haitao Jiang, Bobby W.K. Lee, Qiaozhen Lu, Yun Cai and Xiaohong Qian and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Analytical Chemistry.

In The Last Decade

Shujia Dai

29 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Shujia Dai 683 288 186 137 137 29 1.1k
LeeAnn Higgins 771 1.1× 245 0.9× 153 0.8× 155 1.1× 68 0.5× 39 1.4k
João Meireles Ribeiro 785 1.1× 90 0.3× 164 0.9× 206 1.5× 54 0.4× 47 1.2k
Shawna Hengel 614 0.9× 374 1.3× 99 0.5× 203 1.5× 159 1.2× 29 984
Melanie Y. White 785 1.1× 315 1.1× 103 0.6× 95 0.7× 66 0.5× 39 1.2k
Marlène Marcellin 591 0.9× 333 1.2× 154 0.8× 94 0.7× 34 0.2× 25 998
Andrew W. Guzzetta 748 1.1× 237 0.8× 200 1.1× 105 0.8× 132 1.0× 19 1.2k
Fabio Talamo 802 1.2× 96 0.3× 136 0.7× 107 0.8× 73 0.5× 28 1.2k
Caiping Tian 680 1.0× 81 0.3× 159 0.9× 133 1.0× 67 0.5× 28 1.3k
Ten‐Yang Yen 743 1.1× 251 0.9× 116 0.6× 99 0.7× 96 0.7× 36 1.1k
Tammy‐Lynn Tremblay 607 0.9× 172 0.6× 83 0.4× 79 0.6× 64 0.5× 28 1.0k

Countries citing papers authored by Shujia Dai

Since Specialization
Citations

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

Fields of papers citing papers by Shujia Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shujia Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Shujia Dai. A scholar is included among the top collaborators of Shujia Dai 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 Shujia Dai. Shujia Dai 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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2026