Beiying Dai

547 total citations
9 papers, 168 citations indexed

About

Beiying Dai is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Beiying Dai has authored 9 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Molecular Biology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Beiying Dai's work include CAR-T cell therapy research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Cancer, Stress, Anesthesia, and Immune Response (2 papers). Beiying Dai is often cited by papers focused on CAR-T cell therapy research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Cancer, Stress, Anesthesia, and Immune Response (2 papers). Beiying Dai collaborates with scholars based in China, Argentina and Macao. Beiying Dai's co-authors include Lutz Birnbaumer, Guilai Liu, Md Amir Hossain, Junaid Wazir, Yong Yang, Tabea Erdmann, Georg Lenz, Wolfgang E. Berdel, Hui Tang and Zi‐Jing Xiao and has published in prestigious journals such as Cancer Research, Journal of Medicinal Chemistry and European Journal of Pharmacology.

In The Last Decade

Beiying Dai

8 papers receiving 164 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Beiying Dai China	5	74	55	54	34	22	9	168
Rachael B. Rowswell-Turner United States	9	69 0.9×	47 0.9×	114 2.1×	19 0.6×	21 1.0×	15	217
Chelsea Grimes United States	5	109 1.5×	40 0.7×	42 0.8×	19 0.6×	20 0.9×	6	150
Wendy Bindeman United States	5	137 1.9×	69 1.3×	142 2.6×	19 0.6×	36 1.6×	10	264
Hongyan Huang China	6	130 1.8×	122 2.2×	120 2.2×	17 0.5×	25 1.1×	8	271
Roberta Buonincontri Italy	5	138 1.9×	61 1.1×	137 2.5×	21 0.6×	28 1.3×	11	280
Devora Delman United States	6	72 1.0×	91 1.7×	44 0.8×	15 0.4×	16 0.7×	8	188
Sook Kyung South Korea	8	104 1.4×	105 1.9×	35 0.6×	18 0.5×	65 3.0×	29	229
Nathalie Dhomen United Kingdom	3	110 1.5×	35 0.6×	84 1.6×	9 0.3×	16 0.7×	6	154
Megumi Aoki Japan	9	253 3.4×	67 1.2×	122 2.3×	9 0.3×	73 3.3×	27	349
Alejandra G. Serrano United States	3	28 0.4×	39 0.7×	22 0.4×	9 0.3×	8 0.4×	5	92

Countries citing papers authored by Beiying Dai

Since Specialization

Citations

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

Fields of papers citing papers by Beiying Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beiying Dai

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

All Works

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9 of 9 papers shown

1.

Cao, Qiuhua, Mingrui Zhao, Siliang Liu, et al.. (2024). Chronic Stress Dampens Lactobacillus Johnsonii –Mediated Tumor Suppression to Enhance Colorectal Cancer Progression. Cancer Research. 84(5). 771–784. 15 indexed citations

2.

Gu, Congying, J. Wang, Kang Xu, et al.. (2024). Discovery of Novel 2-Oxoacetamide Derivatives as B3GAT3 Inhibitors for the Treatment of Hepatocellular Carcinoma. Journal of Medicinal Chemistry. 67(13). 10743–10773. 1 indexed citations

3.

Dai, Beiying, Xiaodong Li, Yixin Zhang, et al.. (2024). RAPSYN-mediated neddylation of BCR-ABL alternatively determines the fate of Philadelphia chromosome-positive leukemia. eLife. 12. 1 indexed citations

4.

Dai, Beiying, Xiaodong Li, Yixin Zhang, et al.. (2023). RAPSYN-mediated neddylation of BCR-ABL alternatively determines the fate of Philadelphia chromosome-positive leukemia. eLife. 12.

5.

Lin, Yanting, Zhenhua Gao, Ran Bi, et al.. (2023). Beta-adrenergic receptor blocker propranolol triggers anti-tumor immunity and enhances irinotecan therapy in mice colorectal cancer. European Journal of Pharmacology. 949. 175718–175718. 16 indexed citations

6.

Xiao, Zi‐Jing, et al.. (2022). RNA sequencing reveals the transcriptome profile of the atopic prurigo nodularis with severe itching. Experimental Dermatology. 32(1). 30–40. 12 indexed citations

7.

Hossain, Md Amir, Guilai Liu, Beiying Dai, et al.. (2020). Reinvigorating exhausted CD8⁺ cytotoxic T lymphocytes in the tumor microenvironment and current strategies in cancer immunotherapy. Medicinal Research Reviews. 41(1). 156–201. 88 indexed citations

8.

Dai, Beiying. (2019). Comment on “APOBEC3B interaction with PRC2 modulates microenvironment to promote HCC progression”. Hepatoma Research. 2019. 1 indexed citations

9.

Dai, Beiying, et al.. (2016). The molecular pathogenesis of mantle cell lymphoma. Leukemia & lymphoma. 58(7). 1530–1537. 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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