Xing Gu

1.3k citations
60 papers · 1.0k indexed · h-index 17
Topics
Glycosylation and Glycoproteins Research (9 papers)Ubiquitin and proteasome pathways (7 papers)Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers)

In The Last Decade

Xing Gu

58 papers receiving 991 citations

Peers

Xing Gu
Comparison fields: 5 of 97
  • Molecular Biology 621
  • Cancer Research 203
  • Immunology 187
  • Oncology 174
  • Epidemiology 159
Replace Chiung‐Fang Chang with:
Chiung‐Fang Chang Taiwan
Jehng-Kang Wang Taiwan
İlyas Şahin United States
Ludwik K. Trejdosiewicz United Kingdom
Nadira Delhem France
Xiaojun Zhu China
Leiming Xu China
Thomas Pleli Germany
Xing Gu relative to Chiung‐Fang Chang Taiwan Chiung‐Fang Chang's profile →
Citations per field
00.5×3.0×
Chiung‐Fang Chang · 1×
Citations per year

Countries citing papers authored by Xing Gu

Since Specialization
Citations

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

Fields of papers citing papers by Xing Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Xing Gu. A scholar is included among the top collaborators of Xing Gu 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 Xing Gu. Xing Gu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 10
3 8
4 12
5 10
6 10
7 2
8 12
9
Pulse Signal Analysis Based on Improved Ensemble Empirical Decomposition of Hilbert-huang Transform
1
10
Simulation investigation on the nonlinear interaction of internal waves in Luzon Strait via the variable-coefficient model
1
11 54
12 15
13 5
14 5
15 1
16 25
17 17
18
SOME IDEAS ABOUT HOW TO DEVELOP SEAFLOOR SAMPLING TECHNIQUES IN CHINA
1
19
Impact of Various Loadings Toward Asphalt Paving on Steel Deck Bridge
1
20
Preliminary Detection of Quantitative Trait Loci for Salt Tolerance in Rice
2

About Xing Gu

Xing Gu is a scholar working on General Engineering, Hepatology and Immunology, having authored 60 papers that have together received 1.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (9 papers), Ubiquitin and proteasome pathways (7 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers). The work is most often cited by research in Cancer Research (203 citations), Hepatology (105 citations) and Molecular Biology (621 citations). Xing Gu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Chunfang Gao, Jun Ji, Tonghai Dou, Peng Qi, Feiguo Zhou, Hao Wang, Yunpeng Zhao, Meng Fang, Geng Li and Yumin Mao. Their work appears in journals such as PLoS ONE, Journal of Molecular Biology and Cancer.

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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