Claire Y. Oh

429 total citations
8 papers, 313 citations indexed

About

Claire Y. Oh is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Claire Y. Oh has authored 8 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Claire Y. Oh's work include CAR-T cell therapy research (5 papers), Immunotherapy and Immune Responses (4 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Claire Y. Oh is often cited by papers focused on CAR-T cell therapy research (5 papers), Immunotherapy and Immune Responses (4 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Claire Y. Oh collaborates with scholars based in United States and Australia. Claire Y. Oh's co-authors include David A. Scheinberg, Aaron Y. Chang, Elliott J. Brea, Ron S. Gejman, Tao Dao, Casey A. Jarvis, Patrizia Mondello, Emily Casey, Dmitry Pankov and Tatyana Korontsvit and has published in prestigious journals such as Cancer Immunology Research, OncoImmunology and Expert Opinion on Biological Therapy.

In The Last Decade

Claire Y. Oh

8 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Claire Y. Oh United States	7	225	187	99	67	29	8	313
Lea Lowenfeld United States	9	251 1.1×	214 1.1×	72 0.7×	51 0.8×	55 1.9×	19	362
Ming Gu China	7	250 1.1×	206 1.1×	84 0.8×	23 0.3×	46 1.6×	12	381
Andrea Lazzeri Italy	4	294 1.3×	176 0.9×	56 0.6×	60 0.9×	39 1.3×	4	341
Tarsem Moudgil United States	7	207 0.9×	173 0.9×	62 0.6×	18 0.3×	19 0.7×	10	278
Yuki Muroyama United States	5	241 1.1×	181 1.0×	50 0.5×	32 0.5×	52 1.8×	10	330
Mikiya Ishihara Japan	8	146 0.6×	100 0.5×	65 0.7×	20 0.3×	36 1.2×	35	234
Jenny Lazarus United States	7	254 1.1×	162 0.9×	121 1.2×	20 0.3×	46 1.6×	11	348
Koji Nagaoka Japan	12	241 1.1×	228 1.2×	122 1.2×	20 0.3×	59 2.0×	27	385
Kevin Schifferli United States	7	78 0.3×	85 0.5×	74 0.7×	69 1.0×	16 0.6×	12	217
Lucas Blanchard United States	4	180 0.8×	195 1.0×	100 1.0×	23 0.3×	29 1.0×	9	307

Countries citing papers authored by Claire Y. Oh

Since Specialization

Citations

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

Fields of papers citing papers by Claire Y. Oh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claire Y. Oh. 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 Claire Y. Oh. The network helps show where Claire Y. Oh may publish in the future.

Co-authorship network of co-authors of Claire Y. Oh

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

All Works

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8 of 8 papers shown

1.

Haeusler, Hank, et al.. (2021). (Computationally) designing out waste: Developing a computational design workflow for minimising construction and demolition waste in early-stage architectural design. International Journal of Architectural Computing. 19(4). 594–611. 5 indexed citations

2.

Gejman, Ron S., Martin G. Klatt, Aaron Y. Chang, et al.. (2020). Identification of the Targets of T-cell Receptor Therapeutic Agents and Cells by Use of a High-Throughput Genetic Platform. Cancer Immunology Research. 8(5). 672–684. 26 indexed citations

3.

Oh, Claire Y., Martin G. Klatt, Christopher M. Bourne, et al.. (2019). ALK and RET Inhibitors Promote HLA Class I Antigen Presentation and Unmask New Antigens within the Tumor Immunopeptidome. Cancer Immunology Research. 7(12). 1984–1997. 31 indexed citations

4.

Dao, Tao, Andrew Scott, Casey A. Jarvis, et al.. (2019). Depleting T regulatory cells by targeting intracellular Foxp3 with a TCR mimic antibody. OncoImmunology. 8(7). e1570778–e1570778. 21 indexed citations

5.

Brea, Elliott J., Claire Y. Oh, Eusebio Manchado, et al.. (2016). Kinase Regulation of Human MHC Class I Molecule Expression on Cancer Cells. Cancer Immunology Research. 4(11). 936–947. 128 indexed citations

6.

Chang, Aaron Y., Ron S. Gejman, Elliott J. Brea, et al.. (2016). Opportunities and challenges for TCR mimic antibodies in cancer therapy. Expert Opinion on Biological Therapy. 16(8). 979–987. 46 indexed citations

7.

Dao, Tao, Tatyana Korontsvit, Victoria Zakhaleva, et al.. (2016). An immunogenic WT1-derived peptide that induces T cell response in the context of HLA-A*02:01 and HLA-A*24:02 molecules. OncoImmunology. 6(2). e1252895–e1252895. 20 indexed citations

8.

Dubrovsky, Leonid, Tao Dao, Ron S. Gejman, et al.. (2015). T cell receptor mimic antibodies for cancer therapy. OncoImmunology. 5(1). e1049803–e1049803. 36 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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