Xiaohan Ding

1.8k total citations · 1 hit paper
40 papers, 1.0k citations indexed

About

Xiaohan Ding is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xiaohan Ding has authored 40 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 11 papers in Cardiology and Cardiovascular Medicine and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xiaohan Ding's work include High Altitude and Hypoxia (12 papers), Neuroscience of respiration and sleep (8 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers). Xiaohan Ding is often cited by papers focused on High Altitude and Hypoxia (12 papers), Neuroscience of respiration and sleep (8 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers). Xiaohan Ding collaborates with scholars based in China, United States and Hong Kong. Xiaohan Ding's co-authors include Xiangyu Zhang, Guiguang Ding, Jungong Han, Lan Huang, Jihang Zhang, Xubin Gao, Shizhu Bian, Lan Huang, Yuanqi Yang and Jun Qin and has published in prestigious journals such as Nucleic Acids Research, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Xiaohan Ding

37 papers receiving 1.0k citations

Hit Papers

Scaling Up Your Kernels to 31×31: Revisiting Large Kernel... 2022 2026 2023 2024 2022 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaohan Ding China 10 472 187 158 98 83 40 1.0k
Xiyuan Hu China 26 434 0.9× 118 0.6× 111 0.7× 22 0.2× 105 1.3× 130 1.9k
Jonas Mueller United States 11 452 1.0× 687 3.7× 95 0.6× 81 0.8× 70 0.8× 21 1.7k
Xia Yu China 19 340 0.7× 319 1.7× 43 0.3× 59 0.6× 45 0.5× 82 1.1k
Fei Ma China 12 216 0.5× 240 1.3× 38 0.2× 44 0.4× 44 0.5× 90 820
Linfeng Zhang China 13 584 1.2× 489 2.6× 87 0.6× 32 0.3× 60 0.7× 32 1.2k
Marie-Pierre Dubuisson United States 7 687 1.5× 165 0.9× 91 0.6× 23 0.2× 105 1.3× 10 1.2k
Joan Serrat Spain 20 929 2.0× 123 0.7× 168 1.1× 210 2.1× 176 2.1× 71 1.8k
Adel Hafiane France 22 456 1.0× 240 1.3× 138 0.9× 12 0.1× 76 0.9× 70 1.9k
Hyun Suk Yang South Korea 22 450 1.0× 75 0.4× 70 0.4× 29 0.3× 87 1.0× 136 1.5k
Nipon Theera‐Umpon Thailand 20 572 1.2× 620 3.3× 104 0.7× 18 0.2× 26 0.3× 128 1.5k

Countries citing papers authored by Xiaohan Ding

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohan Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohan Ding. A scholar is included among the top collaborators of Xiaohan Ding 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 Xiaohan Ding. Xiaohan Ding 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
2.
Liu, Xiaojian, Xiaohan Ding, Yi Fang, et al.. (2025). Base-resolution binding profile prediction of proteins on RNAs with deep learning. Nucleic Acids Research. 53(14).
3.
Ding, Xiaohan, et al.. (2024). Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities. 6108–6117. 2 indexed citations
4.
Ding, Xiaohan, et al.. (2023). Same Words, Different Meanings: Semantic Polarization in Broadcast Media Language Forecasts Polarity in Online Public Discourse. Proceedings of the International AAAI Conference on Web and Social Media. 17. 161–172. 6 indexed citations
5.
Yao, Xinlei, Lei Liu, Miao Bai, et al.. (2023). Tectorigenin targets PKACα to promote GLUT4 expression in skeletal muscle and improve insulin resistance in vitro and in vivo. International Journal of Biological Sciences. 19(5). 1579–1596. 9 indexed citations
6.
8.
He, Chunyan, Chuan Liu, Shiyong Yu, et al.. (2021). Assessment of right atrial dyssynchrony by 2D speckle-tracking in healthy young men following high altitude exposure at 4100 m. PLoS ONE. 16(2). e0247107–e0247107. 1 indexed citations
9.
Yang, Jie, Chuan Liu, Zhexue Qin, et al.. (2021). A novel echocardiographic parameter to identify individuals susceptible to acute mountain sickness. Travel Medicine and Infectious Disease. 44. 102166–102166. 8 indexed citations
10.
Liu, Chuan, Shiyong Yu, Shizhu Bian, et al.. (2021). The Association Between Notching of the Right Ventricular Outflow Tract Flow Velocity Doppler Envelope and Impaired Right Ventricular Function After Acute High-Altitude Exposure. Frontiers in Physiology. 12. 639761–639761. 4 indexed citations
11.
Yang, Yuanqi, Chuan Liu, Shiyong Yu, et al.. (2020). Pulmonary function tests at low altitude predict pulmonary pressure response to short-term high altitude exposure. Respiratory Physiology & Neurobiology. 282. 103534–103534. 4 indexed citations
12.
Zhang, Ying, et al.. (2020). The Prevalence and Independent Risk Factors of Significant Tricuspid Regurgitation Jets in Maintenance Hemodialysis Patients With ESRD. Frontiers in Physiology. 11. 568812–568812. 5 indexed citations
13.
Zhang, Ying, Xiaohan Ding, Yiqin Wang, et al.. (2020). The Prevalence of Pulmonary Hypertension Among Maintenance Dialysis Patients With ESRD and Its Associated Factors: A Retrospective Study. Frontiers in Medicine. 7. 570874–570874. 13 indexed citations
14.
Yu, Xiaohui, et al.. (2020). New HIV diagnoses in patients with COVID-19: two case reports and a brief literature review. BMC Infectious Diseases. 20(1). 771–771. 10 indexed citations
15.
Yang, Jie, Chuan Liu, Jie Yu, et al.. (2019). PPARA genetic variants increase the risk for cardiac pumping function reductions following acute high‐altitude exposure: A self‐controlled study. Molecular Genetics & Genomic Medicine. 7(10). e00919–e00919. 2 indexed citations
16.
Ding, Xiaohan, Jie Han, Yuan Liu, Ying Jin, & Ping Ye. (2017). D-4F decreases the expression of Aβ protein through up-regulating long non coding RNA sirt1-as in SAMP8 mice. Saudi Pharmaceutical Journal. 25(4). 517–522. 5 indexed citations
17.
Ding, Xiaohan, Ping Ye, Xiaona Wang, et al.. (2017). Peripheral arterial stiffness is associated with higher baseline plasma uric acid: A prospective cohort study. Saudi Journal of Biological Sciences. 24(3). 574–581. 5 indexed citations
18.
Ding, Xiaohan, Xiaona Wang, Ruihua Cao, et al.. (2016). GW27-e0533 A higher baseline plasma uric acid level is an independent predictor of arterial stiffness: a community-based prospective study. Journal of the American College of Cardiology. 68(16). C79–C79. 1 indexed citations
19.
Chen, Guozhu, Jun Qin, Jihang Zhang, et al.. (2016). Short-term high-altitude pre-exposure improves neurobehavioral ability. Neuroreport. 27(6). 367–373. 7 indexed citations
20.
Huang, Lan, et al.. (2014). Age as a risk factor for acute mountain sickness upon rapid ascent to 3,700 m among young adult Chinese men. Clinical Interventions in Aging. 9. 1287–1287. 21 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

Rankless by CCL
2026