Yichun Fu

674 total citations
19 papers, 316 citations indexed

About

Yichun Fu is a scholar working on Immunology, Oncology and Epidemiology. According to data from OpenAlex, Yichun Fu has authored 19 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 9 papers in Oncology and 5 papers in Epidemiology. Recurrent topics in Yichun Fu's work include Immunotherapy and Immune Responses (6 papers), Cancer Immunotherapy and Biomarkers (5 papers) and CAR-T cell therapy research (3 papers). Yichun Fu is often cited by papers focused on Immunotherapy and Immune Responses (6 papers), Cancer Immunotherapy and Biomarkers (5 papers) and CAR-T cell therapy research (3 papers). Yichun Fu collaborates with scholars based in United States, China and Canada. Yichun Fu's co-authors include Ari Grinspan, Yuying Luo, Glenn P. A. Yap, Sharon J. Nieter Burgmayer, Benjamin R. Williams, Yvonne M. Saenger, Dagmara I. Moscoso, J. R. Porter, Miriam Mérad and Gopi Patel and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and Clinical Cancer Research.

In The Last Decade

Yichun Fu

19 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yichun Fu United States 10 108 94 87 83 57 19 316
Jinfeng Liu China 14 71 0.7× 14 0.1× 91 1.0× 43 0.5× 344 6.0× 58 572
Yi‐Fang Deng China 9 41 0.4× 77 0.8× 220 2.5× 42 0.5× 13 0.2× 36 434
Indra Wijaya Indonesia 8 92 0.9× 51 0.5× 35 0.4× 23 0.3× 29 0.5× 47 235
Surada Lerdwana Thailand 11 105 1.0× 42 0.4× 142 1.6× 57 0.7× 64 1.1× 37 505
Shifang Yang China 12 84 0.8× 60 0.6× 202 2.3× 88 1.1× 35 0.6× 34 451
Alexandra E. Livanos United States 7 46 0.4× 70 0.7× 191 2.2× 41 0.5× 58 1.0× 14 355
Francisco J. Leyva United States 10 65 0.6× 83 0.9× 98 1.1× 61 0.7× 143 2.5× 20 425
Zicheng Jiang China 10 68 0.6× 15 0.2× 29 0.3× 19 0.2× 189 3.3× 23 319
Patricia Merkel United States 10 73 0.7× 32 0.3× 75 0.9× 113 1.4× 75 1.3× 19 303
Ji Young Chang South Korea 12 49 0.5× 61 0.6× 98 1.1× 44 0.5× 71 1.2× 49 416

Countries citing papers authored by Yichun Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yichun Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yichun Fu

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

All Works

19 of 19 papers shown
1.
Wu, Chun‐Ying, Yichun Fu, Jinlin Liu, et al.. (2025). OP0074 Preliminary results of CD19/BCMA Dual-Targeting FasTCAR-T Cells GC012F (AZD0120) in patients with refractory Systemic Lupus Erythematosus-an open-label, single-arm study. Annals of the Rheumatic Diseases. 84. 65–65. 1 indexed citations
2.
Fu, Yichun, et al.. (2024). Successful Treatment of Eosinophilic Enterocolitis in an Adult Patient With Adalimumab. ACG Case Reports Journal. 11(2). e01285–e01285. 1 indexed citations
3.
Gartrell, Robyn D., Zoë Blake, Emanuelle M. Rizk, et al.. (2022). Combination immunotherapy including OncoVEXmGMCSF creates a favorable tumor immune micro-environment in transgenic BRAF murine melanoma. Cancer Immunology Immunotherapy. 71(8). 1837–1849. 4 indexed citations
4.
Fu, Yichun & Aimee L. Lucas. (2021). Genetic Evaluation of Pancreatitis. Gastrointestinal Endoscopy Clinics of North America. 32(1). 27–43. 5 indexed citations
5.
Fu, Yichun, Yuying Luo, & Ari Grinspan. (2021). Epidemiology of community-acquired and recurrent Clostridioides difficile infection. Therapeutic Advances in Gastroenterology. 14. 1088199224–1088199224. 64 indexed citations
6.
Luo, Yuying, et al.. (2020). Hospital-onset Clostridioides difficile infections during the COVID-19 pandemic. Infection Control and Hospital Epidemiology. 42(9). 1165–1166. 30 indexed citations
7.
8.
Gartrell, Robyn D., Douglas K. Marks, Emanuelle M. Rizk, et al.. (2019). Validation of Melanoma Immune Profile (MIP), a Prognostic Immune Gene Prediction Score for Stage II–III Melanoma. Clinical Cancer Research. 25(8). 2494–2502. 17 indexed citations
9.
Fu, Yichun, Dagmara I. Moscoso, J. R. Porter, et al.. (2019). Relationship Between Dietary Fiber Intake and Short‐Chain Fatty Acid–Producing Bacteria During Critical Illness: A Prospective Cohort Study. Journal of Parenteral and Enteral Nutrition. 44(3). 463–471. 35 indexed citations
10.
Gartrell, Robyn D., Zoë Blake, Rolando Pérez‐Lorenzo, et al.. (2018). Effect of combination immunotherapy on tumor growth, survival, and intratumoral immune infiltration in transgenic murine model of melanoma.. Journal of Clinical Oncology. 36(15_suppl). e21610–e21610. 1 indexed citations
11.
Москаленко, Марина, Michael Pan, Yichun Fu, et al.. (2015). Requirement for Innate Immunity and CD90+ NK1.1− Lymphocytes to Treat Established Melanoma with Chemo-Immunotherapy. Cancer Immunology Research. 3(3). 296–304. 19 indexed citations
12.
Fu, Yichun, Yingzhi Qian, Shira Wieder, et al.. (2015). Immune biomarkers are more accurate in prediction of survival in ulcerated than in non-ulcerated primary melanomas. Cancer Immunology Immunotherapy. 64(9). 1193–1203. 15 indexed citations
13.
Saenger, Yvonne M., Jay Magidson, Yichun Fu, et al.. (2014). Blood mRNA Expression Profiling Predicts Survival in Patients Treated with Tremelimumab. Clinical Cancer Research. 20(12). 3310–3318. 31 indexed citations
14.
Godefroy, Emmanuelle, Anne Gallois, Juliana Idoyaga, et al.. (2014). Activation of Toll-like Receptor-2 by Endogenous Matrix Metalloproteinase-2 Modulates Dendritic-Cell-Mediated Inflammatory Responses. Cell Reports. 9(5). 1856–1870. 33 indexed citations
15.
Saenger, Yvonne M., et al.. (2014). Transcriptional profiling of whole blood: a rich source of immune biomarkers in cancer. OncoImmunology. 3(7). e944056–e944056. 1 indexed citations
16.
Fu, Yichun, et al.. (2013). The significant increase and dynamic changes of the myeloid-derived suppressor cells percentage with chemotherapy in advanced NSCLC patients. Clinical & Translational Oncology. 16(7). 616–622. 10 indexed citations
17.
Williams, Benjamin R., Yichun Fu, Glenn P. A. Yap, & Sharon J. Nieter Burgmayer. (2012). Structure and Reversible Pyran Formation in Molybdenum Pyranopterin Dithiolene Models of the Molybdenum Cofactor. Journal of the American Chemical Society. 134(48). 19584–19587. 40 indexed citations
18.
Spellberg, Brad, et al.. (2006). 97 Optimization of a myeloid cell transfusion strategy for infected neutropenic hosts. International Journal of Infectious Diseases. 10. S55–S55. 2 indexed citations
19.
Fu, Yichun, et al.. (2000). [Study on whole blood photoacoustic spectroscopy for PIH (pregnancy-induced hypertension)].. PubMed. 20(3). 425–6. 1 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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