Cliburn Chan

1.7k total citations
56 papers, 855 citations indexed

About

Cliburn Chan is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Cliburn Chan has authored 56 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 17 papers in Immunology and 14 papers in Epidemiology. Recurrent topics in Cliburn Chan's work include Single-cell and spatial transcriptomics (15 papers), HIV Research and Treatment (11 papers) and Cytomegalovirus and herpesvirus research (11 papers). Cliburn Chan is often cited by papers focused on Single-cell and spatial transcriptomics (15 papers), HIV Research and Treatment (11 papers) and Cytomegalovirus and herpesvirus research (11 papers). Cliburn Chan collaborates with scholars based in United States, Germany and Denmark. Cliburn Chan's co-authors include Mike West, Jacob Frelinger, Andrew J.T. George, Kent J. Weinhold, Quanli Wang, Jaroslav Stark, Marc A. Suchard, Janet Ottinger, Thomas B. Kepler and Feng Feng and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Cliburn Chan

54 papers receiving 837 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cliburn Chan United States 15 303 221 181 132 123 56 855
Dhammika Amaratunga United States 13 486 1.6× 67 0.3× 201 1.1× 99 0.8× 47 0.4× 49 1.0k
Xiaojing Zheng United States 20 763 2.5× 253 1.1× 278 1.5× 80 0.6× 125 1.0× 67 1.5k
James E. Johndrow United States 10 302 1.0× 323 1.5× 197 1.1× 39 0.3× 125 1.0× 24 923
Anthony Almudevar United States 23 273 0.9× 150 0.7× 380 2.1× 54 0.4× 33 0.3× 81 1.4k
Pejman Mohammadi United States 19 1.1k 3.6× 219 1.0× 85 0.5× 111 0.8× 48 0.4× 35 1.8k
Alberto Giovanni Busetto Switzerland 10 223 0.7× 74 0.3× 37 0.2× 128 1.0× 48 0.4× 26 697
Peter Yang United States 11 242 0.8× 163 0.7× 113 0.6× 52 0.4× 37 0.3× 26 686
Juliane Liepe United Kingdom 22 1.1k 3.6× 613 2.8× 50 0.3× 78 0.6× 361 2.9× 45 1.6k
Anna V. Ivshina Singapore 17 748 2.5× 74 0.3× 94 0.5× 56 0.4× 233 1.9× 23 1.2k
Li Li Hsiao United States 7 679 2.2× 67 0.3× 58 0.3× 226 1.7× 91 0.7× 8 1.4k

Countries citing papers authored by Cliburn Chan

Since Specialization
Citations

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

Fields of papers citing papers by Cliburn Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cliburn Chan

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

All Works

20 of 20 papers shown
1.
Link, Katherine, et al.. (2024). Engagement in Care, Awareness, and Interest in Long-Acting Injectable Anti-Retroviral Therapy. AIDS and Behavior. 28(10). 3315–3325. 3 indexed citations
2.
Li, Leike, Cody S. Nelson, Richard Barfield, et al.. (2024). Multivalent cytomegalovirus glycoprotein B nucleoside modified mRNA vaccines did not demonstrate a greater antibody breadth. npj Vaccines. 9(1). 38–38. 8 indexed citations
3.
Valencia, Sarah, et al.. (2023). Mathematical Modeling of Rhesus Cytomegalovirus Transplacental Transmission in Seronegative Rhesus Macaques. Viruses. 15(10). 2040–2040. 1 indexed citations
4.
Tao, Yazhong, Derek M. Dykxhoorn, Felicia Ruffin, et al.. (2023). 307. Exploring HLA genotypes as contributing risk factors in Staphylococcus aureus bacteremia. Open Forum Infectious Diseases. 10(Supplement_2). 1 indexed citations
5.
Venturi, Guglielmo M., Bernard M. Fischer, Cliburn Chan, et al.. (2023). Biomarkers detected in cord blood predict vaccine responses in young infants. Frontiers in Immunology. 14. 1152538–1152538. 2 indexed citations
6.
Chan, Cliburn, et al.. (2023). Coarsened Mixtures of Hierarchical Skew Normal Kernels for Flow and Mass Cytometry Analyses. Bayesian Analysis. 19(2). 2 indexed citations
7.
Dennis, Maria, Sarah Valencia, Eleanor C. Semmes, et al.. (2022). Characterization of Plasma Immunoglobulin G Responses in Elite Neutralizers of Human Cytomegalovirus. The Journal of Infectious Diseases. 226(9). 1667–1677. 5 indexed citations
8.
SoRelle, Elliott D., Joanne Dai, Nicolás M. Reinoso-Vizcaíno, et al.. (2022). Time-resolved transcriptomes reveal diverse B cell fate trajectories in the early response to Epstein-Barr virus infection. Cell Reports. 40(9). 111286–111286. 31 indexed citations
9.
Masci, Anna Maria, S. M. White, Mary-Anne Ardini, et al.. (2021). Ontology-guided segmentation and object identification for developmental mouse lung immunofluorescent images. BMC Bioinformatics. 22(1). 82–82. 1 indexed citations
10.
Valencia, Sarah, Amit Kumar, Cliburn Chan, et al.. (2021). Pre-existing immunity to cytomegalovirus in macaques influences human CMV vaccine responses in preclinical models. Vaccine. 39(38). 5358–5367. 10 indexed citations
11.
Fries, Chelsea N., Jui‐Lin Chen, Maria Dennis, et al.. (2021). HIV envelope antigen valency on peptide nanofibers modulates antibody magnitude and binding breadth. Scientific Reports. 11(1). 14494–14494. 11 indexed citations
12.
Jenks, Jennifer A., Cody S. Nelson, Robert F. Pass, et al.. (2020). Antibody binding to native cytomegalovirus glycoprotein B predicts efficacy of the gB/MF59 vaccine in humans. Science Translational Medicine. 12(568). 32 indexed citations
13.
Shaw, Brian I., Hui‐Jie Lee, Cliburn Chan, et al.. (2020). Relationship between antithymocyte globulin, T cell phenotypes, and clinical outcomes in pediatric kidney transplantation. American Journal of Transplantation. 21(2). 766–775. 8 indexed citations
15.
Yi, John S., Janet Staats, Pearl Zakroysky, et al.. (2019). Establishment of normative ranges of the healthy human immune system with comprehensive polychromatic flow cytometry profiling. PLoS ONE. 14(12). e0225512–e0225512. 22 indexed citations
16.
Choi, Hae Woong, Cliburn Chan, Ivo Shterev, et al.. (2019). Identification of Novel Mast Cell Activators Using Cell-Based High-Throughput Screening. SLAS DISCOVERY. 24(6). 628–640. 9 indexed citations
17.
Snyder, Laurie D., Cliburn Chan, John S. Yi, et al.. (2015). Polyfunctional T-Cell Signatures to Predict Protection from Cytomegalovirus after Lung Transplantation. American Journal of Respiratory and Critical Care Medicine. 193(1). 78–85. 68 indexed citations
18.
Richards, Adam, Janet Staats, Katherine McKinnon, et al.. (2014). Setting objective thresholds for rare event detection in flow cytometry. Journal of Immunological Methods. 409. 54–61. 9 indexed citations
19.
Lin, Lin, et al.. (2013). Hierarchical Bayesian mixture modelling for antigen-specific T-cell subtyping in combinatorially encoded flow cytometry studies. Statistical Applications in Genetics and Molecular Biology. 12(3). 309–331. 10 indexed citations
20.
Gouttefangeas, Cécile, Jacob Frelinger, Lin Lin, et al.. (2013). Hierarchical Modeling for Rare Event Detection and Cell Subset Alignment across Flow Cytometry Samples. PLoS Computational Biology. 9(7). e1003130–e1003130. 57 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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