Yalai Bai

1.9k total citations
37 papers, 1.1k citations indexed

About

Yalai Bai is a scholar working on Oncology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yalai Bai has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Oncology, 19 papers in Molecular Biology and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yalai Bai's work include Cancer Immunotherapy and Biomarkers (11 papers), Cancer Genomics and Diagnostics (7 papers) and Advanced Biosensing Techniques and Applications (6 papers). Yalai Bai is often cited by papers focused on Cancer Immunotherapy and Biomarkers (11 papers), Cancer Genomics and Diagnostics (7 papers) and Advanced Biosensing Techniques and Applications (6 papers). Yalai Bai collaborates with scholars based in United States, Sweden and Greece. Yalai Bai's co-authors include David L. Rimm, Yinong Wang, Sandra Martínez-Morilla, Jordan S. Pober, George Tellides, Balázs Ács, Jonathan S. Bromberg, Lingeng Lu, Zuoheng Wang and Lihui Qin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Yalai Bai

37 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yalai Bai United States 20 455 426 298 284 175 37 1.1k
Zev A. Binder United States 22 476 1.0× 475 1.1× 283 0.9× 237 0.8× 173 1.0× 69 1.2k
Bingliang Chen China 17 524 1.2× 385 0.9× 95 0.3× 281 1.0× 103 0.6× 47 1.1k
Gustav Stålhammar Sweden 17 295 0.6× 423 1.0× 218 0.7× 124 0.4× 231 1.3× 81 1.1k
Anthony O’Grady Ireland 22 527 1.2× 435 1.0× 208 0.7× 94 0.3× 178 1.0× 54 1.2k
Matthew Schniederjan United States 20 354 0.8× 260 0.6× 179 0.6× 200 0.7× 93 0.5× 47 1.1k
Ashley M. Laughney United States 18 533 1.2× 362 0.8× 274 0.9× 191 0.7× 221 1.3× 34 1.3k
David Killock United States 13 345 0.8× 344 0.8× 146 0.5× 214 0.8× 88 0.5× 211 879
D. G. Powe United Kingdom 21 532 1.2× 395 0.9× 491 1.6× 117 0.4× 128 0.7× 32 1.7k
Yixiong Zhou China 17 768 1.7× 379 0.9× 409 1.4× 221 0.8× 291 1.7× 50 1.6k
Pinaki Bose Canada 20 1.0k 2.3× 728 1.7× 357 1.2× 354 1.2× 121 0.7× 42 1.8k

Countries citing papers authored by Yalai Bai

Since Specialization
Citations

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

Fields of papers citing papers by Yalai Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yalai Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Yalai Bai. A scholar is included among the top collaborators of Yalai Bai 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 Yalai Bai. Yalai Bai 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.
Zerdes, Ioannis, Alexios Matikas, Artur Mezheyeuski, et al.. (2025). Machine learning-based spatial characterization of tumor-immune microenvironment in the EORTC 10994/BIG 1-00 early breast cancer trial. npj Breast Cancer. 11(1). 23–23. 3 indexed citations
2.
Tsiknakis, Nikos, Johan Staaf, Ana Bosch, et al.. (2024). The analytical and clinical validity of AI algorithms to score TILs in TNBC: can we use different machine learning models interchangeably?. EClinicalMedicine. 78. 102928–102928. 6 indexed citations
3.
Moutafi, Myrto, Yalai Bai, Thazin Nwe Aung, et al.. (2024). An algorithm for standardization of tumor Infiltrating lymphocyte evaluation in head and neck cancers. Oral Oncology. 152. 106750–106750. 4 indexed citations
4.
Moutafi, Myrto, Charles T. Robbins, Vesal Yaghoobi, et al.. (2022). Quantitative measurement of HER2 expression to subclassify ERBB2 unamplified breast cancer. Laboratory Investigation. 102(10). 1101–1108. 91 indexed citations
5.
6.
Marczyk, Michał, Tao Qing, Tess A. O’Meara, et al.. (2022). Tumor immune microenvironment of self-identified African American and non-African American triple negative breast cancer. npj Breast Cancer. 8(1). 88–88. 9 indexed citations
7.
Bai, Yalai, Kimberly Cole, Sandra Martínez-Morilla, et al.. (2021). An Open-Source, Automated Tumor-Infiltrating Lymphocyte Algorithm for Prognosis in Triple-Negative Breast Cancer. Clinical Cancer Research. 27(20). 5557–5565. 38 indexed citations
8.
Zerdes, Ioannis, Alexios Matikas, Balázs Ács, et al.. (2021). Interplay between copy number alterations and immune profiles in the early breast cancer Scandinavian Breast Group 2004-1 randomized phase II trial: results from a feasibility study. npj Breast Cancer. 7(1). 144–144. 8 indexed citations
9.
Ács, Balázs, Vasiliki Pelekanou, Yalai Bai, et al.. (2018). Ki67 reproducibility using digital image analysis: an inter-platform and inter-operator study. Laboratory Investigation. 99(1). 107–117. 83 indexed citations
10.
Lazova, Rossitza, Natapol Pornputtapong, Ruth Halaban, et al.. (2017). Spitz nevi and Spitzoid melanomas: exome sequencing and comparison with conventional melanocytic nevi and melanomas. Modern Pathology. 30(5). 640–649. 43 indexed citations
11.
Rothberg, Bonnie Gould, Rahul Das, Laura Jackson, et al.. (2017). P1.05-017 The Prognostic Impact of EGFR, KRAS and TP53 Somatic Mutations in Curatively Resected Early-Stage Lung Adenocarcinomas. Journal of Thoracic Oncology. 12(1). S623–S624. 1 indexed citations
12.
Lu, Lingeng, Yalai Bai, & Zuoheng Wang. (2017). Elevated T cell activation score is associated with improved survival of breast cancer. Breast Cancer Research and Treatment. 164(3). 689–696. 47 indexed citations
13.
Carvajal‐Hausdorf, Daniel, Kurt A. Schalper, Yalai Bai, et al.. (2017). Objective, domain-specific HER2 measurement in uterine and ovarian serous carcinomas and its clinical significance. Gynecologic Oncology. 145(1). 154–158. 11 indexed citations
14.
Toki, Maria, Chris Merritt, Giang T. Ong, et al.. (2017). Abstract 3810: Validation of novel high-plex protein spatial profiling quantitation based on NanoString's Digital Spatial Profiling (DSP) technology with quantitative fluorescence (QIF). Cancer Research. 77(13_Supplement). 3810–3810. 5 indexed citations
15.
Zhao, Zi-Ming, Bixiao Zhao, Yalai Bai, et al.. (2016). Early and multiple origins of metastatic lineages within primary tumors. Proceedings of the National Academy of Sciences. 113(8). 2140–2145. 112 indexed citations
16.
Cheng, Huan, Yalai Bai, William M. Sikov, et al.. (2014). Quantitative measurements of HER2 and phospho-HER2 expression: correlation with pathologic response to neoadjuvant chemotherapy and trastuzumab. BMC Cancer. 14(1). 326–326. 19 indexed citations
17.
Bai, Yalai, Huan Cheng, Jennifer Bordeaux, et al.. (2013). Comparison of HER2 and Phospho-HER2 Expression between Biopsy and Resected Breast Cancer Specimens Using a Quantitative Assessment Method. PLoS ONE. 8(11). e79901–e79901. 15 indexed citations
18.
Tolles, Juliana, Yalai Bai, Maria T. Baquero, et al.. (2011). Optimal tumor sampling for immunostaining of biomarkers in breast carcinoma. Breast Cancer Research. 13(3). R51–R51. 22 indexed citations
19.
Bai, Yalai, Jianhua Liu, Yinong Wang, et al.. (2002). L-Selectin-Dependent Lymphoid Occupancy Is Required to Induce Alloantigen-Specific Tolerance. The Journal of Immunology. 168(4). 1579–1589. 59 indexed citations
20.
Wang, Yinong, Yalai Bai, Christopher Price, et al.. (2001). Combination of Electroporation and DNA/Dendrimer Complexes Enhances Gene Transfer into Murine Cardiac Transplants. American Journal of Transplantation. 1(4). 334–338. 25 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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