Saran Feng

414 total citations
20 papers, 317 citations indexed

About

Saran Feng is a scholar working on Molecular Biology, Hematology and Cancer Research. According to data from OpenAlex, Saran Feng has authored 20 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Hematology and 5 papers in Cancer Research. Recurrent topics in Saran Feng's work include Multiple Myeloma Research and Treatments (4 papers), Barrier Structure and Function Studies (4 papers) and S100 Proteins and Annexins (3 papers). Saran Feng is often cited by papers focused on Multiple Myeloma Research and Treatments (4 papers), Barrier Structure and Function Studies (4 papers) and S100 Proteins and Annexins (3 papers). Saran Feng collaborates with scholars based in China and United States. Saran Feng's co-authors include Hongjie Shen, Zixing Chen, Jiannong Cen, Yao Li, Yuanyuan Wang, Yihong Huang, Kehong Bi, Hong Li, Li Xu and Shujuan Jiang and has published in prestigious journals such as Blood, PLoS ONE and Scientific Reports.

In The Last Decade

Saran Feng

18 papers receiving 315 citations

Peers

Saran Feng
Lauren Dong United States
Leoni Rolfes Germany
James Garifallou United States
Monica Buckley United States
XL Zhang China
Lauren Dong United States
Saran Feng
Citations per year, relative to Saran Feng Saran Feng (= 1×) peers Lauren Dong

Countries citing papers authored by Saran Feng

Since Specialization
Citations

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

Fields of papers citing papers by Saran Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saran Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Saran Feng. A scholar is included among the top collaborators of Saran 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 Saran Feng. Saran Feng 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.
Jiang, Yang, Yuyan Chen, Lin Cheng, et al.. (2025). NSUN2-mediated RNA m5C modification drives multiple myeloma progression by enhancing the stability of HIP1 mRNA. Scientific Reports. 15(1). 27888–27888.
2.
3.
Feng, Saran, et al.. (2025). Advances in allogeneic hematopoietic stem cell transplantation for Langerhans cell histiocytosis in children. Frontiers in Immunology. 16. 1345855–1345855. 1 indexed citations
4.
Liang, Xiao‐Xiao, Haiyan Shi, Kehong Bi, et al.. (2024). Population pharmacokinetics of lenalidomide in Chinese patients with influence of genetic polymorphisms of ABCB1. Scientific Reports. 14(1). 2577–2577. 1 indexed citations
5.
Wang, Zhaohui, Saran Feng, Yan Wang, et al.. (2022). Dynamic trajectory of platelet counts after the first cycle of induction chemotherapy in AML patients. BMC Cancer. 22(1). 477–477. 1 indexed citations
7.
Li, Hong, et al.. (2022). CIRCRNA CIRCEHBP1 REGULATES THE MATURATION OF MIR-129 TO INCREASE THE CHEMORESISTANCE OF CANCER CELLS TO ADRIAMYCIN IN ACUTE MYELOID LEUKAEMIA. Mediterranean Journal of Hematology and Infectious Diseases. 14(1). e2022062–e2022062. 3 indexed citations
8.
Li, Hong, et al.. (2021). CircRNA circ_POLA2 is Upregulated in Acute Myeloid Leukemia (AML) and Promotes Cell Proliferation by Suppressing the Production of Mature miR-34a. Cancer Management and Research. Volume 13. 3629–3637. 18 indexed citations
9.
He, Xiaofei, Saran Feng, Jiajia Zhang, et al.. (2020). Cyclosporine enhances the sensitivity to lenalidomide in MDS/AML in vitro. Experimental Hematology. 86. 21–27.e2. 12 indexed citations
10.
He, Xiaofei, et al.. (2020). G protein-coupled receptor 68 increases the number of B lymphocytes.. PubMed. 10(2). 15–21. 6 indexed citations
11.
Li, Dezhi, Li Xu, Dianjie Lin, et al.. (2018). Acute pulmonary embolism and deep vein thrombosis secondary to idiopathic hypereosinophilic syndrome. Respiratory Medicine Case Reports. 25. 213–215. 12 indexed citations
13.
Wang, Yan, Zunsong Wang, Hong Li, et al.. (2017). Arsenic trioxide increases expression of secreted frizzled-related protein 1 gene and inhibits the WNT/β-catenin signaling pathway in Jurkat cells. Experimental and Therapeutic Medicine. 13(5). 2050–2055. 7 indexed citations
15.
Feng, Saran, Wanru Chen, Shuhua Wang, et al.. (2014). Suppression of graft-versus-host disease and retention of graft-versus-tumour reaction by murine genetically engineered dendritic cells following bone marrow transplantation. Molecular Medicine Reports. 11(5). 3820–3827. 2 indexed citations
16.
Feng, Saran, Jiannong Cen, Hongjie Shen, et al.. (2011). Matrix Metalloproteinase-2 and -9 Secreted by Leukemic Cells Increase the Permeability of Blood-Brain Barrier by Disrupting Tight Junction Proteins. PLoS ONE. 6(8). e20599–e20599. 186 indexed citations
18.
Feng, Saran, et al.. (2011). [Disruption of blood brain-barrier by leukemic cells in central nervous system leukemia].. PubMed. 32(5). 289–93. 6 indexed citations
20.

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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