Christopher C. Pan

751 total citations · 1 hit paper
16 papers, 445 citations indexed

About

Christopher C. Pan is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Christopher C. Pan has authored 16 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Cancer Research. Recurrent topics in Christopher C. Pan's work include Angiogenesis and VEGF in Cancer (5 papers), TGF-β signaling in diseases (4 papers) and Autophagy in Disease and Therapy (3 papers). Christopher C. Pan is often cited by papers focused on Angiogenesis and VEGF in Cancer (5 papers), TGF-β signaling in diseases (4 papers) and Autophagy in Disease and Therapy (3 papers). Christopher C. Pan collaborates with scholars based in United States, Netherlands and China. Christopher C. Pan's co-authors include Karthikeyan Mythreye, Nam Y. Lee, Sanjay Kumar, Peter B. Alexander, Lifeng Yuan, Nirav Shah, Jeffrey Bloodworth, De Huang, Lianmei Tan and Xiao‐Fan Wang and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Molecular Cell.

In The Last Decade

Christopher C. Pan

16 papers receiving 441 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cancer-cell-derived GABA promotes β-catenin-mediated tumour growth and immunosuppression

2022 165 citations De Huang, Yan Wang et al. Nature Cell Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher C. Pan United States	11	226	82	77	75	75	16	445
Rodolfo Daniel Cervantes‐Villagrana Mexico	12	250 1.1×	31 0.4×	116 1.5×	73 1.0×	51 0.7×	26	496
Muhlis Akman Italy	10	202 0.9×	35 0.4×	105 1.4×	58 0.8×	134 1.8×	14	453
Lifeng Yuan United States	9	266 1.2×	84 1.0×	86 1.1×	92 1.2×	149 2.0×	9	497
Céline Delierneux Belgium	13	270 1.2×	35 0.4×	110 1.4×	98 1.3×	76 1.0×	23	599
Kaiming Xu United States	14	309 1.4×	55 0.7×	124 1.6×	85 1.1×	97 1.3×	22	589
Mingqi Qu China	12	420 1.9×	36 0.4×	50 0.6×	35 0.5×	93 1.2×	17	611
Bin Yuan China	11	167 0.7×	97 1.2×	137 1.8×	102 1.4×	43 0.6×	19	410
Wan Li China	14	358 1.6×	37 0.5×	104 1.4×	74 1.0×	155 2.1×	16	625
Ilaria Craparotta Italy	13	245 1.1×	31 0.4×	167 2.2×	100 1.3×	117 1.6×	25	539
Károly Szekeres United States	12	208 0.9×	75 0.9×	119 1.5×	134 1.8×	81 1.1×	18	572

Countries citing papers authored by Christopher C. Pan

Since Specialization

Citations

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

Fields of papers citing papers by Christopher C. Pan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher C. Pan

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

All Works

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16 of 16 papers shown

Zhao, Boyang, et al.. (2025). Abstract LB430: QTX3544, a potent and selective G12V-preferring KRAS inhibitor, synergizes with EGFR inhibitors for enhanced anti-tumor activity. Cancer Research. 85(8_Supplement_2). LB430–LB430. 1 indexed citations

Maeso‐Díaz, Raquel, Kuo Du, Christopher C. Pan, et al.. (2023). Targeting senescent hepatocytes using the thrombomodulin-PAR1 inhibitor vorapaxar ameliorates NAFLD progression. Hepatology. 78(4). 1209–1222. 19 indexed citations

Liang, Yaosi, Christopher C. Pan, Tao Yin, et al.. (2023). Branched‐Chain Amino Acid Accumulation Fuels the Senescence‐Associated Secretory Phenotype. Advanced Science. 11(2). e2303489–e2303489. 13 indexed citations

Pan, Christopher C., et al.. (2023). Abstract LB_C09: QTX3034, a potent and selective multi-KRAS inhibitor, synergizes with EGFR inhibitors and enhances anti-tumor activity. Molecular Cancer Therapeutics. 22(12_Supplement). LB_C09–LB_C09. 2 indexed citations

Pan, Christopher C., et al.. (2022). EPDR1 is a noncanonical effector of insulin-mediated angiogenesis regulated by an endothelial-specific TGF-β receptor complex. Journal of Biological Chemistry. 298(9). 102297–102297. 6 indexed citations

Huang, De, Yan Wang, J. Will Thompson, et al.. (2022). Cancer-cell-derived GABA promotes β-catenin-mediated tumour growth and immunosuppression. Nature Cell Biology. 24(2). 230–241. 165 indexed citations breakdown →

Pan, Christopher C., Sanjay Kumar, Jeffrey J. Lochhead, et al.. (2022). βIV-spectrin as a stalk cell-intrinsic regulator of VEGF signaling. Nature Communications. 13(1). 1326–1326. 13 indexed citations

Shah, Nirav, Sanjay Kumar, Christopher C. Pan, et al.. (2018). TAK1 activation of alpha-TAT1 and microtubule hyperacetylation control AKT signaling and cell growth. Nature Communications. 9(1). 1696–1696. 46 indexed citations

Chong, Mengyang, Tao Yin, Rui Chen, et al.. (2018). CD 36 initiates the secretory phenotype during the establishment of cellular senescence. EMBO Reports. 19(6). 54 indexed citations

10.

Shah, Nirav, et al.. (2017). Novel Crosstalk between Insulin and TGF‐beta signaling in Vascular Endothelial Cells. The FASEB Journal. 31(S1). 1 indexed citations

11.

Kumar, Sanjay, Christopher C. Pan, Nirav Shah, et al.. (2016). Activation of Mitofusin2 by Smad2-RIN1 Complex during Mitochondrial Fusion. Molecular Cell. 62(4). 520–531. 43 indexed citations

12.

Pan, Christopher C., Sanjay Kumar, Sarah E. Wheeler, et al.. (2016). Angiostatic actions of capsicodendrin through selective inhibition of VEGFR2-mediated AKT signaling and disregulated autophagy. Oncotarget. 8(8). 12675–12685. 15 indexed citations

13.

Pan, Christopher C., Sanjay Kumar, Jeffrey Bloodworth, et al.. (2015). Endoglin Regulation of Smad2 Function Mediates Beclin1 Expression and Endothelial Autophagy. Journal of Biological Chemistry. 290(24). 14884–14892. 28 indexed citations

14.

Lee, Nam Y., Christopher C. Pan, & Sanjay Kumar. (2015). Abstract 4173: Endoglin regulation of Smad2/3 function mediates beclin1 expression and endothelial autophagy during angiogenesis. Cancer Research. 75(15_Supplement). 4173–4173. 1 indexed citations

15.

Pan, Christopher C., Sanjay Kumar, Nirav Shah, et al.. (2014). Src-mediated Post-translational Regulation of Endoglin Stability and Function Is Critical for Angiogenesis. Journal of Biological Chemistry. 289(37). 25486–25496. 17 indexed citations

16.

Pan, Christopher C., Jeffrey Bloodworth, Karthikeyan Mythreye, & Nam Y. Lee. (2012). Endoglin inhibits ERK-induced c-Myc and cyclin D1 expression to impede endothelial cell proliferation. Biochemical and Biophysical Research Communications. 424(3). 620–623. 21 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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