Chengran Yang

1.9k total citations
19 papers, 174 citations indexed

About

Chengran Yang is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Chengran Yang has authored 19 papers receiving a total of 174 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Physiology. Recurrent topics in Chengran Yang's work include Genetic Associations and Epidemiology (6 papers), Alzheimer's disease research and treatments (6 papers) and Bioinformatics and Genomic Networks (5 papers). Chengran Yang is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Alzheimer's disease research and treatments (6 papers) and Bioinformatics and Genomic Networks (5 papers). Chengran Yang collaborates with scholars based in United States, Spain and Netherlands. Chengran Yang's co-authors include Joseph D. Dougherty, Allison M. Lake, David R. O’Brien, Jasbir Dalal, Darshan Sapkota, Holly Kordasiewicz, Kathleen M. Schoch, Mark S. Sands, Erica Koval and Timothy M. Miller and has published in prestigious journals such as Nature Medicine, Nature Communications and Journal of Neuroscience.

In The Last Decade

Chengran Yang

15 papers receiving 173 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chengran Yang United States	6	111	37	31	31	23	19	174
Valentina Melzi Italy	7	136 1.2×	74 2.0×	64 2.1×	38 1.2×	12 0.5×	14	211
Adam R. Fenton United States	5	183 1.6×	43 1.2×	24 0.8×	11 0.4×	16 0.7×	11	276
Anika Bongaarts Netherlands	7	74 0.7×	29 0.8×	43 1.4×	22 0.7×	45 2.0×	7	203
Claudio Ballabio Italy	5	110 1.0×	20 0.5×	50 1.6×	27 0.9×	9 0.4×	6	199
Diego Lopergolo Italy	6	57 0.5×	55 1.5×	22 0.7×	9 0.3×	23 1.0×	18	142
Mikiko Tada Japan	7	148 1.3×	83 2.2×	39 1.3×	24 0.8×	22 1.0×	21	225
Ricardo Romero‐Guevara Italy	9	145 1.3×	61 1.6×	51 1.6×	11 0.4×	13 0.6×	10	229
Shreya Chand United States	6	158 1.4×	22 0.6×	21 0.7×	13 0.4×	12 0.5×	8	243
Antonella Sferra Italy	8	151 1.4×	19 0.5×	18 0.6×	16 0.5×	43 1.9×	12	246
Maria Giovanna Garone Italy	8	175 1.6×	102 2.8×	65 2.1×	31 1.0×	16 0.7×	14	245

Countries citing papers authored by Chengran Yang

Since Specialization

Citations

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

Fields of papers citing papers by Chengran Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengran Yang

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

All Works

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19 of 19 papers shown

Yang, Chengran, Priyanka Gorijala, Jigyasha Timsina, et al.. (2025). Proteomic polygenic risk scores of age-related plasma protein levels reveal a role for Metalloproteinase inhibitor 2 (TIMP2) in cognitive performance. Neurobiology of Aging. 157. 68–78.

Ali, Muhammad, Menghan Liu, Alexa Pichet Binette, et al.. (2025). Shared and disease-specific pathways in frontotemporal dementia and Alzheimer’s and Parkinson’s diseases. Nature Medicine. 31(8). 2567–2577. 4 indexed citations

Yang, Chengran, Priyanka Gorijala, Jigyasha Timsina, et al.. (2025). European and African ancestry-specific plasma protein-QTL and metabolite-QTL analyses identify ancestry-specific T2D effector proteins and metabolites. Nature Communications. 16(1). 7412–7412. 1 indexed citations

Chemparathy, Augustine, Yann Le Guen, Yi Zeng, et al.. (2024). A 3′UTR Insertion Is a Candidate Causal Variant at the TMEM106B Locus Associated With Increased Risk for FTLD-TDP. Neurology Genetics. 10(1). e200124–e200124. 5 indexed citations

Timsina, Jigyasha, Priyanka Gorijala, Chengran Yang, et al.. (2024). TOPMed imputed genomics enhances genomic atlas of the human proteome in brain, cerebrospinal fluid, and plasma. Scientific Data. 11(1). 387–387. 3 indexed citations

Western, Daniel, Jigyasha Timsina, Priyanka Gorijala, et al.. (2024). A genetic and proteomic comparison of key AD biomarkers across tissues. Alzheimer s & Dementia. 20(9). 6423–6440. 1 indexed citations

Wang, Lihua, Chengran Yang, Jigyasha Timsina, et al.. (2023). CSF proteo‐genomic studies identify an interaction between LRRK2 genetic variants and GRN, GPNMB, CTSB, and ENTPD1. Alzheimer s & Dementia. 19(S1). 1 indexed citations

Loomis, Stephanie, Elizabeth Fisher, Arie Gafson, et al.. (2023). Genome-wide study of longitudinal brain imaging measures of multiple sclerosis progression across six clinical trials. Scientific Reports. 13(1). 14313–14313. 1 indexed citations

Wisch, Julie K., Omar H. Butt, Brian A. Gordon, et al.. (2022). Proteomic clusters underlie heterogeneity in preclinical Alzheimer’s disease progression. Brain. 146(7). 2944–2956. 5 indexed citations

10.

Yang, Chengran, Yuegao Huang, Daniel Coman, et al.. (2022). White matter abnormalities in the Hdc knockout mouse, a model of tic and OCD pathophysiology. Frontiers in Molecular Neuroscience. 15. 1037481–1037481. 2 indexed citations

11.

Yang, Chengran, Anne M. Fagan, Richard J. Perrin, et al.. (2022). Mendelian randomization and genetic colocalization infer the effects of the multi-tissue proteome on 211 complex disease-related phenotypes. Genome Medicine. 14(1). 140–140. 18 indexed citations

12.

Nykänen, Niko-Petteri, Chengran Yang, Oscar Harari, et al.. (2022). Pleiotropic effect of LRRK2 on Parkinson‐associated proteins and processing of pathological alpha‐synuclein in myeloid cells. Alzheimer s & Dementia. 18(S4).

13.

Yang, Chengran, Ferdian Thung, & David Lo. (2022). Efficient Search of Live-Coding Screencasts from Online Videos. 73–77. 3 indexed citations

14.

Sung, Yun Ju, Chengran Yang, Hervé Rhinn, et al.. (2021). Multi‐tissue proteomic profiling for genetically defined Alzheimer disease cases. Alzheimer s & Dementia. 17(S5).

15.

Ibáñez, Laura, Jorge A. Bahena, Umber Dube, et al.. (2020). A comprehensive analysis of dementia cerebrospinal fluid biomarkers using GWAs, polygenic risk scores and Mendelian randomization in Parkinson’s disease. Alzheimer s & Dementia. 16(S3).

16.

Sapkota, Darshan, Allison M. Lake, Wei Yang, et al.. (2019). Cell-Type-Specific Profiling of Alternative Translation Identifies Regulated Protein Isoform Variation in the Mouse Brain. Cell Reports. 26(3). 594–607.e7. 54 indexed citations

17.

Dalal, Jasbir, Chengran Yang, Darshan Sapkota, et al.. (2017). Quantitative Nucleotide Level Analysis of Regulation of Translation in Response to Depolarization of Cultured Neural Cells. Frontiers in Molecular Neuroscience. 10. 9–9. 8 indexed citations

18.

Hoye, Mariah L., Erica Koval, Amy J. Wegener, et al.. (2017). MicroRNA Profiling Reveals Marker of Motor Neuron Disease in ALS Models. Journal of Neuroscience. 37(22). 5574–5586. 61 indexed citations

19.

Dougherty, Joseph D., Chengran Yang, & Allison M. Lake. (2017). Systems biology in the central nervous system: A brief perspective on essential recent advancements. Current Opinion in Systems Biology. 3. 67–76. 7 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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