Xing Su

495 citations
15 papers · 365 · h-index 9

Impact in

Papers in

    • Circular RNAs in diseases 3
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Virus-based gene therapy research 6

Xing Su

15 papers receiving 359 citations

Peers

Xing Su
Comparison fields: 5 of 47
  • Obstetrics and Gynecology 53
  • Biotechnology 50
  • Cancer Research 68
  • Oncology 115
  • Genetics 123
Replace Elisabeth Schultheiss with:
Elisabeth Schultheiss Switzerland
Xiaoqian Tuo China
Jorge Hernández‐Montes Mexico
Harumi Saeki Japan
Julia Bulkescher Germany
Dominique Duro France
Damiá Tormo Germany
Anja Honegger Germany
Roland Degenkolbe Singapore
Ayaka Hulbert United States
Xing Su relative to Elisabeth Schultheiss Switzerland Elisabeth Schultheiss's profile →
Citations per field
00.5×10×12.5×
Elisabeth Schultheiss · 1×
Citations per year

Countries citing papers authored by Xing Su

Since Specialization
Citations

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

Fields of papers citing papers by Xing Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xing Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xing Su Line = papers co-authored together Xing Su links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 200898
2 201969
3 201647
4 201538
5
[Recombinant adenovirus-p53 gene therapy combined with radiotherapy for head and neck squamous-cell carcinoma].
200522
6 200516
7 201616
8 201415
9 201813
10 20178
11 20226
12 20225
13 20185
14 20064
15 20173

About Xing Su

Xing Su is a scholar working on Molecular Biology, Genetics, Cancer Research, Immunology and Oncology, having authored 15 papers that have together received 365 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (3 papers), Reproductive System and Pregnancy (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Pregnancy and preeclampsia studies (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Obstetrics and Gynecology (53 citations), Biotechnology (50 citations), Cancer Research (68 citations), Oncology (115 citations) and Genetics (123 citations). Xing Su has collaborated with scholars based in China and United States. Frequent co-authors include Hui Peng, Xiaoyu Du, Yang Bai, Xu Ma, Yi Hu, Dongming Li, Shaowen Xiao, Shanwen Zhang, Gang Xu and Jingli Cao. Their work appears in journals such as Journal of Clinical Oncology, Brain Research, Reproduction, International Journal of Hyperthermia and Biochimica et Biophysica Acta (BBA) - General Subjects.

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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