Yuping Gong

2.0k total citations
83 papers, 1.2k citations indexed

About

Yuping Gong is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Yuping Gong has authored 83 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Hematology, 35 papers in Molecular Biology and 23 papers in Genetics. Recurrent topics in Yuping Gong's work include Chronic Myeloid Leukemia Treatments (18 papers), Acute Myeloid Leukemia Research (17 papers) and Chronic Lymphocytic Leukemia Research (12 papers). Yuping Gong is often cited by papers focused on Chronic Myeloid Leukemia Treatments (18 papers), Acute Myeloid Leukemia Research (17 papers) and Chronic Lymphocytic Leukemia Research (12 papers). Yuping Gong collaborates with scholars based in China, United States and Hong Kong. Yuping Gong's co-authors include Chunbo Li, Xiaoyan Liu, Bei Wang, Muralikrishna Duvvuri, Xia Wu, Jeffrey P. Krise, Huifang Wang, Xue Zheng, Hongbing Ma and Xi Yang and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Yuping Gong

76 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuping Gong China 20 669 268 231 196 138 83 1.2k
Michael Daskalakis Switzerland 18 677 1.0× 494 1.8× 245 1.1× 62 0.3× 177 1.3× 55 1.5k
Yuichi Nakamura Japan 18 393 0.6× 242 0.9× 149 0.6× 75 0.4× 111 0.8× 62 1.0k
Jason Yongsheng Chan Singapore 19 500 0.7× 67 0.3× 403 1.7× 184 0.9× 69 0.5× 107 1.2k
Loredana Santo United States 16 510 0.8× 360 1.3× 582 2.5× 89 0.5× 144 1.0× 39 1.2k
Malika Balduyck France 22 416 0.6× 136 0.5× 234 1.0× 355 1.8× 52 0.4× 68 1.3k
Akihiko Tanizawa Japan 22 1.1k 1.7× 345 1.3× 632 2.7× 68 0.3× 171 1.2× 74 1.8k
Kazuhito Kawabata Japan 18 453 0.7× 96 0.4× 220 1.0× 208 1.1× 82 0.6× 54 1.6k
Miki Nishimura Japan 18 422 0.6× 463 1.7× 264 1.1× 58 0.3× 70 0.5× 49 1.1k
Chaoyong Zhu Sweden 17 416 0.6× 113 0.4× 130 0.6× 188 1.0× 90 0.7× 21 1.2k
Jianhui Zhang China 18 498 0.7× 94 0.4× 333 1.4× 366 1.9× 31 0.2× 83 1.1k

Countries citing papers authored by Yuping Gong

Since Specialization
Citations

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

Fields of papers citing papers by Yuping Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuping Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Yuping Gong. A scholar is included among the top collaborators of Yuping Gong 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 Yuping Gong. Yuping Gong 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.
Zhao, Lei, Hongbing Ma, Ting Niu, et al.. (2024). Myelomonocytic and monocytic acute myeloid leukemia demonstrate comparable poor outcomes with venetoclax-based treatment: a monocentric real-world study. Annals of Hematology. 103(4). 1197–1209. 5 indexed citations
2.
Xu, Min, Jing-Ming Guo, Yuping Gong, et al.. (2024). Zuberitamab, an innovative anti-CD20 monoclonal antibody, for patients with primary immune thrombocytopenia in China: a randomized, double-blind, placebo-controlled, phase 2 study. The Lancet Regional Health - Western Pacific. 47. 101096–101096. 1 indexed citations
3.
Gong, Yuping, et al.. (2023). Prognosis and risk factors for ASXL1 mutations in patients with newly diagnosed acute myeloid leukemia and myelodysplastic syndrome. Cancer Medicine. 13(1). e6871–e6871. 3 indexed citations
4.
Zhou, Min, et al.. (2022). Literature review on genotype–phenotype correlation in patients with hereditary spherocytosis. Clinical Genetics. 102(6). 474–482. 10 indexed citations
5.
Zhong, Xi, et al.. (2022). Pneumatosis cystoides intestinalis associated with etoposide in hematological malignancies: a case report and a literature review. BMC Gastroenterology. 22(1). 150–150. 5 indexed citations
6.
Gong, Yuping, et al.. (2022). One Stone, Two Birds: N6-Methyladenosine RNA Modification in Leukemia Stem Cells and the Tumor Immune Microenvironment in Acute Myeloid Leukemia. Frontiers in Immunology. 13. 912526–912526. 2 indexed citations
7.
Guo, Yong, Fangfang Wang, Bing Xiang, Hongbing Ma, & Yuping Gong. (2021). Tanshinone IIA potentiates the efficacy of imatinib by regulating the AKT‑MDM2‑P53 signaling pathway in Philadelphia chromosome‑positive acute lymphoblastic leukemia. Oncology Letters. 23(1). 7–7. 1 indexed citations
8.
Cao, Xiaoyue, Yuwei Chen, Qing Xu, et al.. (2021). Mettl14-Mediated m6A Modification Facilitates Liver Regeneration by Maintaining Endoplasmic Reticulum Homeostasis. Cellular and Molecular Gastroenterology and Hepatology. 12(2). 633–651. 34 indexed citations
9.
Wu, Xia, et al.. (2019). Prognostic significance of the EVI1 gene expression in patients with acute myeloid leukemia: a meta-analysis. Annals of Hematology. 98(11). 2485–2496. 11 indexed citations
10.
Gong, Yuping, et al.. (2019). Cyclin-dependent kinase 7 is a potential therapeutic target in papillary thyroid carcinoma.. PubMed. 32(6). 1361–1368. 7 indexed citations
11.
Liu, Xiaoyan & Yuping Gong. (2019). Isocitrate dehydrogenase inhibitors in acute myeloid leukemia. Biomarker Research. 7(1). 22–22. 77 indexed citations
12.
Guo, Yong, Yi Li, Fangfang Wang, et al.. (2018). The combination of Nutlin-3 and Tanshinone IIA promotes synergistic cytotoxicity in acute leukemic cells expressing wild-type p53 by co-regulating MDM2-P53 and the AKT/mTOR pathway. The International Journal of Biochemistry & Cell Biology. 106. 8–20. 9 indexed citations
13.
Wang, Huifang, et al.. (2018). Bone Marrow Fat and Hematopoiesis. Frontiers in Endocrinology. 9. 694–694. 87 indexed citations
14.
Zheng, Xue, et al.. (2017). Prognostic value of SRSF2 mutations in patients with de novo myelodysplastic syndromes: A meta-analysis. PLoS ONE. 12(9). e0185053–e0185053. 19 indexed citations
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17.
Yang, Xi, Juan Lin, Yuping Gong, et al.. (2011). Antileukaemia effect of rapamycin alone or in combination with daunorubicin on ph+ acute lymphoblastic leukaemia cell line. Hematological Oncology. 30(3). 123–130. 11 indexed citations
18.
Dai, Yan-Cheng, et al.. (2010). A Review of Qingchang Shuan for Treatment of Ulcerative Colitis. Journal of Traditional Chinese Medicine. 30(3). 237–240. 7 indexed citations
19.
Gong, Yuping, Baoan Wang, Lijuan Yang, et al.. (2009). Clinical and epigenetic study of a case with adrenal hypoplasia congenita caused by a novel DAX-1 gene mutation. Zhonghua neifenmi daixie zazhi. 25(1). 62–63. 1 indexed citations
20.
Gong, Yuping, et al.. (1995). Identification of Hydrogen-Bonded Lysine and Arginine Residues in a Protein by Means of χ4-Torsional-Angle Determination. Journal of Magnetic Resonance Series B. 106(3). 297–299. 2 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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