Xinyu Guo

4.7k citations
110 papers · 2.4k indexed · 2 hit papers · h-index 19

Xinyu Guo

94 papers receiving 2.4k citations

Hit Papers

Immune checkpoint HLA-E:CD94-NKG2A m...2172019202620212023250500750

Peers

Xinyu Guo
Comparison fields: 5 of 160
  • Soil Science 155
  • Cancer Research 220
  • Plant Science 506
  • Molecular Biology 905
  • Immunology 256
Replace Bernd Roschitzki with:
Bernd Roschitzki Switzerland
Kenneth L. Jones United States
Richard J. Edwards United Kingdom
Ling Wang China
Zhenshan Liu China
Ying Zheng China
Tauno Metsalu Estonia
Mengmeng Chen China
Jing Liang China
Xinyu Guo relative to Bernd Roschitzki Switzerland Bernd Roschitzki's profile →
Citations per field
00.5×2.8×
Bernd Roschitzki · 1×
Citations per year

Countries citing papers authored by Xinyu Guo

Since Specialization
Citations

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

Fields of papers citing papers by Xinyu Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20251
4 20250
5 20253
6 202414
7 20242
8 20245
9 20242
10 20243
11 20240
12 20231
13
Immune checkpoint HLA-E:CD94-NKG2A mediates evasion of circulating tumor cells from NK cell surveillancebreakdown →
2023217
14 20226
15 20205
16
Protocol Update for large-scale genome and gene function analysis with the PANTHER classification system (v.14.0)breakdown →
2019967
17
Three-dimensional reconstruction of plant leaf blade based on point cloud data.
20142
18
Corn skeleton reconstruction based on stereo vision.
20104
19
Geometry modelling and visualization of above-ground organs of wheat.
20090
20
The Computer Simulation of Maize Leaf
20041

About Xinyu Guo

Xinyu Guo is a scholar working on Nuclear Energy and Engineering, Cancer Research and Plant Science, having authored 110 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), Genetic Mapping and Diversity in Plants and Animals (10 papers), Cancer-related molecular mechanisms research (10 papers), RNA modifications and cancer (6 papers), Remote Sensing and LiDAR Applications (5 papers), Plant Disease Resistance and Genetics (5 papers), Plant Molecular Biology Research (5 papers) and Smart Agriculture and AI (4 papers). The work is most often cited by research in Soil Science (155 citations), Cancer Research (220 citations) and Plant Science (506 citations). Xinyu Guo has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Anushya Muruganujan, Xiaosong Huang, Paul D. Thomas, Huaiyu Mi, Dustin Ebert, Jipeng Luo, Yongchao Liang, Tingqiang Li, He‐Ping Zhao and Samiran Banerjee. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and The Science of The Total Environment.

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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