Hang Xu

1.6k citations
19 papers · 629 indexed · 3 hit papers · h-index 9
Topics
Single-cell and spatial transcriptomics (3 papers)Cancer, Hypoxia, and Metabolism (3 papers)Genomics and Rare Diseases (2 papers)

In The Last Decade

Hang Xu

19 papers receiving 618 citations

Hit Papers

Spatially informed clustering, integration, and deconvolu...202320262024202520232024202450100150200

Peers

Hang Xu
Comparison fields: 5 of 88
  • Molecular Biology 460
  • Cancer Research 108
  • Epidemiology 58
  • Immunology 56
  • Physiology 47
Replace Zhuoqing Fang with:
Zhuoqing Fang United States
Sophia Müller‐Dott Germany
Rasa Elmentaite United Kingdom
Erin Oerton United Kingdom
Jeanette Baran‐Gale United States
Cameron G. Williams Australia
Anna Danese Germany
Jana M. Braunger Germany
Tina X. Chen United States
Mahmoud M. Ibrahim Germany
Hang Xu relative to Zhuoqing Fang United States Zhuoqing Fang's profile →
Citations per field
00.5×1.5×1.9×
Zhuoqing Fang · 1×
Citations per year

Countries citing papers authored by Hang Xu

Since Specialization
Citations

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

Fields of papers citing papers by Hang Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Xu

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 2
2 3
3
Unsupervised spatially embedded deep representation of spatial transcriptomicsbreakdown →
119
4
Deciphering spatial domains from spatial multi-omics with SpatialGluebreakdown →
58
5 1
6
Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphSTbreakdown →
230
7 4
8 7
9 6
10 2
11 2
12 20
13 72
14 33
15 8
16 2
17 1
18 10
19 49

About Hang Xu

Hang Xu is a scholar working on Urology, Cancer Research and Sensory Systems, having authored 19 papers that have together received 629 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Biophysics (45 citations), Cancer Research (108 citations) and Molecular Biology (460 citations). Hang Xu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ao Chen, Kok Siong Ang, Raman Sethi, Yahui Long, Mengwei Li, Longqi Liu, Huazhu Fu, Jinmiao Chen, Chengwei Zhong and Min Wu. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Nature Methods.

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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