Daoliang Lan

1.5k citations
77 papers · 1.1k · h-index 20

Impact in

Papers in

    • Virus-based gene therapy research 9
    • Genetic and phenotypic traits in livestock 6
    • Animal Genetics and Reproduction 6

Daoliang Lan

69 papers receiving 1.1k citations

Peers

Daoliang Lan
Comparison fields: 5 of 88
  • Animal Science and Zoology 378
  • Infectious Diseases 388
  • Agronomy and Crop Science 178
  • Genetics 329
  • Cardiology and Cardiovascular Medicine 189
Replace Tong Xu with:
Tong Xu China
Milton Thomas United States
Enrico Bollo Italy
Gengyuan Cai China
Long Guo China
Giulietta Minozzi Italy
Piero Bonelli Italy
Jie Dong China
Songjia Lai China
Bart Mateusen Belgium
Daoliang Lan relative to Tong Xu China Tong Xu's profile →
Citations per field
00.5×3.3×
Tong Xu · 1×
Citations per year

Countries citing papers authored by Daoliang Lan

Since Specialization
Citations

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

Fields of papers citing papers by Daoliang Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201782
2 201165
3 201162
4 201049
5 201144
6 201538
7 201838
8 201636
9 201534
10 201431
11 201730
12 201026
13 201325
14 201725
15 201124
16 201323
17 201422
18 201121
19 201121
20 201419

About Daoliang Lan

Daoliang Lan is a scholar working on Genetics, Molecular Biology, Animal Science and Zoology, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 77 papers that have together received 1.1k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (20 papers), Viral gastroenteritis research and epidemiology (17 papers), Reproductive Biology and Fertility (14 papers), Viral Infections and Immunology Research (11 papers), Virus-based gene therapy research (9 papers), Sperm and Testicular Function (7 papers), Genetic and phenotypic traits in livestock (6 papers) and Animal Genetics and Reproduction (6 papers). The work is most often cited by research in Animal Science and Zoology (378 citations), Infectious Diseases (388 citations), Agronomy and Crop Science (178 citations), Genetics (329 citations) and Cardiology and Cardiovascular Medicine (189 citations). Daoliang Lan has collaborated with scholars based in China, United States and India. Frequent co-authors include Xianrong Xiong, Xiuguo Hua, Wenhui Ji, Zhibiao Yang, Congli Yuan, Tongling Shan, Li Cui, Mei R. Fu, Jincheng Zhong and Cheng Tang. Their work appears in journals such as Archives of Virology, Theriogenology, International Journal of Molecular Sciences, Animal Reproduction Science and PLoS ONE.

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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