Peng Hou

48 total papers · 478 total citations
25 papers, 331 citations indexed

About

Peng Hou is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Peng Hou has authored 25 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 9 papers in Oncology and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Peng Hou's work include Peptidase Inhibition and Analysis (6 papers), Cardiac tumors and thrombi (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Peng Hou is often cited by papers focused on Peptidase Inhibition and Analysis (6 papers), Cardiac tumors and thrombi (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Peng Hou collaborates with scholars based in China, United States and Taiwan. Peng Hou's co-authors include Warren W. Burggren, A. J. S. McFadzean, Xinlu Wang, Hubing Wu, Xiaoyao Zhang, Yin Zhang, Qi Fang, Yonglin Pu, Shaoyu Liu and Xinqing Lin and has published in prestigious journals such as Chemical Engineering Journal, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and Journal of Nuclear Medicine.

In The Last Decade

Peng Hou

24 papers receiving 322 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Peng Hou	94	81	75	67	58	25	331
Z Voboril	20 0.2×	105 1.3×	71 0.9×	71 1.1×	36 0.6×	38	309
Jianrong Xu	136 1.4×	40 0.5×	38 0.5×	22 0.3×	26 0.4×	21	289
Wenguang Liu	73 0.8×	41 0.5×	36 0.5×	55 0.8×	54 0.9×	30	356
Shaoqin Li	44 0.5×	60 0.7×	80 1.1×	15 0.2×	53 0.9×	34	340
Eisuke Shibata	42 0.4×	142 1.8×	87 1.2×	30 0.4×	7 0.1×	33	344
Jie Lin	45 0.5×	140 1.7×	113 1.5×	93 1.4×	16 0.3×	33	329
Amy Yuan	100 1.1×	64 0.8×	18 0.2×	57 0.9×	5 0.1×	21	320
Ryo Matsusue	12 0.1×	44 0.5×	94 1.3×	194 2.9×	32 0.6×	28	282
William T. Clarke	16 0.2×	35 0.4×	50 0.7×	54 0.8×	33 0.6×	19	306
Shuhei Noda	91 1.0×	68 0.8×	21 0.3×	69 1.0×	8 0.1×	24	269

Countries citing papers authored by Peng Hou

Since Specialization

Citations

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

Fields of papers citing papers by Peng Hou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Hou

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

All Works

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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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