Thomas S. Wingo

16.8k total citations · 2 hit papers
79 papers, 3.3k citations indexed

About

Thomas S. Wingo is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Thomas S. Wingo has authored 79 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 27 papers in Physiology and 25 papers in Genetics. Recurrent topics in Thomas S. Wingo's work include Alzheimer's disease research and treatments (22 papers), Genetic Associations and Epidemiology (18 papers) and Bioinformatics and Genomic Networks (17 papers). Thomas S. Wingo is often cited by papers focused on Alzheimer's disease research and treatments (22 papers), Genetic Associations and Epidemiology (18 papers) and Bioinformatics and Genomic Networks (17 papers). Thomas S. Wingo collaborates with scholars based in United States, China and Canada. Thomas S. Wingo's co-authors include Aliza P. Wingo, Allan I. Levey, James J. Lah, Nicholas T. Seyfried, Madhav Thambisetty, Duc M. Duong, David A. Bennett, Eric B. Dammer, Marla Gearing and Ekaterina S. Gerasimov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Thomas S. Wingo

72 papers receiving 3.3k 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.

Integrating human brain proteomes with genome-wide association data implicates new proteins in Alzheimer’s disease pathogenesis

2021 201 citations Aliza P. Wingo, Yue Liu et al. profile →
A national cohort study (2000–2018) of long-term air pollution exposure and incident dementia in older adults in the United States

2021 156 citations Liuhua Shi, Kyle Steenland et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas S. Wingo United States	30	1.4k	1.0k	658	536	444	79	3.3k
Feng Bai China	45	2.4k 1.8×	1.0k 1.0×	1.1k 1.6×	229 0.4×	248 0.6×	177	7.1k
Lin Tan China	31	1.5k 1.1×	1.6k 1.6×	1.2k 1.8×	263 0.5×	334 0.8×	85	4.6k
David W. Fardo United States	34	913 0.7×	1.8k 1.8×	1.0k 1.5×	333 0.6×	723 1.6×	144	4.1k
Benedetta Nacmias Italy	39	1.7k 1.2×	2.2k 2.1×	1.3k 1.9×	440 0.8×	588 1.3×	212	5.3k
Karen A. Mather Australia	31	940 0.7×	1.0k 1.0×	885 1.3×	330 0.6×	198 0.4×	96	3.4k
Christopher M. Filley United States	42	1.5k 1.1×	1.4k 1.3×	950 1.4×	286 0.5×	1.3k 3.0×	153	6.7k
Luisa Benussi Italy	39	1.7k 1.3×	2.3k 2.3×	726 1.1×	305 0.6×	1.3k 2.9×	138	5.0k
Stephen Newhouse United Kingdom	29	955 0.7×	676 0.7×	376 0.6×	435 0.8×	265 0.6×	57	2.5k
Katie Lunnon United Kingdom	35	3.2k 2.4×	1.4k 1.4×	414 0.6×	961 1.8×	337 0.8×	80	5.4k
Valentina Escott‐Price United Kingdom	36	1.2k 0.9×	853 0.8×	793 1.2×	1.6k 3.0×	266 0.6×	123	3.7k

Countries citing papers authored by Thomas S. Wingo

Since Specialization

Citations

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

Fields of papers citing papers by Thomas S. Wingo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas S. Wingo. 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 Thomas S. Wingo. The network helps show where Thomas S. Wingo may publish in the future.

Co-authorship network of co-authors of Thomas S. Wingo

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas S. Wingo. A scholar is included among the top collaborators of Thomas S. Wingo 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 Thomas S. Wingo. Thomas S. Wingo 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

Hüls, Anke, Youran Tan, Zhenjiang Li, et al.. (2025). Metabolic dysregulation in Alzheimer's disease: A brain metabolomics approach. Alzheimer s & Dementia. 21(9). e70528–e70528.

Christensen, Grace M., Zhenjiang Li, Lance A. Waller, et al.. (2024). Joint effects of air pollution and neighborhood socioeconomic status on cognitive decline - Mediation by depression, high cholesterol levels, and high blood pressure. The Science of The Total Environment. 923. 171535–171535. 2 indexed citations

Gupta, Priya, Marco Galimberti, Yue Liu, et al.. (2024). A genome-wide investigation into the underlying genetic architecture of personality traits and overlap with psychopathology. Nature Human Behaviour. 8(11). 2235–2249. 12 indexed citations

Li, Zhenjiang, Donghai Liang, Stefanie Ebelt, et al.. (2024). Differential DNA methylation in the brain as potential mediator of the association between traffic‐related PM_2.5 and neuropathology markers of Alzheimer's disease. Alzheimer s & Dementia. 20(4). 2538–2551. 19 indexed citations

Christensen, Grace M., Zhenjiang Li, Donghai Liang, et al.. (2024). Association of PM _2.5 Exposure and Alzheimer Disease Pathology in Brain Bank Donors—Effect Modification by APOE Genotype. Neurology. 102(5). e209162–e209162. 13 indexed citations

Wingo, Aliza P., Yue Liu, Ekaterina S. Gerasimov, et al.. (2023). Sex differences in brain protein expression and disease. Nature Medicine. 29(9). 2224–2232. 37 indexed citations

Haque, Rafi U., Caroline M Watson, Jiaqi Liu, et al.. (2023). A protein panel in cerebrospinal fluid for diagnostic and predictive assessment of Alzheimer’s disease. Science Translational Medicine. 15(712). eadg4122–eadg4122. 26 indexed citations

Wingo, Thomas S., Ekaterina S. Gerasimov, Yue Liu, et al.. (2022). Integrating human brain proteomes with genome-wide association data implicates novel proteins in post-traumatic stress disorder. Molecular Psychiatry. 27(7). 3075–3084. 17 indexed citations

Trumpff, Caroline, Edward Owusu-Ansah, Hans‐Ulrich Klein, et al.. (2022). Mitochondrial respiratory chain protein co-regulation in the human brain. Heliyon. 8(5). e09353–e09353. 5 indexed citations

10.

Wingo, Aliza P., Mengli Wang, Jiaqi Liu, et al.. (2022). Brain microRNAs are associated with variation in cognitive trajectory in advanced age. Translational Psychiatry. 12(1). 47–47. 15 indexed citations

11.

Harerimana, Nadia V., Yue Liu, Ekaterina S. Gerasimov, et al.. (2021). Genetic Evidence Supporting a Causal Role of Depression in Alzheimer’s Disease. Biological Psychiatry. 92(1). 25–33. 37 indexed citations

12.

Wingo, Thomas S., Yue Liu, Ekaterina S. Gerasimov, et al.. (2021). Brain proteome-wide association study implicates novel proteins in depression pathogenesis. Nature Neuroscience. 24(6). 810–817. 98 indexed citations

13.

Hüls, Anke, Chloe Robins, Karen N. Conneely, et al.. (2021). Brain DNA Methylation Patterns in CLDN5 Associated With Cognitive Decline. Biological Psychiatry. 91(4). 389–398. 31 indexed citations

14.

Yu, Lei, Patricia A. Boyle, Aliza P. Wingo, et al.. (2021). Neuropathologic Correlates of Human Cortical Proteins in Alzheimer Disease and Related Dementias. Neurology. 98(10). e1031–e1039. 8 indexed citations

15.

Huang, Yanting, Xiaobo Sun, Shaojun Yu, et al.. (2021). A machine learning approach to brain epigenetic analysis reveals kinases associated with Alzheimer’s disease. Nature Communications. 12(1). 4472–4472. 38 indexed citations

16.

Shi, Liuhua, Kyle Steenland, Haomin Li, et al.. (2021). A national cohort study (2000–2018) of long-term air pollution exposure and incident dementia in older adults in the United States. Nature Communications. 12(1). 6754–6754. 156 indexed citations breakdown →

17.

Vattathil, Selina, Yue Liu, Nadia V. Harerimana, et al.. (2021). A Genetic Study of Cerebral Atherosclerosis Reveals Novel Associations with NTNG1 and CNOT3. Genes. 12(6). 815–815. 2 indexed citations

18.

Wingo, Aliza P., Wen Fan, Duc M. Duong, et al.. (2020). Shared proteomic effects of cerebral atherosclerosis and Alzheimer’s disease on the human brain. Nature Neuroscience. 23(6). 696–700. 100 indexed citations

19.

Wingo, Aliza P., Eric B. Dammer, Michael S. Breen, et al.. (2019). Large-scale proteomic analysis of human brain identifies proteins associated with cognitive trajectory in advanced age. Nature Communications. 10(1). 1619–1619. 128 indexed citations

20.

Xu, Zihui, Mickaël Poidevin, Xuekun Li, et al.. (2013). Expanded GGGGCC repeat RNA associated with amyotrophic lateral sclerosis and frontotemporal dementia causes neurodegeneration. Proceedings of the National Academy of Sciences. 110(19). 7778–7783. 256 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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