Jun Hou

43 papers receiving 578 citations

Peers

Jun Hou
Comparison fields: 5 of 97
  • Virology 27
  • Immunology 111
  • Cancer Research 75
  • Neurology 30
  • Endocrinology, Diabetes and Metabolism 54
Replace Jörg Heeren with:
Jörg Heeren Germany
Jeffery C. Rathmell United States
Serena Tedesco Italy
Zhaowei Gao China
Yudong Ji China
Laura Guembe Spain
Limor Cohen Israel
Lakshmanan Annamalai United States
Isabelle K. Vila France
Nicholas Jones United Kingdom
Jun Hou relative to Jörg Heeren Germany Jörg Heeren's profile →
Citations per field
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Jörg Heeren · 1×
Citations per year

Countries citing papers authored by Jun Hou

Since Specialization
Citations

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

Fields of papers citing papers by Jun Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Hou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Hou Line = papers co-authored together Jun Hou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199782
2 201770
3 202260
4 202256
5 202043
6 202226
7 202323
8 202222
9 202318
10 202216
11 202214
12 201112
13 202411
14 202111
15 202310
16 202210
17
Clinical study on the changes of the tumor target volume and organs at risk in helical tomotherapy for nasopharyngeal carcinoma.
201210
18 202210
19 20209
20 20258

About Jun Hou

Jun Hou is a scholar working on Molecular Biology, Infectious Diseases, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Immunology, having authored 46 papers that have together received 590 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (6 papers), Cardiac Imaging and Diagnostics (4 papers), RNA modifications and cancer (4 papers), Immune cells in cancer (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Acute Myocardial Infarction Research (4 papers), Virus-based gene therapy research (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Virology (27 citations), Immunology (111 citations), Cancer Research (75 citations), Neurology (30 citations) and Endocrinology, Diabetes and Metabolism (54 citations). Jun Hou has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shiqiang Xiong, K. C. Chadha, Stanley A. Schwartz, Madhavan Nair, Lianghai Wang, Jianyou Shi, Xiangwei Wu, Xueling Chen, Lisha Zhou and Man Li. Their work appears in journals such as Cardiovascular Diabetology, Frontiers in Cardiovascular Medicine, Scientific Reports, Frontiers in Cell and Developmental Biology and Frontiers in Immunology.

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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