Chun-Yen Tsao

2.1k total citations
7 papers, 426 citations indexed

About

Chun-Yen Tsao is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chun-Yen Tsao has authored 7 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chun-Yen Tsao's work include Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Immunotherapy and Immune Responses (3 papers). Chun-Yen Tsao is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Immunotherapy and Immune Responses (3 papers). Chun-Yen Tsao collaborates with scholars based in United States, United Kingdom and Australia. Chun-Yen Tsao's co-authors include Robert Parks, Hua‐Xin Liao, Soldano Ferrone, James Szinger, David S. Quinn, Mark Muldoon, Will Fischer, Ruijin Zhang, Harikrishnan Balachandran and George N. Pavlakis and has published in prestigious journals such as Nature Medicine, The Journal of Immunology and Cancer Research.

In The Last Decade

Chun-Yen Tsao

7 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chun-Yen Tsao United States	6	248	247	211	85	75	7	426
Andrzej Wierzbicki United States	14	282 1.1×	205 0.8×	174 0.8×	49 0.6×	98 1.3×	17	505
Mark Melchers Netherlands	11	286 1.2×	230 0.9×	144 0.7×	59 0.7×	99 1.3×	17	519
Cassie Liu United States	8	343 1.4×	397 1.6×	195 0.9×	162 1.9×	196 2.6×	13	683
Matthew Woods Canada	13	168 0.7×	123 0.5×	250 1.2×	40 0.5×	83 1.1×	22	488
A G Laurent France	12	256 1.0×	247 1.0×	324 1.5×	72 0.8×	126 1.7×	15	633
Michael Kubitz United States	5	251 1.0×	198 0.8×	362 1.7×	221 2.6×	85 1.1×	8	591
A Sette United States	7	462 1.9×	57 0.2×	311 1.5×	212 2.5×	31 0.4×	8	649
Max Medina-Ramírez Netherlands	8	232 0.9×	166 0.7×	151 0.7×	85 1.0×	66 0.9×	9	395
Mariana Santa‐Marta Portugal	9	189 0.8×	407 1.6×	257 1.2×	78 0.9×	237 3.2×	12	615
Marc Potempa United States	10	200 0.8×	151 0.6×	129 0.6×	16 0.2×	126 1.7×	15	456

Countries citing papers authored by Chun-Yen Tsao

Since Specialization

Citations

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

Fields of papers citing papers by Chun-Yen Tsao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-Yen Tsao. 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 Chun-Yen Tsao. The network helps show where Chun-Yen Tsao may publish in the future.

Co-authorship network of co-authors of Chun-Yen Tsao

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

Chen, Yu‐Chi, Ming‐Chang Yang, Chi‐Sheng Shia, et al.. (2019). Abstract 4814: Specificity, biodistribution, tumor targeting, and pharmacokinetics of a novel humanized anti-Globo H antibody, OBI-888, for cancer immunotherapy. Cancer Research. 79(13_Supplement). 4814–4814. 1 indexed citations

Tsao, Chun-Yen, Francesco Sabbatino, Nai‐Kong V. Cheung, et al.. (2015). Anti-proliferative and pro-apoptotic activity of GD2 ganglioside-specific monoclonal antibody 3F8 in human melanoma cells. OncoImmunology. 4(8). e1023975–e1023975. 20 indexed citations

Bonsignori, Mattia, David C. Montefiori, Xueling Wu, et al.. (2012). Two Distinct Broadly Neutralizing Antibody Specificities of Different Clonal Lineages in a Single HIV-1-Infected Donor: Implications for Vaccine Design. Journal of Virology. 86(8). 4688–4692. 117 indexed citations

Santra, Sampa, Hua‐Xin Liao, Ruijin Zhang, et al.. (2010). Mosaic vaccines elicit CD8+ T lymphocyte responses that confer enhanced immune coverage of diverse HIV strains in monkeys. Nature Medicine. 16(3). 324–328. 185 indexed citations

Wondimu, Assefa, Tianqian Zhang, Thomas Kieber‐Emmons, et al.. (2007). Peptides mimicking GD2 ganglioside elicit cellular, humoral and tumor-protective immune responses in mice. Cancer Immunology Immunotherapy. 57(7). 1079–1089. 34 indexed citations

Kowalczyk, Aleksandra, Andrzej Wierzbicki, Piotr Rotkiewicz, et al.. (2005). DNA Vaccine Expressing the Mimotope of GD2 Ganglioside Induces Protective GD2 Cross-reactive Antibody Responses. Cancer Research. 65(8). 3410–3418. 50 indexed citations

Luo, Wei, Jeff Chi‐feng Hsu, Chun-Yen Tsao, et al.. (2005). Differential Immunogenicity of Two Peptides Isolated by High Molecular Weight-Melanoma-Associated Antigen-Specific Monoclonal Antibodies with Different Affinities. The Journal of Immunology. 174(11). 7104–7110. 19 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.

Explore authors with similar magnitude of impact