Xubo Tang

596 citations
17 papers · 317 indexed · 1 hit paper · h-index 8
Topics
Bacteriophages and microbial interactions (10 papers)Genomics and Phylogenetic Studies (9 papers)Machine Learning in Bioinformatics (4 papers)
Journals
Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics
Partner nations
Hong KongChinaAustralia

In The Last Decade

Xubo Tang

16 papers receiving 315 citations

Hit Papers

PhaTYP: predicting the lifestyle for bacteriophages using...202220262023202420224080120

Peers

Xubo Tang
Comparison fields: 5 of 56
  • Ecology 211
  • Molecular Biology 146
  • Infectious Diseases 48
  • Plant Science 40
  • Microbiology 36
Replace Michal Babinski with:
Michal Babinski United States
Rodrigo Ibarra‐Chávez United Kingdom
Gamaliel López-Leal Mexico
Jeffrey K. Cornuault Canada
Albert C. Vill United States
Zhencheng Fang China
Elizaveta V. Starikova Russia
Julien Van Braekel Belgium
Aya Brown Kav Israel
Karen Fong Canada
Xubo Tang relative to Michal Babinski United States Michal Babinski's profile →
Citations per field
00.5×4.8×
Michal Babinski · 1×
Citations per year

Countries citing papers authored by Xubo Tang

Since Specialization
Citations

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

Fields of papers citing papers by Xubo Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xubo Tang

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 2
2 2
3 1
4 0
5 1
6 38
7 50
8 14
9 12
10 12
11 4
12
PhaTYP: predicting the lifestyle for bacteriophages using BERTbreakdown →
123
13 2
14 3
15 36
16 4
17 13

About Xubo Tang

Xubo Tang is a scholar working on Endocrinology, Ecology and Molecular Medicine, having authored 17 papers that have together received 317 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (10 papers), Genomics and Phylogenetic Studies (9 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Ecology (211 citations), Endocrinology (30 citations) and Microbiology (36 citations). Xubo Tang has collaborated with scholars based in Hong Kong, China and Australia. Frequent co-authors include Yanni Sun, Jiayu Shang, Ruocheng Guo, Guowei Chen, Mǎng Shī, Shuai Liu, Fan Zhang, Xiaotao Jiang, Emad El‐Omar and Kei Hang Katie Chan. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

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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