G. Wang

8 total papers · 746 total citations
4 papers, 475 citations indexed

About

G. Wang is a scholar working on Infectious Diseases, Surgery and Molecular Biology. According to data from OpenAlex, G. Wang has authored 4 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Infectious Diseases, 1 paper in Surgery and 1 paper in Molecular Biology. Recurrent topics in G. Wang's work include COVID-19 Clinical Research Studies (1 paper), Nerve injury and regeneration (1 paper) and Neurogenesis and neuroplasticity mechanisms (1 paper). G. Wang is often cited by papers focused on COVID-19 Clinical Research Studies (1 paper), Nerve injury and regeneration (1 paper) and Neurogenesis and neuroplasticity mechanisms (1 paper). G. Wang collaborates with scholars based in China. G. Wang's co-authors include Fan Cheng, Yao Xu, Weiguo Dong, Min Yu, Xuemei Jia, Jie Wei, Zuojiong Gong, Chenliang Zhou, Ke Hu and Honggang Yu and has published in prestigious journals such as Clinical Microbiology and Infection and European Psychiatry.

In The Last Decade

G. Wang

4 papers receiving 457 citations

Hit Papers

Risk factors for disease ... 2020 2026 2022 2024 2020 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Risk factors for disease severity, unimprovement, and mortality in COVID-19 patients in Wuhan, China
    2020 462 citations Xuemei Jia, J. Li et al. Clinical Microbiology and Infection profile →

Author Peers

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

Author Last Decade Papers Cites
G. Wang 334 171 131 56 41 4 475
J. Li 334 1.0× 171 1.0× 131 1.0× 56 1.0× 41 1.0× 6 499
Asal Seraji 326 1.0× 191 1.1× 122 0.9× 63 1.1× 26 0.6× 7 478
Federico Espinosa 285 0.9× 135 0.8× 126 1.0× 51 0.9× 48 1.2× 4 420
Ezequiel Saavedra 285 0.9× 136 0.8× 126 1.0× 51 0.9× 48 1.2× 4 418
Camila Agnoletti 285 0.9× 135 0.8× 126 1.0× 51 0.9× 48 1.2× 4 417
Jake Gundrum 263 0.8× 121 0.7× 141 1.1× 50 0.9× 31 0.8× 8 452
Kelly Malette 333 1.0× 215 1.3× 148 1.1× 59 1.1× 20 0.5× 5 491
A Bengolea 287 0.9× 135 0.8× 126 1.0× 51 0.9× 48 1.2× 7 421
Verónica Sanguine 287 0.9× 135 0.8× 126 1.0× 51 0.9× 48 1.2× 5 430
Hafsa Abdulla 321 1.0× 208 1.2× 146 1.1× 56 1.0× 18 0.4× 4 467

Countries citing papers authored by G. Wang

Since Specialization
Citations

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

Fields of papers citing papers by G. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Wang

This figure shows the co-authorship network connecting the top 25 collaborators of G. Wang. A scholar is included among the top collaborators of G. Wang 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 G. Wang. G. Wang 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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2026