Ying‐Nai Wang

110 total papers · 3.8k total citations
44 papers, 2.5k citations indexed

About

Ying‐Nai Wang is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Ying‐Nai Wang has authored 44 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 15 papers in Oncology and 10 papers in Cell Biology. Recurrent topics in Ying‐Nai Wang's work include RNA Research and Splicing (10 papers), HER2/EGFR in Cancer Research (6 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Ying‐Nai Wang is often cited by papers focused on RNA Research and Splicing (10 papers), HER2/EGFR in Cancer Research (6 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Ying‐Nai Wang collaborates with scholars based in United States, Taiwan and China. Ying‐Nai Wang's co-authors include Mien‐Chie Hung, Heng‐Huan Lee, Hirohito Yamaguchi, Jung-Mao Hsu, Wen‐Chang Chang, Jennifer L. Hsu, Hong-Jen Lee, Weiya Xia, Yun‐Ju Chen and Yi Du and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Ying‐Nai Wang

44 papers receiving 2.4k citations

Hit Papers

Removal of N-Linked Glyco... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Ying‐Nai Wang 1.6k 953 425 419 368 44 2.5k
Matthew V. Lorenzi 1.5k 0.9× 912 1.0× 420 1.0× 578 1.4× 365 1.0× 64 2.5k
Mari Iida 1.5k 0.9× 1.3k 1.4× 454 1.1× 618 1.5× 433 1.2× 62 2.8k
Richard Kendall 1.8k 1.1× 836 0.9× 324 0.8× 269 0.6× 474 1.3× 43 3.0k
Parthasarathy Seshacharyulu 1.7k 1.0× 1.1k 1.1× 432 1.0× 414 1.0× 591 1.6× 53 2.8k
Donna J. Hicks 1.3k 0.8× 667 0.7× 439 1.0× 189 0.5× 363 1.0× 33 2.2k
Imayavaramban Lakshmanan 1.4k 0.9× 953 1.0× 501 1.2× 288 0.7× 404 1.1× 43 2.2k
Geoffrey Bartholomeusz 2.0k 1.2× 1.1k 1.1× 229 0.5× 540 1.3× 480 1.3× 45 3.1k
Jennifer M. Giltnane 1.3k 0.8× 1.0k 1.1× 264 0.6× 406 1.0× 624 1.7× 49 2.2k
Yi Fan 1.3k 0.8× 663 0.7× 508 1.2× 237 0.6× 624 1.7× 63 2.3k
Mario Mancino 1.6k 1.0× 1.2k 1.3× 192 0.5× 569 1.4× 339 0.9× 34 2.7k

Countries citing papers authored by Ying‐Nai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ying‐Nai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying‐Nai Wang. 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 Ying‐Nai Wang. The network helps show where Ying‐Nai Wang may publish in the future.

Co-authorship network of co-authors of Ying‐Nai Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ying‐Nai Wang. A scholar is included among the top collaborators of Ying‐Nai Wang 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 Ying‐Nai Wang. Ying‐Nai Wang 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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