Xiaobo Chang

856 citations
22 papers · 667 · h-index 10

Impact in

Papers in

Xiaobo Chang

19 papers receiving 664 citations

Peers

Xiaobo Chang
Comparison fields: 5 of 62
  • Animal Science and Zoology 362
  • Infectious Diseases 307
  • Genetics 231
  • Epidemiology 175
  • Parasitology 31
Replace Humberto Ramírez‐Mendoza with:
Humberto Ramírez‐Mendoza Mexico
Xiaoyan Cong China
Gang Lu China
Feifei Tan China
Yuzhen Fang China
Youxiang Diao China
Jibo Hou China
Xiangang Sun China
Senyan Du China
Dinesh Pathak India
Xiaobo Chang relative to Humberto Ramírez‐Mendoza Mexico Humberto Ramírez‐Mendoza's profile →
Citations per field
00.5×8.5×
Humberto Ramírez‐Mendoza · 1×
Citations per year

Countries citing papers authored by Xiaobo Chang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobo Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaobo Chang, 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 Xiaobo Chang Line = papers co-authored together Xiaobo Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015223
2 2015110
3 201783
4 201663
5 202359
6 201932
7 202025
8 201621
9 202413
10 202212
11 20249
12 20226
13 20242
14 20232
15 20172
16 20232
17
Genomic sequencing and genetic diversity analysis of a pseudorabies virus based on main infection or virulence genes.
20151
18 20241
19 20251
20 20250

About Xiaobo Chang

Xiaobo Chang is a scholar working on Animal Science and Zoology, Infectious Diseases, Genetics, Electrical and Electronic Engineering and Materials Chemistry, having authored 22 papers that have together received 667 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (8 papers), Viral gastroenteritis research and epidemiology (6 papers), Virus-based gene therapy research (4 papers), Advanced Photocatalysis Techniques (3 papers), Plant Virus Research Studies (3 papers), Copper-based nanomaterials and applications (3 papers), interferon and immune responses (2 papers) and Herpesvirus Infections and Treatments (2 papers). The work is most often cited by research in Animal Science and Zoology (362 citations), Infectious Diseases (307 citations), Genetics (231 citations), Epidemiology (175 citations) and Parasitology (31 citations). Xiaobo Chang has collaborated with scholars based in China, Australia and Taiwan. Frequent co-authors include Zhi‐Jun Tian, Xuehui Cai, Tongqing An, Guangzhi Tong, Chao Ye, Chenggang Jiang, Mǎng Shī, Shujie Wang, Kuan Zhao and Jinchao Guo. Their work appears in journals such as Frontiers in Veterinary Science, Virology, Veterinary Microbiology, Viruses and Journal of Virology.

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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