Ke Hao

4.5k total citations
19 papers, 383 citations indexed

About

Ke Hao is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Physiology. According to data from OpenAlex, Ke Hao has authored 19 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pulmonary and Respiratory Medicine, 5 papers in Molecular Biology and 5 papers in Physiology. Recurrent topics in Ke Hao's work include Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), Neonatal Respiratory Health Research (5 papers) and Asthma and respiratory diseases (5 papers). Ke Hao is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), Neonatal Respiratory Health Research (5 papers) and Asthma and respiratory diseases (5 papers). Ke Hao collaborates with scholars based in United States, Canada and Netherlands. Ke Hao's co-authors include Don D. Sin, Yohan Bossé, Wim Timens, Maarten van den Berge, Dirkje S. Postma, David C. Nickle, Peter D. Paré, John D. Storey, Eric E. Schadt and Corry‐Anke Brandsma and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Allergy and Clinical Immunology.

In The Last Decade

Ke Hao

17 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ke Hao United States 12 153 138 86 54 42 19 383
Priyadarshini Kachroo United States 11 186 1.2× 70 0.5× 122 1.4× 51 0.9× 31 0.7× 26 387
Caterina Di Pietro Italy 11 170 1.1× 54 0.4× 39 0.5× 58 1.1× 111 2.6× 20 386
Enrique Ambrocio-Ortiz Mexico 10 59 0.4× 96 0.7× 76 0.9× 11 0.2× 47 1.1× 26 248
Audreesh Banerjee United States 9 127 0.8× 209 1.5× 347 4.0× 29 0.5× 121 2.9× 10 595
Mariusz Ołtarzewski Poland 13 91 0.6× 107 0.8× 74 0.9× 86 1.6× 27 0.6× 71 599
Xin Xiao China 10 72 0.5× 85 0.6× 24 0.3× 24 0.4× 53 1.3× 27 300
Yasuhiko Iiboshi Japan 11 54 0.4× 48 0.3× 74 0.9× 47 0.9× 42 1.0× 20 431
S Korn Netherlands 6 54 0.4× 178 1.3× 168 2.0× 35 0.6× 34 0.8× 11 318
Sai Nimmagadda United States 13 47 0.3× 222 1.6× 371 4.3× 35 0.6× 103 2.5× 40 635
Wen Qü China 11 96 0.6× 27 0.2× 44 0.5× 40 0.7× 143 3.4× 78 437

Countries citing papers authored by Ke Hao

Since Specialization
Citations

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

Fields of papers citing papers by Ke Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Hao

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

All Works

19 of 19 papers shown
1.
Xu, Caihong, Chunli Yu, Yan You, et al.. (2025). Bacteriome and mycobiome in ambient PMs during haze episodes and health hazard: A nationwide survey in China. 1(2). 100023–100023. 3 indexed citations
2.
3.
Cordero, Ana I. Hernández, Xuan Li, Chen Xi Yang, et al.. (2020). Gene expression network analysis provides potential targets against SARS-CoV-2. Scientific Reports. 10(1). 21863–21863. 10 indexed citations
4.
Obeidat, Ma’en, Alen Faiz, Xuan Li, et al.. (2019). The pharmacogenomics of inhaled corticosteroids and lung function decline in COPD. European Respiratory Journal. 54(6). 1900521–1900521. 13 indexed citations
5.
Obeidat, Ma’en, Alen Faiz, Maarten van den Berge, et al.. (2019). The Pharmacogenomics of Inhaled Corticosteroids and Lung Function Decline in COPD Patients. A3786–A3786. 1 indexed citations
6.
Plaat, Diana A. van der, Judith M. Vonk, Lies Lahousse, et al.. (2019). Limited overlap in significant hits between genome-wide association studies on two airflow obstruction definitions in the same population. BMC Pulmonary Medicine. 19(1). 58–58. 4 indexed citations
7.
Ho, Lap, Danyue Zhao, Kenjiro Ono, et al.. (2018). Heterogeneity in gut microbiota drive polyphenol metabolism that influences α-synuclein misfolding and toxicity. The Journal of Nutritional Biochemistry. 64. 170–181. 56 indexed citations
8.
Lamontagne, Maxime, Jean‐Christophe Bérubé, Ma’en Obeidat, et al.. (2018). Leveraging lung tissue transcriptome to uncover candidate causal genes in COPD genetic associations. Human Molecular Genetics. 27(10). 1819–1829. 27 indexed citations
9.
Vonk, Judith M., Maartje A. E. Nieuwenhuis, F. Nicole Dijk, et al.. (2018). Novel genes and insights in complete asthma remission: A genome‐wide association study on clinical and complete asthma remission. Clinical & Experimental Allergy. 48(10). 1286–1296. 13 indexed citations
10.
Boorsma, Carian E., A. van der Veen, Andreia de Almeida, et al.. (2017). A Potent Tartrate Resistant Acid Phosphatase Inhibitor to Study the Function of TRAP in Alveolar Macrophages. Scientific Reports. 7(1). 12570–12570. 20 indexed citations
11.
Li, Xuan, Ma’en Obeidat, Guohai Zhou, et al.. (2017). Responsiveness to Ipratropium Bromide in Male and Female Patients with Mild to Moderate Chronic Obstructive Pulmonary Disease. EBioMedicine. 19. 139–145. 25 indexed citations
12.
Obeidat, Ma’en, Guofei Zhou, Stephen Burgess, et al.. (2017). Club Cell Secretory Protein 16 (cc16) Is Causally Related To Lung Function Decline In Individuals With Chronic Obstructive Pulmonary Disease Using Integrative Genomics. Data Archiving and Networked Services (DANS). 195. 1 indexed citations
13.
Hong, Xiumei, Ben Sherwood, Christine Ladd‐Acosta, et al.. (2017). Genome-wide DNA methylation associations with spontaneous preterm birth in US blacks: findings in maternal and cord blood samples. Epigenetics. 13(2). 163–172. 35 indexed citations
14.
Saferali, Aabida, Ma’en Obeidat, Jean‐Christophe Bérubé, et al.. (2015). Polymorphisms Associated with Expression of BPIFA1/BPIFB1 and Lung Disease Severity in Cystic Fibrosis. American Journal of Respiratory Cell and Molecular Biology. 53(5). 607–614. 26 indexed citations
15.
Jong, Kim de, Judith M. Vonk, Wim Timens, et al.. (2015). Genome-wide interaction study of gene-by-occupational exposure and effects on FEV1 levels. Journal of Allergy and Clinical Immunology. 136(6). 1664–1672.e14. 23 indexed citations
16.
Obeidat, Ma’en, Ke Hao, Ynuk Bossé, et al.. (2015). Systems Genetics Approach Identifies Nicotine Receptor Antagonist As A Potential Therapeutic Target In COPD. Data Archiving and Networked Services (DANS). 191.
17.
Brandsma, Corry‐Anke, Maarten van den Berge, Dirkje S. Postma, et al.. (2014). A large lung gene expression study identifying fibulin-5 as a novel player in tissue repair in COPD. Thorax. 70(1). 21–32. 77 indexed citations
18.
Obeidat, Ma’en, S. Miller, Charlotte K. Billington, et al.. (2013). GSTCD and INTS12 Regulation and Expression in the Human Lung. PLoS ONE. 8(9). e74630–e74630. 21 indexed citations
19.
Hao, Ke, Eric E. Schadt, & John D. Storey. (2008). Calibrating the Performance of SNP Arrays for Whole-Genome Association Studies. PLoS Genetics. 4(6). e1000109–e1000109. 28 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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