Liming Hao

9.2k total citations · 3 hit papers
51 papers, 7.2k citations indexed

About

Liming Hao is a scholar working on Immunology, Surgery and Genetics. According to data from OpenAlex, Liming Hao has authored 51 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Immunology, 14 papers in Surgery and 12 papers in Genetics. Recurrent topics in Liming Hao's work include Diabetes and associated disorders (9 papers), Immune Cell Function and Interaction (9 papers) and Pancreatic function and diabetes (8 papers). Liming Hao is often cited by papers focused on Diabetes and associated disorders (9 papers), Immune Cell Function and Interaction (9 papers) and Pancreatic function and diabetes (8 papers). Liming Hao collaborates with scholars based in United States, China and Germany. Liming Hao's co-authors include Ruslan Medzhitov, Stefan Offermanns, Pamela V. Chang, Richard A. Flavell, Eran Elinav, Stephanie C. Eisenbarth, Chengcheng Jin, Till Strowig, Jorge Henao‐Mejia and Christoph A. Thaiss and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Liming Hao

48 papers receiving 7.1k citations

Hit Papers

Inflammasome-mediated dysbiosis regulates progression of ... 2012 2026 2016 2021 2012 2014 2014 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liming Hao United States 28 3.8k 2.3k 1.5k 1.3k 951 51 7.2k
Jorge Henao‐Mejia United States 26 4.5k 1.2× 1.8k 0.8× 1.6k 1.1× 1.1k 0.8× 609 0.6× 56 6.9k
Marcela A. Hermoso Chile 34 3.9k 1.0× 1.9k 0.9× 683 0.5× 1.5k 1.2× 1.0k 1.1× 91 7.8k
Angélica T. Vieira Brazil 42 4.1k 1.1× 1.4k 0.6× 683 0.5× 1.4k 1.1× 561 0.6× 81 7.1k
Michael S. Rolph Australia 27 2.5k 0.7× 2.1k 0.9× 855 0.6× 1.4k 1.1× 480 0.5× 43 5.9k
Zhanju Liu China 45 4.1k 1.1× 2.6k 1.2× 1.1k 0.8× 934 0.7× 2.0k 2.1× 172 8.3k
Giuseppe Penna Italy 49 2.5k 0.7× 5.5k 2.4× 1.5k 1.0× 1.1k 0.8× 1.3k 1.4× 92 11.5k
Margherita T. Cantorna United States 55 1.8k 0.5× 2.9k 1.3× 2.3k 1.5× 1.2k 1.0× 1.5k 1.6× 108 11.4k
Markus B. Geuking Switzerland 30 3.6k 0.9× 1.7k 0.7× 952 0.6× 855 0.7× 661 0.7× 48 6.3k
Peter Mannon United States 31 1.7k 0.5× 2.2k 1.0× 935 0.6× 531 0.4× 1.6k 1.7× 71 6.2k
Eric L. Campbell United States 31 2.9k 0.8× 1.5k 0.7× 574 0.4× 977 0.8× 678 0.7× 57 6.0k

Countries citing papers authored by Liming Hao

Since Specialization
Citations

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

Fields of papers citing papers by Liming Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liming Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Liming Hao. A scholar is included among the top collaborators of Liming 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 Liming Hao. Liming Hao 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.
Hao, Liming, Nishith Chennakeshava, R. Arthur Bouwman, et al.. (2024). An adversarial learning approach to generate pressure support ventilation waveforms for asynchrony detection. Computer Methods and Programs in Biomedicine. 250. 108175–108175. 3 indexed citations
3.
Ren, Shuai, Xiaohan Wang, Liming Hao, et al.. (2023). 1D-CNNs model for classification of sputum deposition degree in mechanical ventilated patients based on airflow signals. Expert Systems with Applications. 237. 121621–121621. 4 indexed citations
4.
Rice, Tyler, Agata A. Bielecka, Mytien Nguyen, et al.. (2022). Interspecies commensal interactions have nonlinear impacts on host immunity. Cell Host & Microbe. 30(7). 988–1002.e6. 48 indexed citations
5.
Ren, Shuai, Wei Li, Lin Wang, et al.. (2020). Numerical Analysis of Airway Mucus Clearance Effectiveness Using Assisted Coughing Techniques. Scientific Reports. 10(1). 2030–2030. 31 indexed citations
6.
Hao, Liming, Shuai Ren, Yan Shi, et al.. (2020). A Novel Method to Evaluate Patient-Ventilator Synchrony during Mechanical Ventilation. Complexity. 2020. 1–15. 3 indexed citations
7.
Zhang, Lichao, et al.. (2019). Satisfactory response of a back carbuncle to 5-aminolevulinic acid (ALA) photodynamic therapy: A case report. Photodiagnosis and Photodynamic Therapy. 30. 101618–101618. 3 indexed citations
8.
Hao, Liming, et al.. (2019). Dynamic Characteristics of a Mechanical Ventilation System With Spontaneous Breathing. IEEE Access. 7. 172847–172859. 9 indexed citations
9.
Chan, Pamela, Eugenio Antonio Carrera Silva, Dimitri de Kouchkovsky, et al.. (2016). The TAM family receptor tyrosine kinase TYRO3 is a negative regulator of type 2 immunity. Science. 352(6281). 99–103. 70 indexed citations
10.
Bothwell, Alfred L.M., Wook‐Jin Chae, Pamela Chan, et al.. (2015). Regulation of chronic lung inflammation to house dust mite allergen by Wnt antagonist (CAM1P.144). The Journal of Immunology. 194(1_Supplement). 48.1–48.1. 1 indexed citations
11.
Hu, Bo, Eran Elinav, Samuel Huber, et al.. (2013). Microbiota-induced activation of epithelial IL-6 signaling links inflammasome-driven inflammation with transmissible cancer. Proceedings of the National Academy of Sciences. 110(24). 9862–9867. 261 indexed citations
12.
Biswas, Amlan, Yuen-Joyce Liu, Liming Hao, et al.. (2010). Induction and rescue of Nod2-dependent Th1-driven granulomatous inflammation of the ileum. Proceedings of the National Academy of Sciences. 107(33). 14739–14744. 128 indexed citations
13.
Liu, Xiao, Liming Hao, Yan Ji, et al.. (2010). Genetic repression of mouse VEGF expression regulates coagulation cascade. IUBMB Life. 62(11). 819–824. 17 indexed citations
14.
Park, Sung‐Gyoo, Ramkumar Mathur, Meixiao Long, et al.. (2010). T Regulatory Cells Maintain Intestinal Homeostasis by Suppressing γδ T Cells. Immunity. 33(5). 791–803. 143 indexed citations
15.
Biswas, Amlan, Jeanette Wilmanski, Huamei Forsman, et al.. (2010). Negative regulation of Toll‐like receptor signaling plays an essential role in homeostasis of the intestine. European Journal of Immunology. 41(1). 182–194. 62 indexed citations
16.
Bifulco, Carlo, et al.. (2008). Genotypic Analysis of Hydatidiform Mole: An Accurate and Practical Method of Diagnosis. The American Journal of Surgical Pathology. 32(3). 445–451. 64 indexed citations
17.
Choi, Young, et al.. (2008). Interobserver variability and aberrant E-cadherin immunostaining of lobular neoplasia and infiltrating lobular carcinoma. Modern Pathology. 21(10). 1224–1237. 29 indexed citations
18.
Costa, Cristina, Yamin Shen, Xiao Su, et al.. (2006). Role of complement component C5 in cerebral ischemia/reperfusion injury. Brain Research. 1100(1). 142–151. 39 indexed citations
19.
Rakoff-Nahoum, Seth, Liming Hao, & Ruslan Medzhitov. (2006). Role of Toll-like Receptors in Spontaneous Commensal-Dependent Colitis. Immunity. 25(2). 319–329. 294 indexed citations
20.
Hao, Liming, et al.. (1993). Mycophenolate Mofetil Can Prevent the Development of Diabetes in BB Ratsa. Annals of the New York Academy of Sciences. 696(1). 328–332. 24 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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