Yifan Pang

999 total citations
48 papers, 603 citations indexed

About

Yifan Pang is a scholar working on Hematology, Cancer Research and Molecular Biology. According to data from OpenAlex, Yifan Pang has authored 48 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Hematology, 18 papers in Cancer Research and 14 papers in Molecular Biology. Recurrent topics in Yifan Pang's work include Acute Myeloid Leukemia Research (21 papers), MicroRNA in disease regulation (10 papers) and Cancer Genomics and Diagnostics (6 papers). Yifan Pang is often cited by papers focused on Acute Myeloid Leukemia Research (21 papers), MicroRNA in disease regulation (10 papers) and Cancer Genomics and Diagnostics (6 papers). Yifan Pang collaborates with scholars based in United States, China and Netherlands. Yifan Pang's co-authors include Lin Fu, Jinlong Shi, Zhiheng Cheng, Longzhen Cui, Yan Liu, Xiaoyan Ke, Tingting Qian, Liang Quan, Yifeng Dai and Hongyou Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Scientific Reports.

In The Last Decade

Yifan Pang

42 papers receiving 600 citations

Peers

Yifan Pang

HEMAT

IMMUN

ONCOL

A. Allart Stoop United Kingdom

Eva De Smedt Belgium

Dominik Beck Australia

Fang Dong China

Xibao Yu China

Ting‐juan Zhang China

Franco Izzo United States

Hongbing Ma China

Boris Gole Slovenia

Hidetoshi Matsuda Japan

A. Allart Stoop United Kingdom

Yifan Pang

217 ×0.5

203 ×0.7

154 ×1.0

HEMAT

143 ×1.5

IMMUN

75 ×1.0

ONCOL

Citations per year, relative to Yifan Pang Yifan Pang (= 1×) peers A. Allart Stoop

Countries citing papers authored by Yifan Pang

Since Specialization

Citations

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

Fields of papers citing papers by Yifan Pang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yifan Pang

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

All Works

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20 of 20 papers shown

Pang, Yifan & Dan Nie. (2025). Regional economic development level assessment based on K-means clustering algorithm. Procedia Computer Science. 262. 1137–1143.

Vaidya, Rakhee, Hamid Ehsan, Tamara K. Moyo, et al.. (2024). Real-World Analysis of Barriers to Timely Administration of Chimeric Antigen Receptor T Cell (CAR T) Therapy in Diffuse Large B-cell Lymphoma. Transplantation and Cellular Therapy. 30(11). 1082.e1–1082.e10. 4 indexed citations

Zhang, Geng, et al.. (2023). A multimodal data sensing and feature learning-based self-adaptive hybrid approach for machining quality prediction. Advanced Engineering Informatics. 59. 102324–102324. 23 indexed citations

Yu, Hongyan, et al.. (2023). Identification of multifunctionality of grass carp (Ctenopharyngodon idella) TBK1 during bacterial infection. Fish & Shellfish Immunology. 136. 108630–108630. 3 indexed citations

Ehsan, Hamid, Tamara K. Moyo, Bei Hu, et al.. (2023). Real-World Analysis of Barriers to Timely Administration of Chimeric Antigen Receptor T-Cell (CART) Therapy in Diffuse Large B-Cell Lymphoma (DLBCL). Blood. 142(Supplement 1). 7393–7393. 3 indexed citations

Pang, Yifan, et al.. (2023). Clustering pattern and evolution characteristic of microRNAs in grass carp (Ctenopharyngodon idella). BMC Genomics. 24(1). 73–73. 2 indexed citations

Knight, Thomas G., Danielle Boselli, Jing Ai, et al.. (2023). Enhanced Support Services Including Nurse Navigation Mitigate Socioeconomic Disparities in the Treatment of Patients with Acute Lymphoblastic Leukemia. Blood. 142(Supplement 1). 5078–5078. 1 indexed citations

Pang, Yifan & Noa G. Holtzman. (2023). Immunopathogenic mechanisms and modulatory approaches to graft-versus-host disease prevention in acute myeloid leukaemia. Best Practice & Research Clinical Haematology. 36(2). 101475–101475. 1 indexed citations

Pang, Yifan, Yan He, Yang Liu, et al.. (2023). MiR-217 targets TBK1 to modulate inflammatory response in grass carp following infection with Aeromonas hydrophila. Developmental & Comparative Immunology. 143. 104583–104583. 6 indexed citations

10.

Ragon, Brittany Knick, Danielle Boselli, Nilay Shah, et al.. (2023). Neighborhood Disadvantage Is Associated with Inferior Overall Survival for Acute Myeloid Leukemia Patients Treated with Standard Intensive Induction. Blood. 142(Supplement 1). 3799–3799.

11.

Li, Liuyang, Yang Liu, Yan He, et al.. (2021). lncRNA-SUMO3 and lncRNA-HDMO13 modulate the inflammatory response by binding miR-21 and miR-142a-3p in grass carp. Developmental & Comparative Immunology. 121. 104082–104082. 9 indexed citations

12.

Hu, Ning, Yifan Pang, Hongmian Zhao, et al.. (2019). High expression of DOCK2 indicates good prognosis in acute myeloid leukemia. Journal of Cancer. 10(24). 6088–6094. 12 indexed citations

13.

Liu, Yan, Rongjian Lu, Wei Cui, et al.. (2019). High IFITM3 expression predicts adverse prognosis in acute myeloid leukemia. Cancer Gene Therapy. 27(1-2). 38–44. 27 indexed citations

14.

Cheng, Zhiheng, Lei Zhou, Kai Hu, et al.. (2018). Prognostic significance of microRNA-99a in acute myeloid leukemia patients undergoing allogeneic hematopoietic stem cell transplantation. Bone Marrow Transplantation. 53(9). 1089–1095. 9 indexed citations

15.

Cheng, Zhiheng, Yifeng Dai, Yifan Pang, et al.. (2018). Clinical and Biological Implications of Mutational Spectrum in Acute Myeloid Leukemia of FAB Subtypes M0 and M1. Cellular Physiology and Biochemistry. 47(5). 1853–1861. 3 indexed citations

16.

Cheng, Zhiheng, Kai Hu, Lei Tian, et al.. (2018). Clinical and biological implications of mutational spectrum in acute myeloid leukemia of FAB subtypes M4 and M5. Cancer Gene Therapy. 25(3-4). 77–83. 11 indexed citations

17.

Cui, Longzhen, Zhiheng Cheng, Yan Liu, et al.. (2018). Overexpression of PDK2 and PDK3 reflects poor prognosis in acute myeloid leukemia. Cancer Gene Therapy. 27(1-2). 15–21. 41 indexed citations

18.

Cheng, Zhiheng, Yifeng Dai, Yifan Pang, et al.. (2018). Enhanced expressions of FHL2 and iASPP predict poor prognosis in acute myeloid leukemia. Cancer Gene Therapy. 26(1-2). 17–25. 19 indexed citations

19.

Pang, Yifan, et al.. (2015). Toxicity of dose-adjusted BEACOP regimen in the treatment of lymphoma. 24(1). 61–64.

20.

Pang, Yifan, Ruixue Wei, Jintao Wang, Liuhe Wei, & Chunhui Li. (2015). Unexpected in-situ Free Radical Generation and Catalysis to Ag/Polymer Nanocomposite. Scientific Reports. 5(1). 11993–11993. 3 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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