Wakam Chang

30 total papers · 1.4k total citations
20 papers, 959 citations indexed

About

Wakam Chang is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Wakam Chang has authored 20 papers receiving a total of 959 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Cell Biology and 4 papers in Immunology. Recurrent topics in Wakam Chang's work include Nuclear Structure and Function (10 papers), RNA Research and Splicing (7 papers) and Cellular Mechanics and Interactions (5 papers). Wakam Chang is often cited by papers focused on Nuclear Structure and Function (10 papers), RNA Research and Splicing (7 papers) and Cellular Mechanics and Interactions (5 papers). Wakam Chang collaborates with scholars based in United States, Macao and China. Wakam Chang's co-authors include Gregg G. Gundersen, Howard J. Worman, Max E. Gottesman, Yinyin Li, Brian T. Chait, Jean Gautier, Tomás Aparicio, Benjamin R. Schrank, Susumu Antoku and Cecilia Östlund and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Wakam Chang

18 papers receiving 952 citations

Author Peers

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

Author Last Decade Papers Cites
Wakam Chang 762 434 80 54 52 20 959
Sadanori Watanabe 490 0.6× 465 1.1× 64 0.8× 56 1.0× 106 2.0× 15 798
Vlada Philimonenko 968 1.3× 349 0.8× 81 1.0× 47 0.9× 57 1.1× 24 1.2k
Assa Yeroslaviz 652 0.9× 288 0.7× 56 0.7× 72 1.3× 49 0.9× 16 881
Ian K. Buckley 370 0.5× 352 0.8× 80 1.0× 76 1.4× 55 1.1× 23 817
Elena Korenbaum 782 1.0× 485 1.1× 93 1.2× 49 0.9× 66 1.3× 22 1.1k
Veerle De Corte 635 0.8× 486 1.1× 44 0.6× 46 0.9× 108 2.1× 24 1.0k
Susumu Antoku 655 0.9× 464 1.1× 55 0.7× 39 0.7× 69 1.3× 20 916
Lisa L. Satterwhite 514 0.7× 447 1.0× 87 1.1× 31 0.6× 30 0.6× 20 935
M S Mooseker 418 0.5× 378 0.9× 149 1.9× 75 1.4× 48 0.9× 11 820
Brigitte Angres 692 0.9× 332 0.8× 73 0.9× 30 0.6× 81 1.6× 26 1.1k

Countries citing papers authored by Wakam Chang

Since Specialization
Citations

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

Fields of papers citing papers by Wakam Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wakam Chang

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