Xiaoyi Pan

1.2k citations
63 papers · 950 · h-index 19

Impact in

    • Plant and Fungal Interactions Research
  • Immunology top 10%
    • Aquaculture disease management and microbiota
    • Invertebrate Immune Response Mechanisms

Papers in

Xiaoyi Pan

63 papers receiving 926 citations

Peers

Xiaoyi Pan
Comparison fields: 5 of 91
  • Endocrinology 90
  • Immunology 344
  • Aquatic Science 77
  • Plant Science 378
  • Pharmacology 58
Replace Dagmar Mudroňová with:
Dagmar Mudroňová Slovakia
Maria Helena Pelegrinelli Fungaro Brazil
Mohamed Shaalan Egypt
Mario Tello Chile
Xuezhi Ding China
Verónica Rojas Chile
G. Taju India
S. Vimal India
Jinyu Shen China
Rui Pang China
Xiaoyi Pan relative to Dagmar Mudroňová Slovakia Dagmar Mudroňová's profile →
Citations per field
00.5×2.9×
Dagmar Mudroňová · 1×
Citations per year

Countries citing papers authored by Xiaoyi Pan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyi Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000163
2 201081
3 201659
4 200846
5 201146
6 201644
7 201134
8 202227
9 201927
10 201926
11 202124
12 202022
13 202421
14 200921
15 201519
16 201919
17 201419
18 201418
19 202418
20 201617

About Xiaoyi Pan

Xiaoyi Pan is a scholar working on Immunology, Molecular Biology, Plant Science, Animal Science and Zoology and Microbiology, having authored 63 papers that have together received 950 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (33 papers), Invertebrate Immune Response Mechanisms (16 papers), Animal Virus Infections Studies (7 papers), Plant Disease Resistance and Genetics (5 papers), Insect symbiosis and bacterial influences (5 papers), Mosquito-borne diseases and control (5 papers), Vibrio bacteria research studies (3 papers) and Microbial infections and disease research (3 papers). The work is most often cited by research in Endocrinology (90 citations), Immunology (344 citations), Aquatic Science (77 citations), Plant Science (378 citations) and Pharmacology (58 citations). Xiaoyi Pan has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Jiayun Yao, Yang Xu, Guijie Hao, Jinyu Shen, Jianjun Xu, W. X. Zhai, Juan Zou, Jie Lü, Li Zhu and Xilian Li. Their work appears in journals such as Aquaculture, Parasitology Research, Fish & Shellfish Immunology, Journal of Fish Diseases 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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