Ruyi Dang

493 citations
18 papers · 357 · h-index 11

Impact in

Papers in

    • Virology and Viral Diseases 5
    • Herpesvirus Infections and Treatments 3
    • Viral gastroenteritis research and epidemiology 4
    • Clostridium difficile and Clostridium perfringens research 2

Ruyi Dang

18 papers receiving 352 citations

Peers

Ruyi Dang
Comparison fields: 5 of 59
  • Molecular Medicine 52
  • Animal Science and Zoology 90
  • Infectious Diseases 162
  • Endocrinology 39
  • Parasitology 29
Replace Wojciech Kozdruń with:
Wojciech Kozdruń Poland
Chunlian Song China
Bingzhou Zhang China
Zeinab H. Helal United States
Cristian Salogni Italy
Josephine Grützke Germany
M M Henton South Africa
Nathalie Chanteloup France
Germán B. Vigo Argentina
Meifang Tan China
Ruyi Dang relative to Wojciech Kozdruń Poland Wojciech Kozdruń's profile →
Citations per field
00.5×3.6×
Wojciech Kozdruń · 1×
Citations per year

Countries citing papers authored by Ruyi Dang

Since Specialization
Citations

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

Fields of papers citing papers by Ruyi Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201892
2 201749
3 201942
4 201824
5 201320
6 201218
7 202118
8 201616
9 202216
10 201314
11 201612
12 20129
13 20147
14 20227
15 20175
16 20234
17 20233
18
Adenovirus expression and activity test of chicken GM-CSF.
20121

About Ruyi Dang

Ruyi Dang is a scholar working on Epidemiology, Infectious Diseases, Animal Science and Zoology, Genetics and Molecular Biology, having authored 18 papers that have together received 357 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (7 papers), Virus-based gene therapy research (5 papers), Virology and Viral Diseases (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Herpesvirus Infections and Treatments (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Antibiotic Resistance in Bacteria (3 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). The work is most often cited by research in Molecular Medicine (52 citations), Animal Science and Zoology (90 citations), Infectious Diseases (162 citations), Endocrinology (39 citations) and Parasitology (29 citations). Ruyi Dang has collaborated with scholars based in China, Ireland and Sudan. Frequent co-authors include Xinglong Wang, Zengqi Yang, Wenkai Liu, Changjie Lv, Juan Ren, Shuxia Zhang, Qiu Li, Bin Wang, Enqi Du and Zengqi Yang. Their work appears in journals such as Veterinary Microbiology, Frontiers in Microbiology, Virus Research, Archives of Virology and Veterinary Research.

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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