Mengyu Pan

916 total citations
9 papers, 103 citations indexed

About

Mengyu Pan is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Mengyu Pan has authored 9 papers receiving a total of 103 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Physiology. Recurrent topics in Mengyu Pan's work include Cell Adhesion Molecules Research (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Mengyu Pan is often cited by papers focused on Cell Adhesion Molecules Research (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Mengyu Pan collaborates with scholars based in United States, Sweden and Norway. Mengyu Pan's co-authors include Andreas Edsfeldt, Isabel Gonçalves, Pratibha Singh, Jiangming Sun, Karin Conde‐Knape, Nicole N. van der Wel, James M. Roe, Yunpeng Wang, Annelie Shami and Marju Orho‐Melander and has published in prestigious journals such as Journal of the American College of Cardiology, International Journal of Molecular Sciences and European Heart Journal.

In The Last Decade

Mengyu Pan

8 papers receiving 101 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mengyu Pan United States	5	34	23	17	13	12	9	103
Miquel Lledós Spain	7	45 1.3×	10 0.4×	10 0.6×	20 1.5×	26 2.2×	11	118
Elena Díaz‐García Spain	8	69 2.0×	36 1.6×	10 0.6×	53 4.1×	16 1.3×	21	184
David Reyes‐Leiva Spain	8	22 0.6×	15 0.7×	20 1.2×	16 1.2×	17 1.4×	20	168
Bruno Dietrich Germany	9	29 0.9×	24 1.0×	6 0.4×	3 0.2×	4 0.3×	14	121
Ruilin Wu Canada	6	33 1.0×	17 0.7×	3 0.2×	8 0.6×	7 0.6×	14	121
Hatice Mutlu Albayrak Türkiye	7	67 2.0×	13 0.6×	4 0.2×	6 0.5×	17 1.4×	26	147
Yuting Peng China	10	90 2.6×	13 0.6×	6 0.4×	10 0.8×	21 1.8×	21	286
Richard Wlodarski United States	4	18 0.5×	9 0.4×	21 1.2×	4 0.3×	3 0.3×	5	268
Hongbin Wen China	4	11 0.3×	11 0.5×	10 0.6×	3 0.2×	20 1.7×	5	61
Rebecca Signer United States	8	105 3.1×	10 0.4×	5 0.3×	8 0.6×	10 0.8×	14	185

Countries citing papers authored by Mengyu Pan

Since Specialization

Citations

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

Fields of papers citing papers by Mengyu Pan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengyu Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Mengyu Pan. A scholar is included among the top collaborators of Mengyu 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 Mengyu Pan. Mengyu 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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9 of 9 papers shown

Pan, Mengyu, W. Wang, Lea Dib, et al.. (2025). Spatial transcriptomics reveals a key role of fibroblast-like vascular smooth muscle cells in human atherosclerotic cell crosstalk and stability. European Heart Journal.

Zhao, Yuwen, Mengyu Pan, Jing Gan, et al.. (2024). Peripheral biomarkers of Parkinson’s disease and its correlation with clinical symptoms: a case-control study. BMC Neurology. 24(1). 417–417. 1 indexed citations

Pan, Mengyu, Inge K. Amlien, James M. Roe, et al.. (2024). Genetic evidence for the causal effects of C–reactive protein on self-reported habitual sleep duration. Brain Behavior & Immunity - Health. 37. 100754–100754. 6 indexed citations

Pan, Mengyu, James M. Roe, Ron Nudel, et al.. (2023). Circulating S100B levels at birth and risk of six major neuropsychiatric or neurological disorders: a two-sample Mendelian Randomization Study. Translational Psychiatry. 13(1). 174–174. 4 indexed citations

Sun, Jiangming, Pratibha Singh, Annelie Shami, et al.. (2023). Spatial Transcriptional Mapping Reveals Site-Specific Pathways Underlying Human Atherosclerotic Plaque Rupture. Journal of the American College of Cardiology. 81(23). 2213–2227. 54 indexed citations

Pan, Mengyu, Isabel Gonçalves, Andreas Edsfeldt, Jiangming Sun, & Per Swärd. (2023). Genetic Predisposition to Elevated Levels of Circulating ADAM17 Is Associated with the Risk of Severe COVID-19. International Journal of Molecular Sciences. 24(21). 15879–15879. 2 indexed citations

Roe, James M., Didac Vidal‐Piñeiro, Inge K. Amlien, et al.. (2023). Tracing the development and lifespan change of population-level structural asymmetry in the cerebral cortex. eLife. 12. 14 indexed citations

Edsfeldt, Andreas, Jianmin Sun, Mengyu Pan, et al.. (2022). Circulating CD31 reflects endothelial activity and is associated with a lower risk for cardiovascular complications. European Heart Journal. 43(Supplement_2). 8 indexed citations

Wang, Yunpeng, Håkon Grydeland, James M. Roe, et al.. (2021). Associations of circulating C-reactive proteins, APOE ε4, and brain markers for Alzheimer’s disease in healthy samples across the lifespan. Brain Behavior and Immunity. 100. 243–253. 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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