Peiyan Kong

1.6k total citations
86 papers, 983 citations indexed

About

Peiyan Kong is a scholar working on Hematology, Oncology and Genetics. According to data from OpenAlex, Peiyan Kong has authored 86 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Hematology, 34 papers in Oncology and 26 papers in Genetics. Recurrent topics in Peiyan Kong's work include Hematopoietic Stem Cell Transplantation (38 papers), Acute Myeloid Leukemia Research (18 papers) and Mesenchymal stem cell research (18 papers). Peiyan Kong is often cited by papers focused on Hematopoietic Stem Cell Transplantation (38 papers), Acute Myeloid Leukemia Research (18 papers) and Mesenchymal stem cell research (18 papers). Peiyan Kong collaborates with scholars based in China, United States and Japan. Peiyan Kong's co-authors include Xi Zhang, Lei Gao, Dongfeng Zeng, Li Gao, Xiangui Peng, Yao Liu, Xinghua Chen, Cheng Zhang, Qingyu Wang and Zhaohua Shen and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Peiyan Kong

82 papers receiving 976 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peiyan Kong China 18 462 308 306 281 198 86 983
Sawa Ito United States 18 466 1.0× 235 0.8× 249 0.8× 288 1.0× 466 2.4× 71 1.2k
Mohammad Shahjahani Iran 19 463 1.0× 247 0.8× 580 1.9× 350 1.2× 178 0.9× 67 1.3k
Seongseok Yun United States 18 344 0.7× 464 1.5× 306 1.0× 248 0.9× 147 0.7× 79 1.1k
Deog‐Yeon Jo South Korea 20 519 1.1× 422 1.4× 332 1.1× 283 1.0× 405 2.0× 105 1.3k
Ken‐Hong Lim Taiwan 18 396 0.9× 247 0.8× 495 1.6× 412 1.5× 203 1.0× 50 1.2k
Gabriella Sammarelli Italy 16 465 1.0× 438 1.4× 404 1.3× 193 0.7× 89 0.4× 39 938
Dorie Sher United States 14 326 0.7× 298 1.0× 373 1.2× 463 1.6× 198 1.0× 29 1.0k
Wei Xie United States 17 203 0.4× 220 0.7× 370 1.2× 165 0.6× 259 1.3× 55 986
Joanne I. Adamkewicz United States 13 733 1.6× 219 0.7× 373 1.2× 237 0.8× 109 0.6× 24 1.4k
Shihong Lu China 19 270 0.6× 198 0.6× 440 1.4× 387 1.4× 210 1.1× 59 1.1k

Countries citing papers authored by Peiyan Kong

Since Specialization
Citations

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

Fields of papers citing papers by Peiyan Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peiyan Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Peiyan Kong. A scholar is included among the top collaborators of Peiyan Kong 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 Peiyan Kong. Peiyan Kong 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.
Wang, Dan, Hanqing Zeng, Zhongmin Zou, et al.. (2023). Thrombopoietin receptor agonists for refractory thrombocytopenia in patients after autologous hematopoietic stem cell transplantation. Transplant Immunology. 81. 101948–101948. 1 indexed citations
2.
Zhang, Cheng, Xu Tan, Jieping Li, et al.. (2023). Efficacy and toxicity of CLAG combined with pegylated liposomal doxorubicin in the treatment of refractory or relapsed acute myeloid leukemia. Cancer Medicine. 12(11). 12377–12387. 4 indexed citations
3.
4.
Feng, Yimei, Ping Wang, Wen Zhu, et al.. (2020). Sirolimus as Rescue Therapy for Refractory/Relapsed Immune Thrombocytopenia: Results of a Single-Center, Prospective, Single-Arm Study. Frontiers in Medicine. 7. 110–110. 31 indexed citations
5.
Kong, Peiyan, et al.. (2020). Deep vein thrombosis inhibitor may play a therapeutic role in post-stroke patients. BMC Medical Genetics. 21(S1). 174–174. 1 indexed citations
6.
Zhu, Lidan, Ping Wang, Wei Zhang, et al.. (2020). <p>Plasmacytoid Dendritic Cell Infiltration in Acute Myeloid Leukemia</p>. Cancer Management and Research. Volume 12. 11411–11419. 10 indexed citations
7.
Li, Qiong, Wei Zhang, Jiali Li, et al.. (2020). Plasma circulating tumor DNA assessment reveals KMT2D as a potential poor prognostic factor in extranodal NK/T-cell lymphoma. Biomarker Research. 8(1). 27–27. 31 indexed citations
8.
Zhang, Hua, Lei Gao, Li Liu, et al.. (2019). A Bcma and CD19 Bispecific CAR-T for Relapsed and Refractory Multiple Myeloma. Blood. 134(Supplement_1). 3147–3147. 43 indexed citations
9.
Liu, Yao, Jiali Li, Peiyan Kong, et al.. (2018). PIM1 overexpression in T-cell lymphomas protects tumor cells from apoptosis and confers doxorubicin resistance by upregulating c-myc expression. Acta Biochimica et Biophysica Sinica. 50(8). 800–806. 12 indexed citations
10.
11.
Zeng, Dongfeng, Cheng Yen Chang, Jieping Li, et al.. (2015). Extramedullary T-lymphoblastic blast crisis in chronic myelogenous leukemia: A case report of successful diagnosis and treatment. Experimental and Therapeutic Medicine. 9(3). 850–852. 2 indexed citations
12.
Chen, Yongsheng, Peiyan Kong, Dongfeng Zeng, et al.. (2013). A clinical study on the therapeutic effect of rituximab in combination with autologous peripheral blood stem cell transplantation in treatment of CD20+ B cellulous non-Hodgkin lymphoma. SHILAP Revista de lepidopterología. 38(7). 591–596. 1 indexed citations
13.
Zeng, Dongfeng, Ting Liu, Yong Zhang, et al.. (2013). The TPO/c-MPL Pathway in the Bone Marrow may Protect Leukemia Cells from Chemotherapy in AML Patients. Pathology & Oncology Research. 20(2). 309–317. 21 indexed citations
14.
Li, Dezhi, Peiyan Kong, Jianguo Sun, et al.. (2011). Comparison of Total Body Irradiation Before and After Chemotherapy in Pretreatment for Hematopoietic Stem Cell Transplantation. Cancer Biotherapy and Radiopharmaceuticals. 27(2). 119–123. 14 indexed citations
15.
Hao, Lei, Lei Gao, Zhongmin Zou, et al.. (2010). Human umbilical cord blood-derived stromal cells prevent graft-versus-host disease in mice following haplo-identical stem cell transplantation. Cytotherapy. 13(1). 83–91. 17 indexed citations
16.
Gao, Li, et al.. (2010). Human Umbilical Cord Blood–Derived Stromal Cells: A New Resource in Hematopoietic Reconstitution in Mouse Haploidentical Transplantation. Transplantation Proceedings. 42(9). 3739–3744. 4 indexed citations
17.
18.
Hao, Lei, Cheng Zhang, Zhongmin Zou, et al.. (2009). Human Umbilical Cord Blood-derived Stromal Cells Suppress Xenogeneic Immune Cell Response In Vitro. Croatian Medical Journal. 50(4). 351–360. 25 indexed citations
19.
Zhang, Cheng, Xinghua Chen, Xi Zhang, et al.. (2008). Mobilization of peripheral blood stem cells for autologous transplantation patients with hematological malignancies: Influence of disease, mobilization method, age and sex. Transfusion and Apheresis Science. 39(1). 21–28. 14 indexed citations
20.
Liang, Xue, Peiyan Kong, Xiangui Peng, & Dongfeng Zeng. (2007). Culture and identification of the human bone marrow mesenchymal stem cells in vitro. Yixue yanjiusheng xuebao. 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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