Ling Guo

111 total papers · 1.1k total citations
58 papers, 712 citations indexed

About

Ling Guo is a scholar working on Immunology, Computer Networks and Communications and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ling Guo has authored 58 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 11 papers in Computer Networks and Communications and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ling Guo's work include Neural Networks Stability and Synchronization (10 papers), Distributed Control Multi-Agent Systems (9 papers) and Reproductive System and Pregnancy (7 papers). Ling Guo is often cited by papers focused on Neural Networks Stability and Synchronization (10 papers), Distributed Control Multi-Agent Systems (9 papers) and Reproductive System and Pregnancy (7 papers). Ling Guo collaborates with scholars based in China, United States and Japan. Ling Guo's co-authors include Xiaohong Nian, Huan Pan, Ju Liu, Chengwei Zou, Mengyuan Zhang, Fengyun Dong, Yinglong Hou, Xiang‐An Li, Hong Feng and Shao‐Jiang Song and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Ling Guo

54 papers receiving 702 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ling Guo 207 114 96 92 91 58 712
Miao Guo 201 1.0× 62 0.5× 69 0.7× 46 0.5× 99 1.1× 66 792
Yuchuan Huang 276 1.3× 60 0.5× 59 0.6× 162 1.8× 97 1.1× 43 764
Shirong Li 221 1.1× 66 0.6× 185 1.9× 67 0.7× 52 0.6× 58 898
Tingting Lu 267 1.3× 66 0.6× 64 0.7× 47 0.5× 46 0.5× 51 694
Dong Kyu Kim 158 0.8× 31 0.3× 119 1.2× 48 0.5× 78 0.9× 74 717
Lili Wu 231 1.1× 219 1.9× 141 1.5× 125 1.4× 35 0.4× 57 896
Yongzhen Liu 228 1.1× 53 0.5× 92 1.0× 71 0.8× 75 0.8× 64 855
Saravanan Subramanian 225 1.1× 148 1.3× 91 0.9× 48 0.5× 47 0.5× 54 873
Deepika Arora 262 1.3× 80 0.7× 52 0.5× 48 0.5× 129 1.4× 55 757
Zhenjie Liu 201 1.0× 124 1.1× 83 0.9× 47 0.5× 126 1.4× 47 785

Countries citing papers authored by Ling Guo

Since Specialization
Citations

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

Fields of papers citing papers by Ling Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Guo. A scholar is included among the top collaborators of Ling Guo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ling Guo. Ling Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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