Yuandong Feng

503 total citations
23 papers, 362 citations indexed

About

Yuandong Feng is a scholar working on Molecular Biology, Hematology and Cancer Research. According to data from OpenAlex, Yuandong Feng has authored 23 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Hematology and 10 papers in Cancer Research. Recurrent topics in Yuandong Feng's work include Multiple Myeloma Research and Treatments (8 papers), Cancer-related molecular mechanisms research (7 papers) and RNA modifications and cancer (5 papers). Yuandong Feng is often cited by papers focused on Multiple Myeloma Research and Treatments (8 papers), Cancer-related molecular mechanisms research (7 papers) and RNA modifications and cancer (5 papers). Yuandong Feng collaborates with scholars based in China. Yuandong Feng's co-authors include Ying Shen, Aili He, Aili He, Ju Bai, Peihua Zhang, Wanhong Zhao, Jinsong Hu, Dong Wu, Hongli Chen and Xiaman Wang and has published in prestigious journals such as Blood, Scientific Reports and Life Sciences.

In The Last Decade

Yuandong Feng

23 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuandong Feng China	11	291	210	69	59	32	23	362
Bernard Atmadibrata Australia	10	434 1.5×	262 1.2×	59 0.9×	32 0.5×	23 0.7×	11	506
Jinyu Xiang China	11	266 0.9×	126 0.6×	94 1.4×	26 0.4×	57 1.8×	20	357
Dalia Quwaider Spain	10	266 0.9×	121 0.6×	90 1.3×	129 2.2×	16 0.5×	14	357
Ruonan Shao China	9	186 0.6×	97 0.5×	89 1.3×	53 0.9×	77 2.4×	26	296
Jingrong Xian China	11	183 0.6×	77 0.4×	42 0.6×	79 1.3×	18 0.6×	13	261
Melanie Dujka United States	7	223 0.8×	56 0.3×	122 1.8×	48 0.8×	44 1.4×	12	344
James B. Studd United Kingdom	7	256 0.9×	77 0.4×	92 1.3×	36 0.6×	22 0.7×	9	362
Juliana M. Benito United States	5	125 0.4×	103 0.5×	50 0.7×	70 1.2×	14 0.4×	10	230
Marc Ruíz-Martínez United States	6	242 0.8×	200 1.0×	24 0.3×	30 0.5×	23 0.7×	12	316
Fengbiao Zhou China	11	303 1.0×	102 0.5×	90 1.3×	24 0.4×	14 0.4×	23	367

Countries citing papers authored by Yuandong Feng

Since Specialization

Citations

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

Fields of papers citing papers by Yuandong Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuandong Feng

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Feng, Yuandong, et al.. (2024). Characterization of stem cell landscape and assessing the stemness degree to aid clinical therapeutics in hematologic malignancies. Scientific Reports. 14(1). 23743–23743. 1 indexed citations

Xiao, Yu, Rui Liu, Dan Yang, et al.. (2023). PRMT1 methylation of WTAP promotes multiple myeloma tumorigenesis by activating oxidative phosphorylation via m6A modification of NDUFS6. Cell Death and Disease. 14(8). 512–512. 23 indexed citations

Gao, Dandan, Rui Liu, Yuandong Feng, et al.. (2023). A novel ferroptosis-related gene signature for predicting prognosis in multiple myeloma. Frontiers in Oncology. 13. 999688–999688. 15 indexed citations

Liu, Rui, Yuandong Feng, Linlin Zhang, et al.. (2023). Integrative analysis of the prognostic value and immune microenvironment of mitophagy-related signature for multiple myeloma. BMC Cancer. 23(1). 859–859. 8 indexed citations

Shen, Ying, Ru Zhang, Hongli Chen, et al.. (2021). Using Circ-ANAPC7 as a Novel Type of Biomarker in the Monitoring of Acute Myeloid Leukemia. Acta Haematologica. 145(2). 176–183. 11 indexed citations

Wu, Dong, Jiyu Miao, Jinsong Hu, et al.. (2021). PSMB7 Is a Key Gene Involved in the Development of Multiple Myeloma and Resistance to Bortezomib. Frontiers in Oncology. 11. 9 indexed citations

Peng, Yue, Peihua Zhang, Xiaman Wang, et al.. (2020). IGF-1 promotes multiple myeloma progression through PI3K/Akt-mediated epithelial-mesenchymal transition. Life Sciences. 249. 117503–117503. 32 indexed citations

Peng, Yue, et al.. (2020). Identification of key biomarkers associated with cell adhesion in multiple myeloma by integrated bioinformatics analysis. Cancer Cell International. 20(1). 262–262. 51 indexed citations

Wu, Dong, Peihua Zhang, Ying Shen, et al.. (2020). CD138<sup>-</sup> multiple myeloma cells express high level of CHK1 which correlated to overall survival in MM patient. Aging. 12(22). 23067–23081. 7 indexed citations

10.

Huang, Lingjuan, Yanmeng Wang, Ju Bai, et al.. (2020). Blockade of HSP70 by VER-155008 synergistically enhances bortezomib-induced cytotoxicity in multiple myeloma. Cell Stress and Chaperones. 25(2). 357–367. 23 indexed citations

11.

Wang, Xiaman, Yuandong Feng, Peihua Zhang, et al.. (2020). miR‐582‐5p serves as an antioncogenic biomarker in intermediate risk AML with normal cytogenetics and could inhibit proliferation and induce apoptosis of leukemia cells. Cell Biology International. 44(10). 2021–2030. 8 indexed citations

12.

Shen, Ying, Ru Zhang, Hongli Chen, et al.. (2019). Using Circ-ANAPC7 As a Novel Type of Biomarker in the Monitoring of Acute Myeloid Leukemia. Blood. 134(Supplement_1). 5179–5179. 1 indexed citations

13.

Huang, Lingjuan, Ying Shen, Ju Bai, et al.. (2019). High Expression Levels of Long Noncoding RNA Small Nucleolar RNA Host Gene 18 and Semaphorin 5A Indicate Poor Prognosis in Multiple Myeloma. Acta Haematologica. 143(3). 279–288. 12 indexed citations

14.

Shen, Ying, Yuandong Feng, Hongli Chen, et al.. (2018). Focusing on long non-coding RNA dysregulation in newly diagnosed multiple myeloma. Life Sciences. 196. 133–142. 20 indexed citations

15.

Chen, Hongli, Tian Liu, Jing Liu, et al.. (2018). Circ-ANAPC7 is Upregulated in Acute Myeloid Leukemia and Appears to Target the MiR-181 Family. Cellular Physiology and Biochemistry. 47(5). 1998–2007. 74 indexed citations

16.

Feng, Yuandong, Ying Shen, Hongli Chen, et al.. (2018). Deregulated Expression of Long Non-Coding RNA AC092580.4 in Acute Myeloid Leukemia. Blood. 132(Supplement 1). 5254–5254. 2 indexed citations

17.

Shen, Ying, Yuandong Feng, Hongli Chen, et al.. (2018). Silencing Long Non-Coding RNA ST3GAL6-AS1 Inhibits Adhesion and Migration of Myeloma Cells in Vitro. Blood. 132(Supplement 1). 4470–4470. 2 indexed citations

18.

Shen, Ying, Aili He, Fangxia Wang, et al.. (2018). Granulocyte colony stimulating factor priming chemotherapy is more effective than standard chemotherapy as salvage therapy in relapsed acute myeloid leukemia. Medicina Clínica (English Edition). 151(9). 339–344. 2 indexed citations

19.

Shen, Ying, Aili He, Fangxia Wang, et al.. (2017). Granulocyte colony stimulating factor priming chemotherapy is more effective than standard chemotherapy as salvage therapy in relapsed acute myeloid leukemia. Medicina Clínica. 151(9). 339–344. 2 indexed citations

20.

Feng, Yuandong, Ying Shen, Hongli Chen, et al.. (2017). Expression profile analysis of long non‐coding RNA in acute myeloid leukemia by microarray and bioinformatics. Cancer Science. 109(2). 340–353. 34 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.

Explore authors with similar magnitude of impact