Xiaolin Jin

1.2k citations
88 papers · 840 · h-index 18

Impact in

    • Microbial infections and disease research
  • Ecology top 5%
    • Bacteriophages and microbial interactions

Papers in

Xiaolin Jin

71 papers receiving 817 citations

Peers

Xiaolin Jin
Comparison fields: 5 of 104
  • Microbiology 149
  • Ecology 287
  • Parasitology 41
  • Endocrinology 30
  • Plant Science 211
Replace Eiji Ishii with:
Eiji Ishii Japan
Indu Khatri India
Tingting Li China
Jun Kwon South Korea
Xiaoqiong Gu Singapore
Kunio Tochikubo Japan
Nand K. Gaur United States
Glauber Ribeiro de Sousa Araújo Brazil
Blanca Taboada Mexico
Daniel A. Lafontaine Canada
Xiaolin Jin relative to Eiji Ishii Japan Eiji Ishii's profile →
Citations per field
00.5×7.8×
Eiji Ishii · 1×
Citations per year

Countries citing papers authored by Xiaolin Jin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201482
2 201374
3 202152
4 200645
5 200541
6 201441
7 201541
8 201632
9 201630
10 201626
11 201225
12 201023
13 201523
14 201620
15 201218
16 200717
17 201217
18 201517
19 201516
20 201514

About Xiaolin Jin

Xiaolin Jin is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Molecular Biology, Aerospace Engineering and Ecology, having authored 88 papers that have together received 840 indexed citations. Recurring topics across this work include Gyrotron and Vacuum Electronics Research (23 papers), Electromagnetic Simulation and Numerical Methods (15 papers), Microwave Engineering and Waveguides (14 papers), Particle accelerators and beam dynamics (13 papers), Plasma Diagnostics and Applications (10 papers), Bacteriophages and microbial interactions (8 papers), Laser-Plasma Interactions and Diagnostics (7 papers) and Phytase and its Applications (6 papers). The work is most often cited by research in Microbiology (149 citations), Ecology (287 citations), Parasitology (41 citations), Endocrinology (30 citations) and Plant Science (211 citations). Xiaolin Jin has collaborated with scholars based in China, United Kingdom and Czechia. Frequent co-authors include Runqiang Yang, Zhenxin Gu, Xiancai Rao, Fuquan Hu, Yinling Tan, Liping Guo, Shu Li, Junmin Zhu, Shuguang Lu and Shuai Le. Their work appears in journals such as Physics of Plasmas, IEEE Transactions on Electron Devices, IEEE Transactions on Plasma Science, Scientific Reports and Review of Scientific Instruments.

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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