Lang Gui

1.4k citations
81 papers · 1.0k · h-index 21

Impact in

  • Physiology top 2%
    • Reproductive biology and impacts on aquatic species
    • Aquaculture Nutrition and Growth

Papers in

    • Aquaculture disease management and microbiota 27
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 16

Lang Gui

77 papers receiving 1.0k citations

Peers

Lang Gui
Comparison fields: 5 of 95
  • Physiology 134
  • Aquatic Science 202
  • Immunology 366
  • Ceramics and Composites 59
  • Microbiology 51
Replace N K Sanil with:
N K Sanil India
Yongzhen Zhao China
Zhizhong Xiao China
Christophe Lelong France
Swati Mittal India
Wilaiwan Chotigeat Thailand
Zhihao Wu China
Ramy R. Avtalion Israel
Cece Sumantri Indonesia
Bing Sun China
Lang Gui relative to N K Sanil India N K Sanil's profile →
Citations per field
00.5×9.8×
N K Sanil · 1×
Citations per year

Countries citing papers authored by Lang Gui

Since Specialization
Citations

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

Fields of papers citing papers by Lang Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201883
2 201657
3 201949
4 200847
5 201442
6 200239
7 202236
8 202334
9 201833
10 200829
11 201929
12 200726
13 201824
14 201623
15 201723
16 199822
17 202222
18 200922
19 202322
20 201221

About Lang Gui

Lang Gui is a scholar working on Immunology, Genetics, Molecular Biology, Aquatic Science and Cancer Research, having authored 81 papers that have together received 1.0k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (27 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (16 papers), MicroRNA in disease regulation (15 papers), Aquaculture Nutrition and Growth (14 papers), Reproductive biology and impacts on aquatic species (14 papers), Physiological and biochemical adaptations (10 papers), Animal Virus Infections Studies (10 papers) and Cancer-related molecular mechanisms research (6 papers). The work is most often cited by research in Physiology (134 citations), Aquatic Science (202 citations), Immunology (366 citations), Ceramics and Composites (59 citations) and Microbiology (51 citations). Lang Gui has collaborated with scholars based in China, Canada and Portugal. Frequent co-authors include Qi-Ya Zhang, Junbin Zhang, Mingyou Li, Peipei Zhang, Liangbiao Chen, Xingjiang Mu, Tao Zhou, Wenhao Li, Jianhai Xiang and Ying Zhong. Their work appears in journals such as Fish & Shellfish Immunology, Aquaculture, Gene, Aquaculture and Fisheries and Biology.

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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