Anita E. Yu

12 total papers · 1.1k total citations
8 papers, 877 citations indexed

About

Anita E. Yu is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Anita E. Yu has authored 8 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Cell Biology. Recurrent topics in Anita E. Yu's work include Protease and Inhibitor Mechanisms (4 papers), Hemoglobin structure and function (4 papers) and Peptidase Inhibition and Analysis (4 papers). Anita E. Yu is often cited by papers focused on Protease and Inhibitor Mechanisms (4 papers), Hemoglobin structure and function (4 papers) and Peptidase Inhibition and Analysis (4 papers). Anita E. Yu collaborates with scholars based in United States. Anita E. Yu's co-authors include William G. Stetler‐Stevenson, Judith N. Burstyn, Elizabeth A. Dierks, Thomas G. Spiro, Songzhou Hu, Robert E. Hewitt, David E. Kleiner, John H. Dawson, Kathleen M. Vogel and Donald Hupe and has published in prestigious journals such as Journal of the American Chemical Society, Biochemistry and Seminars in Cancer Biology.

In The Last Decade

Anita E. Yu

8 papers receiving 861 citations

Author Peers

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

Author Last Decade Papers Cites
Anita E. Yu 385 335 290 191 170 8 877
Christine Prébois 525 1.4× 310 0.9× 187 0.6× 182 1.0× 124 0.7× 13 988
Steven D. Mason 456 1.2× 381 1.1× 320 1.1× 114 0.6× 191 1.1× 9 1.0k
Xavier Canron 614 1.6× 136 0.4× 285 1.0× 117 0.6× 49 0.3× 12 879
Peter V. E. van den Berghe 363 0.9× 75 0.2× 283 1.0× 222 1.2× 45 0.3× 8 875
Sabine Brüsselbach 702 1.8× 185 0.6× 407 1.4× 142 0.7× 92 0.5× 22 1.0k
Troii Hall 619 1.6× 139 0.4× 208 0.7× 100 0.5× 51 0.3× 24 937
Graziella Persico 787 2.0× 165 0.5× 202 0.7× 150 0.8× 35 0.2× 12 1.0k
Catherine Oppenheimer 593 1.5× 211 0.6× 66 0.2× 104 0.5× 105 0.6× 15 1.0k
Z. Chen 442 1.1× 309 0.9× 69 0.2× 64 0.3× 55 0.3× 17 751
Françoise Frérart 466 1.2× 363 1.1× 109 0.4× 118 0.6× 163 1.0× 10 952

Countries citing papers authored by Anita E. Yu

Since Specialization
Citations

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

Fields of papers citing papers by Anita E. Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anita E. Yu. 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 Anita E. Yu. The network helps show where Anita E. Yu may publish in the future.

Co-authorship network of co-authors of Anita E. Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Anita E. Yu. A scholar is included among the top collaborators of Anita E. Yu 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 Anita E. Yu. Anita E. Yu 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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