Robert C. Hsueh

1.4k total citations
16 papers, 965 citations indexed

About

Robert C. Hsueh is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Robert C. Hsueh has authored 16 papers receiving a total of 965 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 7 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Robert C. Hsueh's work include T-cell and B-cell Immunology (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Immune Response and Inflammation (3 papers). Robert C. Hsueh is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Immune Response and Inflammation (3 papers). Robert C. Hsueh collaborates with scholars based in United States and South Korea. Robert C. Hsueh's co-authors include Paul C. Sternweis, Richard H. Scheuermann, Dianne L. DeCamp, Iain D. C. Fraser, Madhusudan Natarajan, Keng-Mean Lin, Rama Ranganathan, Tamara I. A. Roach, Lily I. Jiang and Ronald Taussig 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

Robert C. Hsueh

16 papers receiving 948 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert C. Hsueh United States 12 630 257 168 152 80 16 965
Robert A. Rebres United States 10 613 1.0× 183 0.7× 156 0.9× 81 0.5× 90 1.1× 16 870
Christopher D. Kane United States 17 576 0.9× 143 0.6× 124 0.7× 113 0.7× 35 0.4× 31 956
Marijane Russell United States 19 1.2k 1.9× 152 0.6× 136 0.8× 207 1.4× 76 0.9× 26 1.6k
Paul Rose United States 17 634 1.0× 205 0.8× 124 0.7× 329 2.2× 90 1.1× 21 1.1k
Ichiro Kubota Japan 19 678 1.1× 107 0.4× 153 0.9× 248 1.6× 126 1.6× 39 1.3k
Sebastian Breuer Germany 15 749 1.2× 161 0.6× 268 1.6× 111 0.7× 171 2.1× 25 1.3k
Boaz Inbal Israel 8 1.0k 1.6× 143 0.6× 132 0.8× 192 1.3× 226 2.8× 8 1.4k
Patrick Schindler Switzerland 20 1.0k 1.6× 145 0.6× 144 0.9× 173 1.1× 113 1.4× 51 1.6k
Martin Augustin Germany 21 946 1.5× 122 0.5× 123 0.7× 171 1.1× 141 1.8× 48 1.4k
Evangelia Patsavoudi Greece 16 827 1.3× 244 0.9× 58 0.3× 123 0.8× 173 2.2× 25 1.0k

Countries citing papers authored by Robert C. Hsueh

Since Specialization
Citations

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

Fields of papers citing papers by Robert C. Hsueh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert C. Hsueh. 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 Robert C. Hsueh. The network helps show where Robert C. Hsueh may publish in the future.

Co-authorship network of co-authors of Robert C. Hsueh

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

All Works

16 of 16 papers shown
1.
Wall, Estelle A., Mi Sook Chang, Xiaocui Zhu, et al.. (2009). Suppression of LPS-Induced TNF-α Production in Macrophages by cAMP Is Mediated by PKA-AKAP95-p105. Science Signaling. 2(75). ra28–ra28. 156 indexed citations
2.
Hsueh, Robert C., Madhusudan Natarajan, Iain D. C. Fraser, et al.. (2009). Deciphering Signaling Outcomes from a System of Complex Networks. Science Signaling. 2(71). ra22–ra22. 27 indexed citations
3.
Jiang, Lily I., Julie Collins, Richard M. Davis, et al.. (2007). Use of a cAMP BRET Sensor to Characterize a Novel Regulation of cAMP by the Sphingosine 1-Phosphate/G13 Pathway. Journal of Biological Chemistry. 282(14). 10576–10584. 268 indexed citations
4.
Zhu, Xiaocui, Mi Sook Chang, Robert C. Hsueh, et al.. (2006). Dual Ligand Stimulation of RAW 264.7 Cells Uncovers Feedback Mechanisms That Regulate TLR-Mediated Gene Expression. The Journal of Immunology. 177(7). 4299–4310. 15 indexed citations
5.
Lee, Jamie A., Robert S. Sinkovits, Dennis Mock, et al.. (2006). Components of the antigen processing and presentation pathway revealed by gene expression microarray analysis following B cell antigen receptor (BCR) stimulation. BMC Bioinformatics. 7(1). 237–237. 29 indexed citations
6.
Natarajan, Madhusudan, Keng-Mean Lin, Robert C. Hsueh, Paul C. Sternweis, & Rama Ranganathan. (2006). A global analysis of cross-talk in a mammalian cellular signalling network. Nature Cell Biology. 8(6). 571–580. 170 indexed citations
7.
Milne, Stephen, Pavlina T. Ivanova, Dianne L. DeCamp, Robert C. Hsueh, & H. Alex Brown. (2005). A targeted mass spectrometric analysis of phosphatidylinositol phosphate species. Journal of Lipid Research. 46(8). 1796–1802. 91 indexed citations
8.
Hsueh, Robert C., Tamara I. A. Roach, Keng-Mean Lin, Heping Han, & Zhen Yan. (2002). Purification and Characterization of Mouse Splenic B Lymphocytes. 9 indexed citations
9.
Hsueh, Robert C., Adrienne M. Hammill, Jamie A. Lee, Jonathan W. Uhr, & Richard H. Scheuermann. (2002). Activation of the Syk tyrosine kinase is insufficient for downstream signal transduction in B lymphocytes. BMC Immunology. 3(1). 16–16. 9 indexed citations
10.
Sambrano, Gilberto R., Grischa Chandy, Sangdun Choi, et al.. (2002). Unravelling the signal-transduction network in B lymphocytes. Nature. 420(6916). 708–710. 19 indexed citations
11.
Hsueh, Robert C. & Richard H. Scheuermann. (2000). Tyrosine kinase activation in the decision between growth, differentiation, and death responses initiated from the B cell antigen receptor. Advances in immunology. 75. 283–316. 67 indexed citations
12.
Hsueh, Robert C., Adrienne M. Hammill, Radu Marcheş, J W Uhr, & Richard H. Scheuermann. (1999). Antigen Receptor Signaling Induces Differential Tyrosine Kinase Activation and Population Stability in B-Cell Lymphoma. Current topics in microbiology and immunology. 246. 299–305. 5 indexed citations
13.
Marcheş, Radu, Robert C. Hsueh, & Jonathan W. Uhr. (1999). Cancer dormancy and cell signaling: Induction of p21waf1initiated by membrane IgM engagement increases survival of B lymphoma cells. Proceedings of the National Academy of Sciences. 96(15). 8711–8715. 38 indexed citations
14.
Uhr, Jonathan W., Radu Marcheş, Emilian Racila, et al.. (1996). Role of Antibody Signaling in Inducing Tumor Dormancy. Advances in experimental medicine and biology. 406. 69–74. 8 indexed citations
15.
Racila, Emilian, Robert C. Hsueh, Radu Marcheş, et al.. (1996). Tumor dormancy and cell signaling: anti-mu-induced apoptosis in human B-lymphoma cells is not caused by an APO-1-APO-1 ligand interaction.. Proceedings of the National Academy of Sciences. 93(5). 2165–2168. 20 indexed citations
16.
Marcheş, Radu, Emilian Racila, Thomas F. Tucker, et al.. (1995). Tumour dormancy and cell signalling--III: Role of hypercrosslinking of IgM and CD40 on the induction of cell cycle arrest and apoptosis in B lymphoma cells.. PubMed. 2(3). 125–36. 34 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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