Binbin Chen

6.8k total citations · 1 hit paper
27 papers, 2.9k citations indexed

About

Binbin Chen is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Binbin Chen has authored 27 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Immunology. Recurrent topics in Binbin Chen's work include vaccines and immunoinformatics approaches (4 papers), Immunotherapy and Immune Responses (4 papers) and Cancer Genomics and Diagnostics (3 papers). Binbin Chen is often cited by papers focused on vaccines and immunoinformatics approaches (4 papers), Immunotherapy and Immune Responses (4 papers) and Cancer Genomics and Diagnostics (3 papers). Binbin Chen collaborates with scholars based in United States, China and Netherlands. Binbin Chen's co-authors include Ash A. Alizadeh, Chih Long Liu, Michael S. Khodadoust, Aaron M. Newman, Ethan Fast, Russ B. Altman, Manu O. Platt, Niclas Olsson, Ronald Levy and Michael S. Bernstein and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Binbin Chen

26 papers receiving 2.9k citations

Hit Papers

Profiling Tumor Infiltrating Immune Cells with CIBERSORT 2018 2026 2020 2023 2018 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Binbin Chen United States 11 1.5k 1.1k 868 857 852 27 2.9k
Sigve Andersen Norway 33 1.6k 1.1× 1.2k 1.1× 1.4k 1.6× 981 1.1× 2.0k 2.3× 80 3.9k
Yasin Şenbabaoğlu United States 17 1.7k 1.2× 546 0.5× 1.2k 1.4× 740 0.9× 1.4k 1.7× 24 3.4k
Yutian Zou China 33 2.0k 1.4× 782 0.7× 1.4k 1.6× 397 0.5× 1.0k 1.2× 67 3.1k
Marleen Kok Netherlands 30 1.1k 0.7× 817 0.7× 887 1.0× 953 1.1× 2.3k 2.6× 90 3.6k
Alexander C. Mackinnon United States 29 1.1k 0.7× 839 0.8× 516 0.6× 453 0.5× 638 0.7× 93 2.7k
Takahiro Oike Japan 26 1.3k 0.9× 740 0.7× 360 0.4× 644 0.8× 1.3k 1.5× 113 2.9k
George S. Karagiannis United States 29 1.3k 0.9× 374 0.3× 747 0.9× 620 0.7× 1.3k 1.6× 72 3.3k
Argun Akçakanat United States 26 1.4k 1.0× 525 0.5× 568 0.7× 600 0.7× 1.4k 1.7× 52 2.9k
Li‐Xu Yan China 26 2.0k 1.4× 1.3k 1.1× 1.9k 2.2× 443 0.5× 1.6k 1.9× 63 4.1k
Alexander Gutin United States 29 1.9k 1.3× 1.7k 1.5× 1.4k 1.6× 562 0.7× 1.7k 2.0× 115 4.9k

Countries citing papers authored by Binbin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Binbin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Binbin Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Binbin Chen. A scholar is included among the top collaborators of Binbin Chen 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 Binbin Chen. Binbin Chen 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.
Tycko, Josh, Binbin Chen, Michael C. Bassik, et al.. (2025). Machine-guided dual-objective protein engineering for deimmunization and therapeutic functions. Cell Systems. 16(7). 101299–101299. 2 indexed citations
2.
Chen, Binbin, et al.. (2024). Flavonoid Biosynthesis in Scutellaria baicalensis Georgi: Metabolomics and Transcriptomics Analysis. Agronomy. 14(7). 1494–1494. 2 indexed citations
3.
Tang, Mengjun, et al.. (2024). Investigating the shared genetic architecture between hypothyroidism and rheumatoid arthritis. Frontiers in Immunology. 14. 1286491–1286491. 5 indexed citations
4.
Chen, Binbin, Le Wang, Ming‐Hua Zeng, et al.. (2024). Dissecting the shared genetic architecture between anti-Müllerian hormone and age at menopause based on genome-wide association study. American Journal of Obstetrics and Gynecology. 231(6). 634.e1–634.e11. 1 indexed citations
5.
Chen, Binbin, et al.. (2022). Unraveling the role of Epac1‐SOCS3 signaling in the development of neonatal‐CRD‐induced visceral hypersensitivity in rats. CNS Neuroscience & Therapeutics. 28(9). 1393–1408. 6 indexed citations
6.
Chen, Binbin, Amit Kaushal, Adam Lavertu, et al.. (2021). Repurposing biomedical informaticians for COVID-19. Journal of Biomedical Informatics. 115. 103673–103673. 1 indexed citations
7.
Ouyang, Xiaoming, Yu Liu, Yang Zhou, et al.. (2021). Antitumor effects of iPSC-based cancer vaccine in pancreatic cancer. Stem Cell Reports. 16(6). 1468–1477. 34 indexed citations
8.
Kurtz, David M., Jacob J. Chabon, Brian J. Sworder, et al.. (2021). Leveraging phased variants for personalized minimal residual disease detection in localized non-small cell lung cancer.. Journal of Clinical Oncology. 39(15_suppl). 8518–8518. 2 indexed citations
9.
Meng, Na, et al.. (2020). The role of SOCS3 in the hypothalamic paraventricular nucleus in rat model of inflammatory pain. Journal of Inflammation. 17(1). 12–12. 2 indexed citations
11.
Chen, Binbin, Michael S. Khodadoust, Niclas Olsson, et al.. (2019). Maria-I: A Deep-Learning Approach for Accurate Prediction of MHC Class I Tumor Neoantigen Presentation. Blood. 134(Supplement_1). 84–84. 4 indexed citations
12.
Chen, Binbin, Michael S. Khodadoust, Niclas Olsson, et al.. (2019). Predicting HLA class II antigen presentation through integrated deep learning. Nature Biotechnology. 37(11). 1332–1343. 209 indexed citations
13.
Kurtz, David M., Joanne Soo, Stefan Alig, et al.. (2019). Phased Variant Enrichment for Enhanced Minimal Residual Disease Detection from Cell-Free DNA. Blood. 134(Supplement_1). 552–552. 4 indexed citations
14.
Fast, Ethan, et al.. (2018). Iris. 1–12. 65 indexed citations
15.
Chen, Binbin, Michael S. Khodadoust, Niclas Olsson, et al.. (2017). Maria: Accurate Prediction of MHC-II Peptide Presentation with Deep-Learning and Lymphoma Patient MHC-II Ligandome. Blood. 130. 1486–1486. 3 indexed citations
16.
Chen, Binbin & Russ B. Altman. (2017). Opportunities for developing therapies for rare genetic diseases: focus on gain-of-function and allostery. Orphanet Journal of Rare Diseases. 12(1). 61–61. 25 indexed citations
17.
Yang, Kaiwen, Sicheng Wan, Binbin Chen, et al.. (2015). Dual pH and temperature responsive hydrogels based on β-cyclodextrin derivatives for atorvastatin delivery. Carbohydrate Polymers. 136. 300–306. 36 indexed citations
18.
Xu, Jianhua, Binbin Chen, Patrik R. Callis, et al.. (2015). Picosecond Fluorescence Dynamics of Tryptophan and 5-Fluorotryptophan in Monellin: Slow Water–Protein Relaxation Unmasked. The Journal of Physical Chemistry B. 119(11). 4230–4239. 20 indexed citations
19.
Li, Weiguo, Lina Chen, Li Wan, et al.. (2013). Unraveling the characteristics of microRNA regulation in the developmental and aging process of the human brain. BMC Medical Genomics. 6(1). 55–55. 13 indexed citations
20.
Xu, Jianhua, Binbin Chen, Patrik R. Callis, et al.. (2013). Femtosecond Fluorescence Dynamics of Tryptophan and 5-Fluorotryptophan in Monellin: Slow Water Relaxation Unmasked. Biophysical Journal. 104(2). 681a–681a. 12 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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