Ling Pan

402 total citations
32 papers, 305 citations indexed

About

Ling Pan is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Ling Pan has authored 32 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Hematology and 5 papers in Oncology. Recurrent topics in Ling Pan's work include PI3K/AKT/mTOR signaling in cancer (8 papers), Multiple Myeloma Research and Treatments (5 papers) and Cell Adhesion Molecules Research (4 papers). Ling Pan is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (8 papers), Multiple Myeloma Research and Treatments (5 papers) and Cell Adhesion Molecules Research (4 papers). Ling Pan collaborates with scholars based in China, Japan and United States. Ling Pan's co-authors include Xiaoyang Yang, Zhiyong Cheng, Shihui Li, Suyun Wang, Fang Xue, Xiaoling Guo, Hao Chen, Liang Shi, Kazunori Ohnishi and Akihiro Takeshita and has published in prestigious journals such as Blood, Free Radical Biology and Medicine and Bone.

In The Last Decade

Ling Pan

31 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ling Pan China	12	159	106	53	33	30	32	305
Debora Valli Italy	12	263 1.7×	109 1.0×	92 1.7×	83 2.5×	47 1.6×	14	417
Yehua Jin China	10	135 0.8×	46 0.4×	43 0.8×	72 2.2×	48 1.6×	15	309
Kozue Uchio Japan	10	145 0.9×	29 0.3×	27 0.5×	27 0.8×	28 0.9×	12	346
Xiaoming Zou United States	10	244 1.5×	68 0.6×	65 1.2×	38 1.2×	20 0.7×	12	345
Diane M. Pierson United States	9	111 0.7×	32 0.3×	29 0.5×	21 0.6×	44 1.5×	11	324
Yunfeng Shen China	12	111 0.7×	101 1.0×	60 1.1×	28 0.8×	66 2.2×	29	309
Pierre‐Luc Mouchel France	7	246 1.5×	68 0.6×	71 1.3×	52 1.6×	44 1.5×	14	396
Guowei Dai China	9	268 1.7×	156 1.5×	68 1.3×	23 0.7×	39 1.3×	18	451
Baodong Ye China	11	135 0.8×	132 1.2×	29 0.5×	48 1.5×	31 1.0×	62	318
Mengxia Yu China	15	282 1.8×	204 1.9×	90 1.7×	93 2.8×	29 1.0×	35	470

Countries citing papers authored by Ling Pan

Since Specialization

Citations

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

Fields of papers citing papers by Ling Pan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Pan. A scholar is included among the top collaborators of Ling Pan 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 Ling Pan. Ling Pan 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

Pan, Ling, et al.. (2025). A Time Course Analysis of the Conceptual and Affective Meanings of Words. Behavioral Sciences. 15(1). 69–69. 1 indexed citations

Pan, Ling, et al.. (2024). Parental marital Relationship and depressive symptoms in adolescent boys and girls: The role of self-compassion and school connectedness. Current Psychology. 43(18). 16377–16388. 3 indexed citations

Pan, Ling, et al.. (2023). Tourism stimulus on anxiety and depression in college students. CNS Spectrums. 28(S2). S97–S98.

Wang, Ying, Fuxu Wang, Yujie Guo, et al.. (2015). Artesunate-enhanced apoptosis of human high-risk myelodysplastic cells induced by the DNA methyltransferase inhibitor decitabine. Oncology Letters. 9(6). 2449–2454. 1 indexed citations

Pan, Bing, Baoqi Yu, Hui Ren, et al.. (2013). High-density lipoprotein nitration and chlorination catalyzed by myeloperoxidase impair its effect of promoting endothelial repair. Free Radical Biology and Medicine. 60. 272–281. 34 indexed citations

Li, You, Lin Chen, Ling Pan, Jinyu Chen, & Yongde Peng. (2013). Relation of body mass index to vitamin D, PTH, and bone turnover markers levels among women in Shanghai area. Zhonghua neifenmi daixie zazhi. 29(7). 566–569. 1 indexed citations

Cheng, Zhiyong, et al.. (2011). Effect of phosphatase and tensin homology deleted on chromosome 10 (PTEN) gene transfection on reversal of multidrug resistance in K562/ADM cells. Leukemia & lymphoma. 53(7). 1383–1389. 11 indexed citations

Yang, Xiaoyang, et al.. (2011). PTEN’s regulation of VEGF and VEGFR1 expression and its clinical significance in myeloid leukemia. Medical Oncology. 29(2). 1084–1092. 12 indexed citations

Pan, Ling. (2010). Effect of Integrin-mediated Signal Transduction Pathways on Apoptosis of K562 Cells. Zhongliu fangzhi yanjiu. 1 indexed citations

10.

Chen, Hao, Liang Shi, Xiaoyang Yang, et al.. (2010). Artesunate inhibiting angiogenesis induced by human myeloma RPMI8226 cells. International Journal of Hematology. 92(4). 587–597. 39 indexed citations

11.

Chen, Hao, et al.. (2010). [Effects of beta-elemene on proliferation and apoptosis of human multiple myeloma cell RPMI-8226].. PubMed. 18(2). 368–71. 3 indexed citations

12.

Li, Shihui, Fang Xue, Zhiyong Cheng, et al.. (2009). Effect of artesunate on inhibiting proliferation and inducing apoptosis of SP2/0 myeloma cells through affecting NFκB p65. International Journal of Hematology. 90(4). 513–521. 43 indexed citations

13.

Yang, Ning, et al.. (2009). Regulationary of PTEN/PI3K/Akt pathway on apoptosis of K562 cells.. Zhongliu fangzhi yanjiu. 36(10). 828–832. 2 indexed citations

14.

Pan, Ling. (2009). Effects of Honokiol on Proliferation and Apoptosis on U937 Cells. Journal of Sun Yat-sen University. 1 indexed citations

15.

Yang, Xiao, et al.. (2008). PTEN and rapamycin inhibiting the growth of K562 cells through regulating mTOR signaling pathway. Journal of Experimental & Clinical Cancer Research. 27(1). 87–87. 16 indexed citations

16.

Guo, Xiaoling, et al.. (2007). Expression and mutation analysis of genes that encode the Myc antagonists Mad1, Mxi1 and Rox in acute leukaemia. Leukemia & lymphoma. 48(6). 1200–1207. 12 indexed citations

17.

Pan, Ling, et al.. (2006). Expression and Mutation Analysis of the Myc Antagonist Gene Mad1 in Acute Leukemia.. Blood. 108(11). 4331–4331. 1 indexed citations

18.

Zhang, Wen Jie, Kazunori Ohnishi, Hitoshi Yoshida, et al.. (2000). Spicamycin and KRN5500 Induce Apoptosis in Myeloid and Lymphoid Cell Lines with Down‐regulation of Bcl‐2 Expression and Modulation of Promyelocytic Leukemia Protein. Japanese Journal of Cancer Research. 91(6). 604–611. 7 indexed citations

19.

Takeshita, Akihiro, Kaori Shinjo, Ling Pan, et al.. (1998). Quantitative expression of thrombopoietin receptor on leukaemia cells from patients with acute myeloid leukaemia and acute lymphoblastic leukaemia. British Journal of Haematology. 100(2). 283–290. 23 indexed citations

20.

Takeshita, Akihiro, Kaori Shinjo, Kensuke Naito, et al.. (1997). Amount of mpl on bone marrow haemopoietic precursor cells from healthy volunteers and patients with refractory anaemia. British Journal of Haematology. 99(4). 746–755. 14 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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