Haoming He

597 total citations · 1 hit paper
40 papers, 308 citations indexed

About

Haoming He is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology and Epidemiology. According to data from OpenAlex, Haoming He has authored 40 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 11 papers in Nephrology and 8 papers in Epidemiology. Recurrent topics in Haoming He's work include Acute Kidney Injury Research (9 papers), Chronic Kidney Disease and Diabetes (8 papers) and Cardiovascular Function and Risk Factors (6 papers). Haoming He is often cited by papers focused on Acute Kidney Injury Research (9 papers), Chronic Kidney Disease and Diabetes (8 papers) and Cardiovascular Function and Risk Factors (6 papers). Haoming He collaborates with scholars based in China, Australia and Bangladesh. Haoming He's co-authors include Kaiyang Lin, Shuwen Zheng, Yingying Xie, Zhe Wang, Yihong Sun, Yan Han, Yike Li, Yanxiang Gao, Qiang Chen and Songjing Shi and has published in prestigious journals such as Scientific Reports, European Heart Journal and Medicine.

In The Last Decade

Haoming He

36 papers receiving 305 citations

Hit Papers

The synergistic effect of the triglyceride-glucose index ... 2025 2026 2025 5 10 15
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.

  1. The synergistic effect of the triglyceride-glucose index and a body shape index on cardiovascular mortality: the construction of a novel cardiovascular risk marker
    2025 17 citations Haoming He, Yingying Xie et al. Cardiovascular Diabetology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haoming He China 9 90 87 85 46 43 40 308
Hilmi Erdem Sümbül Türkiye 10 121 1.3× 49 0.6× 57 0.7× 39 0.8× 47 1.1× 81 301
Kensuke Matsushita France 10 145 1.6× 71 0.8× 46 0.5× 99 2.2× 63 1.5× 32 349
Ditte Marie Kirkegaard-Klitbo Denmark 9 50 0.6× 51 0.6× 124 1.5× 63 1.4× 39 0.9× 17 312
Jialing He China 10 86 1.0× 51 0.6× 157 1.8× 13 0.3× 54 1.3× 42 355
Hazem Ayesh United States 10 55 0.6× 46 0.5× 51 0.6× 32 0.7× 46 1.1× 31 298
Stylianos Daios Greece 11 173 1.9× 114 1.3× 64 0.8× 22 0.5× 62 1.4× 55 360
Yuk‐Ying Chan Taiwan 6 60 0.7× 88 1.0× 69 0.8× 15 0.3× 64 1.5× 10 311
Song Peng Ang United States 12 154 1.7× 30 0.3× 115 1.4× 35 0.8× 63 1.5× 77 370
Xian‐Geng Hou China 11 136 1.5× 43 0.5× 82 1.0× 17 0.4× 78 1.8× 32 336
Boris Starčević Croatia 11 141 1.6× 27 0.3× 96 1.1× 25 0.5× 76 1.8× 46 383

Countries citing papers authored by Haoming He

Since Specialization
Citations

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

Fields of papers citing papers by Haoming He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoming He

This figure shows the co-authorship network connecting the top 25 collaborators of Haoming He. A scholar is included among the top collaborators of Haoming 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 Haoming He. Haoming 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, Ranran, Hu Xu, Yongshuai Yang, et al.. (2025). Design and calibration of the volatiles ion trap analyzer for the Tianwen-2 Mission. Zhongguo kexue. Wulixue Lixue Tianwenxue. 55(7). 279513–279513.
2.
Li, Yike, Haoming He, Nan Li, et al.. (2025). Joint association of plasma ceramide and renal function with coronary artery lesion severity: The CRUISE-MET study. Journal of clinical lipidology. 19(6). 1586–1597. 1 indexed citations
3.
Xie, Yingying, Hao Chen, Yanxiang Gao, et al.. (2025). The Relationship of Insulin Resistance and Systemic Inflammation with Cardiovascular Outcomes in Non-Diabetic Patients Undergoing Coronary Artery Bypass Grafting. Journal of Inflammation Research. Volume 18. 9031–9043. 1 indexed citations
4.
Sheng, Zhaoxue, et al.. (2025). Single-Center Analysis of Soluble TREM2 as a Biomarker in Coronary Microvascular Dysfunction: A Cross-Sectional Study. Journal of Clinical Medicine. 14(6). 1816–1816.
5.
He, Haoming, et al.. (2024). Regulating spatiotemporal dynamics for a delay Gierer–Meinhardt model. Physica A Statistical Mechanics and its Applications. 637. 129603–129603. 4 indexed citations
6.
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Wang, Zhe, Haoming He, Yingying Xie, et al.. (2024). Non-insulin-based insulin resistance indexes in predicting atrial fibrillation recurrence following ablation: a retrospective study. Cardiovascular Diabetology. 23(1). 87–87. 26 indexed citations
8.
Li, Jie, Yingying Xie, Shuwen Zheng, et al.. (2024). Targeting autophagy in diabetic cardiomyopathy: From molecular mechanisms to pharmacotherapy. Biomedicine & Pharmacotherapy. 175. 116790–116790. 5 indexed citations
9.
10.
He, Haoming, Yingying Xie, Qiang Chen, et al.. (2024). The additive effect of the triglyceride-glucose index and estimated glucose disposal rate on long-term mortality among individuals with and without diabetes: a population-based study. Cardiovascular Diabetology. 23(1). 307–307. 39 indexed citations
11.
Wang, Zhe, et al.. (2023). Relationship Between Epicardial Adipose Tissue Volume and Recurrence After Ablation in Premature Ventricular Complexes. Circulation Journal. 88(7). 1047–1054. 4 indexed citations
12.
He, Haoming, et al.. (2023). Control of tipping in a small-world network model via a novel dynamic delayed feedback scheme. Chaos Solitons & Fractals. 168. 113171–113171. 8 indexed citations
13.
14.
Zhu, Zheng, Lichuan Chen, Haoming He, et al.. (2023). The Optimal Definition and Prediction Nomogram for Left Ventricular Remodelling After Acute Myocardial Infarction. ESC Heart Failure. 10(5). 2955–2965. 7 indexed citations
15.
16.
He, Haoming, et al.. (2021). Nutritional status and risk of contrast-associated acute kidney injury in elderly patients undergoing percutaneous coronary intervention. Clinical and Experimental Nephrology. 25(9). 953–962. 9 indexed citations
17.
He, Haoming, et al.. (2021). Predictive Value of Plasma Volume Status for Contrast-Induced Nephropathy in Patients with Heart Failure Undergoing PCI. ESC Heart Failure. 8(6). 4873–4881. 7 indexed citations
18.
19.
He, Haoming, et al.. (2021). Predictive value of preprocedural albuminuria for contrast-induced nephropathy non-recovery in patients undergoing percutaneous coronary intervention. International Urology and Nephrology. 53(12). 2603–2610. 1 indexed citations
20.

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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