Wan Cheung Cheung

2.1k total citations · 1 hit paper
7 papers, 848 citations indexed

About

Wan Cheung Cheung is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Hematology. According to data from OpenAlex, Wan Cheung Cheung has authored 7 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Molecular Biology and 3 papers in Hematology. Recurrent topics in Wan Cheung Cheung's work include Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Multiple Myeloma Research and Treatments (3 papers). Wan Cheung Cheung is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Multiple Myeloma Research and Treatments (3 papers). Wan Cheung Cheung collaborates with scholars based in United States, France and Netherlands. Wan Cheung Cheung's co-authors include Roberto D. Polakiewicz, Jaime Darce, Liangping Peng, Siegfried Janz, Joong Su Kim, Jennifer Hom, Scott A. Jenks, Ron J. Feldman, Chungwen Wei and Christopher Fucile and has published in prestigious journals such as Science, Journal of Clinical Investigation and Nature Biotechnology.

In The Last Decade

Wan Cheung Cheung

7 papers receiving 841 citations

Hit Papers

Diversity, cellular origin and autoreactivity of antibody... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wan Cheung Cheung United States 7 513 280 204 157 148 7 848
Sambasiva P. Rao United States 12 803 1.6× 195 0.7× 188 0.9× 98 0.6× 122 0.8× 21 1.1k
Isabelle Isnardi United States 10 857 1.7× 186 0.7× 135 0.7× 135 0.9× 70 0.5× 11 1.0k
Tamara H. den Bleker Netherlands 6 252 0.5× 308 1.1× 444 2.2× 220 1.4× 91 0.6× 6 906
Sam Litwin United States 12 514 1.0× 208 0.7× 244 1.2× 55 0.4× 180 1.2× 26 945
Torsten Witte Germany 19 708 1.4× 127 0.5× 70 0.3× 207 1.3× 161 1.1× 50 965
Simone Kruithof Netherlands 14 393 0.8× 156 0.6× 342 1.7× 188 1.2× 81 0.5× 18 692
Meryn Griffiths United Kingdom 10 575 1.1× 159 0.6× 108 0.5× 143 0.9× 282 1.9× 13 868
Grete Sønderstrup United States 20 554 1.1× 282 1.0× 321 1.6× 266 1.7× 121 0.8× 30 1.1k
Paul Sakorafas United States 10 371 0.7× 517 1.8× 471 2.3× 104 0.7× 158 1.1× 15 996
Dennis A. Carson United States 12 277 0.5× 173 0.6× 176 0.9× 82 0.5× 68 0.5× 17 599

Countries citing papers authored by Wan Cheung Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Wan Cheung Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wan Cheung Cheung

This figure shows the co-authorship network connecting the top 25 collaborators of Wan Cheung Cheung. A scholar is included among the top collaborators of Wan Cheung Cheung 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 Wan Cheung Cheung. Wan Cheung Cheung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Davis, Carl W., Katherine Jackson, Megan McCausland, et al.. (2020). Influenza vaccine–induced human bone marrow plasma cells decline within a year after vaccination. Science. 370(6513). 237–241. 72 indexed citations
2.
Lohmueller, Jason, Shuji Sato, Lana Popova, et al.. (2016). Antibodies elicited by the first non-viral prophylactic cancer vaccine show tumor-specificity and immunotherapeutic potential. Scientific Reports. 6(1). 32 indexed citations
3.
Tipton, Christopher M., Christopher Fucile, Jaime Darce, et al.. (2015). Diversity, cellular origin and autoreactivity of antibody-secreting cell population expansions in acute systemic lupus erythematosus. Nature Immunology. 16(7). 755–765. 379 indexed citations breakdown →
4.
Cheung, Wan Cheung, Sean A. Beausoleil, Xiaowu Zhang, et al.. (2012). A proteomics approach for the identification and cloning of monoclonal antibodies from serum. Nature Biotechnology. 30(5). 447–452. 130 indexed citations
5.
Park, Sung Sup, Joong Su Kim, Lino Tessarollo, et al.. (2005). Insertion of c- Myc into Igh Induces B-Cell and Plasma-Cell Neoplasms in Mice. Cancer Research. 65(4). 1306–1315. 83 indexed citations
6.
Cheung, Wan Cheung, Joong Su Kim, Michael A. Linden, et al.. (2004). Novel targeted deregulation of c-Myc cooperates with Bcl-XL to cause plasma cell neoplasms in mice. Journal of Clinical Investigation. 113(12). 1763–1773. 79 indexed citations
7.
Cheung, Wan Cheung, Joong Su Kim, Michael A. Linden, et al.. (2004). Novel targeted deregulation of c-Myc cooperates with Bcl-XL to cause plasma cell neoplasms in mice. Journal of Clinical Investigation. 113(12). 1763–1773. 73 indexed citations

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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