Xiaobo Su

665 total citations
24 papers, 501 citations indexed

About

Xiaobo Su is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Xiaobo Su has authored 24 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Genetics and 7 papers in Oncology. Recurrent topics in Xiaobo Su's work include Virus-based gene therapy research (10 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers) and CAR-T cell therapy research (4 papers). Xiaobo Su is often cited by papers focused on Virus-based gene therapy research (10 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers) and CAR-T cell therapy research (4 papers). Xiaobo Su collaborates with scholars based in China, United States and Australia. Xiaobo Su's co-authors include Rong Zhou, Chun‐Yang Fan, Xingui Tian, Craig A. Cooney, Horace J. Spencer, Haitao Li, Luke D. Ratnasinghe, Laura F. Hutchins, Xiao Li and Qiwei Zhang and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Clinical Cancer Research.

In The Last Decade

Xiaobo Su

23 papers receiving 489 citations

Peers

Xiaobo Su
Comparison fields: 5 of 74
  • Molecular Biology 292
  • Genetics 195
  • Oncology 119
  • Infectious Diseases 101
  • Epidemiology 68
Replace Marie-Ming Aynaud with:
Marie-Ming Aynaud France
Gigliola Di Matteo Italy
Giovanni Barillari Italy
Hanna Dreja United Kingdom
Jenny B. Avanzini United States
Maria Yurchenko Ukraine
Birgitt Täuber Germany
Elina Zueva France
Maja Sedic United States
Lena M. Kranz Germany
Marie-Ming Aynaud France View profile →
Citations per field, relative to Xiaobo Su
Xiaobo Su · 1×
Citations per year, relative to Xiaobo Su
Xiaobo Su · 1×

Countries citing papers authored by Xiaobo Su

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobo Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobo Su

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobo Su. A scholar is included among the top collaborators of Xiaobo Su 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 Xiaobo Su. Xiaobo Su 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
# Work Indexed citations
1 4
2 21
3 14
4 17
5 13
6 13
7 8
8 7
9 3
10 8
11 31
12 35
13 6
14 41
15 22
16
[Epidemiological study of human type 5 adenovirus in Guangzhou using chemiluminescence for neutralizing antibody assay].
3
17 38
18 104
19 41
20 32

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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