Peigang Ji

53 total papers · 636 total citations
31 papers, 435 citations indexed

About

Peigang Ji is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, Peigang Ji has authored 31 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 10 papers in Molecular Biology and 10 papers in Epidemiology. Recurrent topics in Peigang Ji's work include Glioma Diagnosis and Treatment (12 papers), Traumatic Brain Injury and Neurovascular Disturbances (5 papers) and Meningioma and schwannoma management (4 papers). Peigang Ji is often cited by papers focused on Glioma Diagnosis and Treatment (12 papers), Traumatic Brain Injury and Neurovascular Disturbances (5 papers) and Meningioma and schwannoma management (4 papers). Peigang Ji collaborates with scholars based in China, United States and Germany. Peigang Ji's co-authors include Liang Wang, Fuqiang Feng, Miao Lou, Jinghui Liu, Yang Chen, Guodong Gao, Lina Zhang, Yanyang Tu, Shiming He and Jingyu Zhang and has published in prestigious journals such as Journal of Cellular Biochemistry, American Journal of Neuroradiology and Journal of Neurotrauma.

In The Last Decade

Peigang Ji

25 papers receiving 433 citations

Author Peers

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

Author Last Decade Papers Cites
Peigang Ji 184 90 79 74 65 31 435
Fuqiang Feng 245 1.3× 56 0.6× 72 0.9× 122 1.6× 54 0.8× 20 436
Xing Su 144 0.8× 106 1.2× 41 0.5× 41 0.6× 51 0.8× 43 484
Yan Li 222 1.2× 53 0.6× 29 0.4× 66 0.9× 40 0.6× 34 490
Chunhui Li 199 1.1× 23 0.3× 120 1.5× 83 1.1× 42 0.6× 33 460
Xiaoting Zhu 209 1.1× 42 0.5× 48 0.6× 65 0.9× 45 0.7× 35 451
Ruohan Yang 187 1.0× 45 0.5× 56 0.7× 73 1.0× 33 0.5× 29 417
Laura Bender 159 0.9× 42 0.5× 104 1.3× 43 0.6× 33 0.5× 32 441
Zachary C. Gersey 192 1.0× 87 1.0× 39 0.5× 59 0.8× 47 0.7× 39 474
Hongzhi Xu 117 0.6× 36 0.4× 47 0.6× 40 0.5× 19 0.3× 28 370
Yaqian Hu 226 1.2× 44 0.5× 48 0.6× 96 1.3× 50 0.8× 26 468

Countries citing papers authored by Peigang Ji

Since Specialization
Citations

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

Fields of papers citing papers by Peigang Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peigang Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Peigang Ji. A scholar is included among the top collaborators of Peigang Ji 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 Peigang Ji. Peigang Ji 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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