Tian Ge

16.2k total citations · 3 hit papers
89 papers, 3.8k citations indexed

About

Tian Ge is a scholar working on Genetics, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Tian Ge has authored 89 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Genetics, 25 papers in Cognitive Neuroscience and 18 papers in Molecular Biology. Recurrent topics in Tian Ge's work include Genetic Associations and Epidemiology (29 papers), Functional Brain Connectivity Studies (21 papers) and Neural dynamics and brain function (10 papers). Tian Ge is often cited by papers focused on Genetic Associations and Epidemiology (29 papers), Functional Brain Connectivity Studies (21 papers) and Neural dynamics and brain function (10 papers). Tian Ge collaborates with scholars based in United States, China and United Kingdom. Tian Ge's co-authors include Jordan W. Smoller, Chia‐Yen Chen, Yen‐Chen Anne Feng, Yang Ni, B.T. Thomas Yeo, Avram J. Holmes, Mert R. Sabuncu, Jianfeng Feng, Ru Kong and Csaba Orbán and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Tian Ge

79 papers receiving 3.7k 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.

Polygenic prediction via Bayesian regression and continuous shrinkage priors

2019 823 citations Tian Ge, Chia‐Yen Chen et al. Nature Communications profile →
Global signal regression strengthens association between resting-state functional connectivity and behavior

2019 242 citations Jingwei Li, Ru Kong et al. profile →
Principles and methods for transferring polygenic risk scores across global populations

2023 103 citations Linda Kachuri, Nilanjan Chatterjee et al. Nature Reviews Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tian Ge United States	28	1.5k	1.1k	606	565	559	89	3.8k
Fidel Alfaro‐Almagro United Kingdom	19	1.5k 1.0×	447 0.4×	894 1.5×	387 0.7×	280 0.5×	35	3.5k
J. Eric Schmitt United States	41	1.7k 1.1×	959 0.9×	980 1.6×	1.2k 2.1×	543 1.0×	119	5.1k
Frank Mentch United States	19	751 0.5×	592 0.5×	297 0.5×	359 0.6×	310 0.6×	63	2.3k
Matthew S. Panizzon United States	36	2.2k 1.4×	652 0.6×	1.0k 1.7×	461 0.8×	970 1.7×	171	5.1k
Jakob Seidlitz United States	31	2.6k 1.7×	289 0.3×	1.2k 2.0×	456 0.8×	467 0.8×	94	3.9k
Weihua Yue China	29	858 0.6×	818 0.7×	254 0.4×	1.1k 2.0×	195 0.3×	200	3.1k
Martha R. Herbert United States	30	3.4k 2.2×	1.3k 1.2×	588 1.0×	490 0.9×	173 0.3×	63	5.0k
Alison Pattie United Kingdom	35	933 0.6×	495 0.5×	1.1k 1.7×	777 1.4×	657 1.2×	74	5.0k
Zdenka Pausová Canada	43	777 0.5×	651 0.6×	514 0.8×	1.3k 2.3×	246 0.4×	142	5.2k
Simon R. Cox United Kingdom	38	1.8k 1.2×	466 0.4×	1.3k 2.1×	974 1.7×	596 1.1×	173	5.6k

Countries citing papers authored by Tian Ge

Since Specialization

Citations

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

Fields of papers citing papers by Tian Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tian Ge

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

Shen, Zhenzhen, et al.. (2025). Associations of clinical biomarker-based biological aging with suicide attempts and suicidal ideation: evidence from 124,529 UK Biobank participants. Translational Psychiatry. 15(1). 204–204.

Kopál, Jakub, Guillaume Huguet, Zohra Saci, et al.. (2025). A pattern-learning algorithm associates copy number variations with brain structure and behavioural variables in an adolescent population cohort. Nature Biomedical Engineering. 10(2). 354–369.

Tian, Ruoyu, Tian Ge, Hyeokmoon Kweon, et al.. (2024). Whole-exome sequencing in UK Biobank reveals rare genetic architecture for depression. Nature Communications. 15(1). 1755–1755. 11 indexed citations

Zhou, Rong, et al.. (2024). Echinacoside improves the memory impairment of senescence accelerated mouse‐prone 8 (SAMP8) mice via inhibiting glial activation. Alzheimer s & Dementia. 20(S6).

Ostrom, Quinn T., Tian Ge, Beatrice Melin, et al.. (2024). Genome-wide polygenic risk scores predict risk of glioma and molecular subtypes. Neuro-Oncology. 26(10). 1933–1944. 5 indexed citations

Kachuri, Linda, Nilanjan Chatterjee, Jibril Hirbo, et al.. (2023). Principles and methods for transferring polygenic risk scores across global populations. Nature Reviews Genetics. 25(1). 8–25. 103 indexed citations breakdown →

Yang, Hyun‐Sik, Daniel W. Kang, Vilas Menon, et al.. (2023). Cell-type-specific Alzheimer’s disease polygenic risk scores are associated with distinct disease processes in Alzheimer’s disease. Nature Communications. 14(1). 7659–7659. 16 indexed citations

Lam, Max, Chia‐Yen Chen, W. David Hill, et al.. (2022). Collective genomic segments with differential pleiotropic patterns between cognitive dimensions and psychopathology. Nature Communications. 13(1). 6868–6868. 5 indexed citations

Benkarim, Oualid, Casey Paquola, Bo‐yong Park, et al.. (2022). Population heterogeneity in clinical cohorts affects the predictive accuracy of brain imaging. PLoS Biology. 20(4). e3001627–e3001627. 26 indexed citations

10.

Li, Jingwei, Danilo Bzdok, Angela Tam, et al.. (2022). Cross-ethnicity/race generalization failure of behavioral prediction from resting-state functional connectivity. Science Advances. 8(11). eabj1812–eabj1812. 68 indexed citations

11.

Anderson, Kevin, Tian Ge, Ru Kong, et al.. (2021). Heritability of individualized cortical network topography. Proceedings of the National Academy of Sciences. 118(9). 50 indexed citations

12.

Spreng, R. Nathan, Laetitia Mwilambwe-Tshilobo, Alain Dagher, et al.. (2021). Publisher Correction: The default network of the human brain is associated with perceived social isolation. Nature Communications. 12(1). 3202–3202. 2 indexed citations

13.

Kong, Ru, Qing Yang, Evan M. Gordon, et al.. (2021). Individual-Specific Areal-Level Parcellations Improve Functional Connectivity Prediction of Behavior. Cerebral Cortex. 31(10). 4477–4500. 123 indexed citations

14.

Spreng, R. Nathan, Laetitia Mwilambwe-Tshilobo, Alain Dagher, et al.. (2020). The default network of the human brain is associated with perceived social isolation. Nature Communications. 11(1). 6393–6393. 136 indexed citations

15.

Mealer, Robert G., Bruce G. Jenkins, Chia‐Yen Chen, et al.. (2020). The schizophrenia risk locus in SLC39A8 alters brain metal transport and plasma glycosylation. Scientific Reports. 10(1). 13162–13162. 44 indexed citations

16.

Ge, Tian, et al.. (2020). The complete mitochondrial genome of Tetraclita japonica (Crustacea: Maxillopoda: Sessilia) from Zhejiang (China) and phylogeny within Sessilia. SHILAP Revista de lepidopterología. 5(3). 2913–2915. 2 indexed citations

17.

Anderson, Kevin, Meghan A. Collins, Rowena Chin, et al.. (2020). Transcriptional and imaging-genetic association of cortical interneurons, brain function, and schizophrenia risk. Nature Communications. 11(1). 2889–2889. 63 indexed citations

18.

Zheng, Xiaotong, et al.. (2019). Fault Diagnosis Method of Motor Bearing Based on Improved GAN Algorithm. Journal of Northeastern University. 40(12). 1679–1684. 5 indexed citations

19.

Ge, Tian, Chia‐Yen Chen, Alysa E. Doyle, et al.. (2018). The Shared Genetic Basis of Educational Attainment and Cerebral Cortical Morphology. Cerebral Cortex. 29(8). 3471–3481. 18 indexed citations

20.

Elliott, Maxwell L., Daniel W. Belsky, Kevin Anderson, et al.. (2018). A Polygenic Score for Higher Educational Attainment is Associated with Larger Brains. Cerebral Cortex. 29(8). 3496–3504. 25 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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