Ying He

6.4k total citations
138 papers, 4.9k citations indexed

About

Ying He is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Ying He has authored 138 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 18 papers in Cardiology and Cardiovascular Medicine and 17 papers in Physiology. Recurrent topics in Ying He's work include Hormonal Regulation and Hypertension (12 papers), Microbial Community Ecology and Physiology (10 papers) and Nitric Oxide and Endothelin Effects (9 papers). Ying He is often cited by papers focused on Hormonal Regulation and Hypertension (12 papers), Microbial Community Ecology and Physiology (10 papers) and Nitric Oxide and Endothelin Effects (9 papers). Ying He collaborates with scholars based in China, Canada and United States. Ying He's co-authors include Rhian M. Touyz, Gláucia E. Callera, Augusto C. Montezano, Álvaro Yogi, Ernesto L. Schiffrin, Guoying Yao, Xiang Xiao, Fengping Wang, Rita C. Tostes and Dylan Burger and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Ying He

134 papers receiving 4.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying He China 37 1.6k 813 785 694 650 138 4.9k
Weidong Wang China 46 2.8k 1.7× 537 0.7× 402 0.5× 522 0.8× 846 1.3× 274 6.4k
Susana Llesuy Argentina 44 1.9k 1.2× 604 0.7× 585 0.7× 1.1k 1.7× 444 0.7× 152 6.6k
Hongxia Li China 40 2.6k 1.6× 283 0.3× 367 0.5× 477 0.7× 658 1.0× 364 6.0k
Hiroshi Inui Japan 38 2.4k 1.4× 884 1.1× 667 0.8× 623 0.9× 1.2k 1.8× 303 6.0k
Lin Lu China 36 1.6k 1.0× 735 0.9× 1.3k 1.7× 406 0.6× 916 1.4× 191 4.8k
C. Kennedy Canada 41 1.7k 1.0× 503 0.6× 509 0.6× 676 1.0× 293 0.5× 118 4.7k
Daniel J. Conklin United States 44 1.6k 1.0× 166 0.2× 644 0.8× 1.3k 1.8× 377 0.6× 146 6.0k
Yoshihisa Nakano Japan 44 3.1k 1.9× 891 1.1× 292 0.4× 639 0.9× 661 1.0× 375 7.8k
Kathryn E. Davis United States 31 1.5k 0.9× 699 0.9× 355 0.5× 1.3k 1.9× 939 1.4× 68 5.1k
Nathan S. Bryan United States 44 1.7k 1.0× 319 0.4× 1.3k 1.7× 4.1k 6.0× 551 0.8× 98 8.3k

Countries citing papers authored by Ying He

Since Specialization
Citations

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

Fields of papers citing papers by Ying He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying He

This figure shows the co-authorship network connecting the top 25 collaborators of Ying He. A scholar is included among the top collaborators of Ying He 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 Ying He. Ying He 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.
Liu, Wenjuan, Haixia Wang, Weijian Zhu, et al.. (2025). Genomic Characterization of a Carbapenem-Resistant Acinetobacter pittii Strain Harboring Chromosome-Borne blaNDM-1 from China. Pathogens. 14(10). 1037–1037.
2.
3.
Li, Yafei, Jing Feng, Lin Deng, et al.. (2025). The possible effects of chili peppers on ADHD in relation to the gut microbiota. Frontiers in Nutrition. 12. 1551650–1551650. 1 indexed citations
4.
5.
Zou, Zhili, Yulan Huang, Michaël Maes, et al.. (2024). Effects of antidepressant on FKBP51 mRNA expression and neuroendocrine hormones in patients with panic disorder. BMC Psychiatry. 24(1). 269–269. 1 indexed citations
6.
Bertagnolli, Mariane, Daniela Ravizzoni Dartora, Pablo Lamata, et al.. (2022). Reshaping the Preterm Heart: Shifting Cardiac Renin-Angiotensin System Towards Cardioprotection in Rats Exposed to Neonatal High-Oxygen Stress. Hypertension. 79(8). 1789–1803. 2 indexed citations
7.
Kraakman, Michael J., Qiuzhong Zhou, Qiongming Liu, et al.. (2021). Adipsin promotes bone marrow adiposity by priming mesenchymal stem cells. eLife. 10. 50 indexed citations
8.
Dartora, Daniela Ravizzoni, Adrien Flahault, Ying He, et al.. (2021). Cardiac Left Ventricle Mitochondrial Dysfunction After Neonatal Exposure to Hyperoxia: Relevance for Cardiomyopathy After Preterm Birth. Hypertension. 79(3). 575–587. 8 indexed citations
9.
Zhang, Ying, et al.. (2020). Survey of risk perception among young military personnel serving in high-altitude regions in early stage of COVID-19 pandemic. SHILAP Revista de lepidopterología. 1 indexed citations
10.
He, Ying, et al.. (2020). Regional Characteristics of risk perception among young military personnel in early stage of COVID-19 outbreak. SHILAP Revista de lepidopterología. 1 indexed citations
11.
He, Ying, et al.. (2019). Targeting off-target effects: endoplasmic reticulum stress and autophagy as effective strategies to enhance temozolomide treatment. SHILAP Revista de lepidopterología. 3 indexed citations
12.
Callera, Gláucia E., Tayze T. Antunes, José Wilson do Nascimento Corrêa, et al.. (2016). Differential renal effects of candesartan at high and ultra-high doses in diabetic mice–potential role of the ACE2/AT2R/Mas axis. Bioscience Reports. 36(5). 33 indexed citations
13.
Thibodeau, Jean-François, Chet E. Holterman, Ying He, et al.. (2016). Vascular Smooth Muscle-Specific EP4 Receptor Deletion in Mice Exacerbates Angiotensin II-Induced Renal Injury. Antioxidants and Redox Signaling. 25(12). 642–656. 9 indexed citations
14.
Vrieze, Jo De, Aaron Marc Saunders, Ying He, et al.. (2015). Ammonia and temperature determine clustering or AD-typing in the anaerobic digestion microbiome. Ghent University Academic Bibliography (Ghent University). 2 indexed citations
15.
Vrieze, Jo De, Aaron Marc Saunders, Ying He, et al.. (2015). Ammonia and temperature determine potential clustering in the anaerobic digestion microbiome. Water Research. 75. 312–323. 276 indexed citations
16.
He, Ying, Wei Xu, Yan Zhou, et al.. (2015). Adiponectin may be a biomarker of early atherosclerosis of smokers and decreased by nicotine through KATP channel in adipocytes. Nutrition. 31(7-8). 955–958. 17 indexed citations
17.
Briones, Ana M., Aurélie Nguyen Dinh Cat, Gláucia E. Callera, et al.. (2012). Adipocytes Produce Aldosterone Through Calcineurin-Dependent Signaling Pathways. Hypertension. 59(5). 1069–1078. 290 indexed citations
18.
Callera, Gláucia E., Álvaro Yogi, Ana M. Briones, et al.. (2011). Vascular proinflammatory responses by aldosterone are mediated via c-Src trafficking to cholesterol-rich microdomains: role of PDGFR. Cardiovascular Research. 91(4). 720–731. 42 indexed citations
19.
Callera, Gláucia E., Ying He, Álvaro Yogi, et al.. (2008). Regulation of the novel Mg2+ transporter transient receptor potential melastatin 7 (TRPM7) cation channel by bradykinin in vascular smooth muscle cells. Journal of Hypertension. 27(1). 155–166. 62 indexed citations
20.
Touyz, Rhian M., Ying He, Danesh Javeshghani, et al.. (2005). Angiotensin II-Dependent Chronic Hypertension and Cardiac Hypertrophy Are Unaffected by gp91phox-Containing NADPH Oxidase. Hypertension. 45(4). 530–537. 104 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Weidong Wang Breakdown of academic impact, for papers by Susana Llesuy Breakdown of academic impact, for papers by Hongxia Li Breakdown of academic impact, for papers by Hiroshi Inui Breakdown of academic impact, for papers by Lin Lu Breakdown of academic impact, for papers by C. Kennedy Breakdown of academic impact, for papers by Daniel J. Conklin Breakdown of academic impact, for papers by Yoshihisa Nakano Breakdown of academic impact, for papers by Kathryn E. Davis Breakdown of academic impact, for papers by Nathan S. Bryan
Rankless by CCL
2026