Brian Yeung

1.1k total citations
10 papers, 822 citations indexed

About

Brian Yeung is a scholar working on Genetics, Immunology and Cognitive Neuroscience. According to data from OpenAlex, Brian Yeung has authored 10 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Immunology and 2 papers in Cognitive Neuroscience. Recurrent topics in Brian Yeung's work include Diabetes and associated disorders (5 papers), Immune Cell Function and Interaction (5 papers) and T-cell and B-cell Immunology (4 papers). Brian Yeung is often cited by papers focused on Diabetes and associated disorders (5 papers), Immune Cell Function and Interaction (5 papers) and T-cell and B-cell Immunology (4 papers). Brian Yeung collaborates with scholars based in United States, Canada and United Kingdom. Brian Yeung's co-authors include Nora Sarvetnick, Marika Falcone, Jae Lee, Joanna D. Davies, Enrique Rodrı́guez, Troy Krahl, Eric O’Connor, Myung‐Shik Lee, Regula Mueller and Charles M. King and has published in prestigious journals such as The Journal of Experimental Medicine, Immunity and The Journal of Immunology.

In The Last Decade

Brian Yeung

10 papers receiving 806 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian Yeung United States	8	465	358	184	173	158	10	822
Audrey Baeyens France	13	691 1.5×	238 0.7×	220 1.2×	134 0.8×	129 0.8×	16	999
Thomas Kaido United States	16	245 0.5×	253 0.7×	430 2.3×	343 2.0×	150 0.9×	23	966
Tali Feferman Israel	18	387 0.8×	115 0.3×	301 1.6×	50 0.3×	210 1.3×	34	1.0k
Manami Itoi Japan	16	498 1.1×	80 0.2×	317 1.7×	52 0.3×	215 1.4×	20	930
Hjalte List Larsen Denmark	10	128 0.3×	207 0.6×	316 1.7×	230 1.3×	268 1.7×	13	820
Jeremy P. Springhorn United States	13	172 0.4×	134 0.4×	444 2.4×	181 1.0×	101 0.6×	17	936
Sara Nouri Australia	11	270 0.6×	147 0.4×	221 1.2×	57 0.3×	48 0.3×	16	664
Ying Xim Tan China	11	1.1k 2.4×	144 0.4×	275 1.5×	73 0.4×	441 2.8×	21	1.5k
Kowser Hasneen United States	12	168 0.4×	94 0.3×	486 2.6×	134 0.8×	50 0.3×	16	860
B B Wardell United States	8	129 0.3×	203 0.6×	210 1.1×	116 0.7×	49 0.3×	10	603

Countries citing papers authored by Brian Yeung

Since Specialization

Citations

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

Fields of papers citing papers by Brian Yeung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Yeung

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Yeung. A scholar is included among the top collaborators of Brian Yeung 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 Brian Yeung. Brian Yeung 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:

10 of 10 papers shown

1.

Kagoya, Yuki, Tingxi Guo, Brian Yeung, et al.. (2020). Genetic Ablation of HLA Class I, Class II, and the T-cell Receptor Enables Allogeneic T Cells to Be Used for Adoptive T-cell Therapy. Cancer Immunology Research. 8(7). 926–936. 126 indexed citations

2.

Myers, Brad A., et al.. (2002). Using handhelds to help people with motor impairments. Figshare. 89–96. 22 indexed citations

3.

Myers, Brad A., et al.. (2002). Using handhelds to help people with motor impairments. 3 indexed citations

4.

Falcone, Marika, et al.. (2001). IL-4 Triggers Autoimmune Diabetes by Increasing Self-Antigen Presentation within the Pancreatic Islets. Clinical Immunology. 98(2). 190–199. 30 indexed citations

5.

Krakowski, Michelle, Brian Yeung, Beatriz Sosa‐Pineda, et al.. (2000). IFN-?? Overexpression Within the Pancreas Is Not Sufficient to Rescue Pax4, Pax6, and Pdx-1 Mutant Mice from Death. Pancreas. 21(4). 399–406. 4 indexed citations

6.

Falcone, Marika, et al.. (1999). A Defect in Interleukin 12–Induced Activation and Interferon γ Secretion of Peripheral Natural Killer T Cells in Nonobese Diabetic Mice Suggests New Pathogenic Mechanisms for Insulin-Dependent Diabetes Mellitus. The Journal of Experimental Medicine. 190(7). 963–972. 116 indexed citations

7.

Falcone, Marika, et al.. (1998). B Lymphocytes Are Crucial Antigen-Presenting Cells in the Pathogenic Autoimmune Response to GAD65 Antigen in Nonobese Diabetic Mice. The Journal of Immunology. 161(3). 1163–1168. 208 indexed citations

8.

King, Charles M., Joanna D. Davies, Regula Mueller, et al.. (1998). TGF-β1 Alters APC Preference, Polarizing Islet Antigen Responses toward a Th2 Phenotype. Immunity. 8(5). 601–613. 152 indexed citations

9.

Balasa, Balaji, et al.. (1998). IL-10 Impacts Autoimmune Diabetes Via a CD8+ T Cell Pathway Circumventing the Requirement for CD4+ T and B Lymphocytes. The Journal of Immunology. 161(8). 4420–4427. 51 indexed citations

10.

Foster, Leonard J., et al.. (1998). Binary Interactions of the SNARE Proteins Syntaxin-4, SNAP23, and VAMP-2 and Their Regulation by Phosphorylation. Biochemistry. 37(31). 11089–11096. 110 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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