Kaijun Guo

410 citations
23 papers · 326 · h-index 8

Impact in

Papers in

Kaijun Guo

22 papers receiving 316 citations

Peers

Kaijun Guo
Comparison fields: 5 of 93
  • Animal Science and Zoology 144
  • Aging 6
  • Small Animals 24
  • Agronomy and Crop Science 29
  • Cancer Research 32
Replace Khaleel I. Jawasreh with:
Khaleel I. Jawasreh Jordan
Caiyun Fan China
Huan Qu China
Changsuo Yang China
D. Řehák Czechia
Ayan Mukherjee India
Miharu YONAI Japan
Hongyu Diao China
Toshihiro NADE Japan
George P. Laliotis Greece
Kaijun Guo relative to Khaleel I. Jawasreh Jordan Khaleel I. Jawasreh's profile →
Citations per field
00.5×1.5×2.3×
Khaleel I. Jawasreh · 1×
Citations per year

Countries citing papers authored by Kaijun Guo

Since Specialization
Citations

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

Fields of papers citing papers by Kaijun Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010154
2 201053
3 201033
4 202113
5 202112
6 201611
7 202411
8 20237
9 20245
10 20045
11 20034
12 20253
13 20222
14 20122
15 20122
16 20202
17 20102
18
Effects of Herba Agastachis essential oil and Cortex Phellodendri alkaloid on the antioxidation of IEC-6 in high-temperature
20101
19 20241
20 20251

About Kaijun Guo

Kaijun Guo is a scholar working on Animal Science and Zoology, Agronomy and Crop Science, Molecular Biology, Plant Science and Physiology, having authored 23 papers that have together received 326 indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (5 papers), Meat and Animal Product Quality (4 papers), Effects of Environmental Stressors on Livestock (4 papers), Heat shock proteins research (3 papers), Animal Nutrition and Physiology (3 papers), Thermoregulation and physiological responses (2 papers), Telecommunications and Broadcasting Technologies (2 papers) and Advanced Chemical Sensor Technologies (2 papers). The work is most often cited by research in Animal Science and Zoology (144 citations), Aging (6 citations), Small Animals (24 citations), Agronomy and Crop Science (29 citations) and Cancer Research (32 citations). Kaijun Guo has collaborated with scholars based in China, Italy and Canada. Frequent co-authors include Fenghua Liu, Peng Yin, Jianqin Xu, Yu Jin, Lu An, Xiaoyu Zhu, Xiaoyu Zhu, Yulong Yin, Nuowei Zhang and Jingdong Yin. Their work appears in journals such as Italian Journal of Animal Science, Sensors, International Journal of Biological Macromolecules, Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology 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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