Bowen Tang

937 total citations
27 papers, 522 citations indexed

About

Bowen Tang is a scholar working on Genetics, Molecular Biology and Aging. According to data from OpenAlex, Bowen Tang has authored 27 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 8 papers in Molecular Biology and 6 papers in Aging. Recurrent topics in Bowen Tang's work include Genetic Associations and Epidemiology (7 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers) and Epigenetics and DNA Methylation (5 papers). Bowen Tang is often cited by papers focused on Genetic Associations and Epidemiology (7 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers) and Epigenetics and DNA Methylation (5 papers). Bowen Tang collaborates with scholars based in Sweden, United States and China. Bowen Tang's co-authors include Shuai Yuan, Susanna C. Larsson, Sara Hägg, Xia Jiang, Jie Zheng, Kathy S. Xue, Ying Xiong, Qi‐qiang He, Jia-Sheng Wang and Lili Tang and has published in prestigious journals such as Brain, The Science of The Total Environment and Neurology.

In The Last Decade

Bowen Tang

25 papers receiving 517 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bowen Tang Sweden 14 111 90 76 68 67 27 522
A. C. T. M. Peeters Netherlands 11 75 0.7× 73 0.8× 94 1.2× 67 1.0× 66 1.0× 14 518
Yu An China 13 44 0.4× 157 1.7× 153 2.0× 116 1.7× 84 1.3× 49 689
Ivan Cancarevic United States 14 33 0.3× 112 1.2× 84 1.1× 78 1.1× 40 0.6× 47 524
Paolo Cavarzere Italy 15 103 0.9× 165 1.8× 203 2.7× 129 1.9× 40 0.6× 66 638
Der-Shin Ke Taiwan 15 38 0.3× 99 1.1× 46 0.6× 108 1.6× 127 1.9× 30 624
Norma C. Grandi Germany 13 74 0.7× 49 0.5× 58 0.8× 92 1.4× 70 1.0× 20 895
Marta Ledesma Spain 11 47 0.4× 176 2.0× 58 0.8× 115 1.7× 70 1.0× 14 720
Apostolos Gkatzionis United Kingdom 7 177 1.6× 81 0.9× 53 0.7× 37 0.5× 54 0.8× 15 482
Uzi Milman Israel 13 37 0.3× 139 1.5× 103 1.4× 100 1.5× 81 1.2× 27 767
Judith Balk United States 12 79 0.7× 29 0.3× 82 1.1× 57 0.8× 25 0.4× 20 698

Countries citing papers authored by Bowen Tang

Since Specialization
Citations

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

Fields of papers citing papers by Bowen Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bowen Tang

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

All Works

20 of 20 papers shown
1.
2.
Zhang, Bowen, Tian Xia, Bowen Tang, et al.. (2025). miR-145-enriched BMSCs-derived exosomes ameliorate neurogenic erectile dysfunction in aged rats via TGFBR2 inhibition. Regenerative Therapy. 29. 455–465.
3.
Liu, Xinyu, et al.. (2025). PRMT5-FOXM1 axis activates β-catenin/IL8 signaling to drive angiogenesis of gastric cancer. Cellular Signalling. 134. 111925–111925. 2 indexed citations
4.
Imahori, Y, Chenxi Qin, Bowen Tang, & Sara Hägg. (2024). Comprehensive analysis of molecular, physiological, and functional biomarkers of aging with neurological diseases using Mendelian randomization. GeroScience. 47(3). 2959–2972. 3 indexed citations
5.
6.
Tang, Bowen, Ge Bai, Arvid Sjölander, et al.. (2024). Effects from medications on functional biomarkers of aging in three longitudinal studies of aging in Sweden. Aging Cell. 23(6). e14132–e14132. 1 indexed citations
7.
Mostafaei, Shayan, Bowen Tang, Nancy L. Pedersen, et al.. (2024). Associations between epigenetic aging and diabetes mellitus in a Swedish longitudinal study. GeroScience. 46(5). 5003–5014. 11 indexed citations
8.
Mak, Jonathan K. L., Ida Karlsson, Bowen Tang, et al.. (2023). Temporal Dynamics of Epigenetic Aging and Frailty From Midlife to Old Age. The Journals of Gerontology Series A. 79(10). 13 indexed citations
9.
McMurran, Christopher E, Yunzhang Wang, Jonathan K. L. Mak, et al.. (2023). Advanced biological ageing predicts future risk for neurological diagnoses and clinical examination findings. Brain. 146(12). 4891–4902. 9 indexed citations
10.
Tang, Bowen, Xia Li, Yunzhang Wang, et al.. (2023). Longitudinal associations between use of antihypertensive, antidiabetic, and lipid-lowering medications and biological aging. GeroScience. 45(3). 2065–2078. 15 indexed citations
11.
Tang, Bowen, Kathy S. Xue, Jia-Sheng Wang, Phillip L. Williams, & Lili Tang. (2023). Bacteria pyruvate metabolism modulates AFB1 toxicity in Caenorhabditis elegans. The Science of The Total Environment. 900. 165809–165809. 6 indexed citations
12.
Mak, Jonathan K. L., Laura Kananen, Chenxi Qin, et al.. (2023). Unraveling the metabolic underpinnings of frailty using multicohort observational and Mendelian randomization analyses. Aging Cell. 22(8). e13868–e13868. 15 indexed citations
13.
Wang, Yunzhang, et al.. (2022). Dynamic patterns of blood lipids and DNA methylation in response to statin therapy. Clinical Epigenetics. 14(1). 153–153. 6 indexed citations
14.
Tang, Bowen, Zhaozhong Zhu, Peter Kraft, et al.. (2022). A genome-wide cross-trait analysis identifies shared loci and causal relationships of type 2 diabetes and glycaemic traits with polycystic ovary syndrome. Diabetologia. 65(9). 1483–1494. 32 indexed citations
15.
Tang, Bowen, Pernilla Wiebert, Sara Hägg, et al.. (2022). Occupational inhalable agents constitute major risk factors for rheumatoid arthritis, particularly in the context of genetic predisposition and smoking. Annals of the Rheumatic Diseases. 82(3). 316–323. 30 indexed citations
16.
Tang, Bowen, Weihua Meng, Sara Hägg, Stephen Burgess, & Xia Jiang. (2021). Reciprocal interaction between depression and pain: results from a comprehensive bidirectional Mendelian randomization study and functional annotation analysis. Pain. 163(1). e40–e48. 33 indexed citations
17.
Tang, Bowen, Shuai Yuan, Ying Xiong, Qi‐qiang He, & Susanna C. Larsson. (2020). Major depressive disorder and cardiometabolic diseases: a bidirectional Mendelian randomisation study. Diabetologia. 63(7). 1305–1311. 73 indexed citations
18.
Tang, Bowen, Phillip L. Williams, Kathy S. Xue, Jia-Sheng Wang, & Lili Tang. (2020). Detoxification mechanisms of nickel sulfate in nematode Caenorhabditis elegans. Chemosphere. 260. 127627–127627. 17 indexed citations
19.
Tang, Bowen, Huwenbo Shi, Lars Alfredsson, et al.. (2020). Obesity‐Related Traits and the Development of Rheumatoid Arthritis: Evidence From Genetic Data. Arthritis & Rheumatology. 73(2). 203–211. 30 indexed citations
20.
Tang, Bowen, Ping Tong, Kathy S. Xue, et al.. (2019). High-throughput assessment of toxic effects of metal mixtures of cadmium(Cd), lead(Pb), and manganese(Mn) in nematode Caenorhabditis elegans. Chemosphere. 234. 232–241. 54 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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