Xi Su

1.9k citations
65 papers · 1.2k · h-index 19

Impact in

Papers in

    • Machine Learning in Bioinformatics 7
    • Epigenetics and DNA Methylation 6
    • Gut microbiota and health 4
    • RNA and protein synthesis mechanisms 4
    • Aquaculture disease management and microbiota 5

Xi Su

63 papers receiving 1.2k citations

Peers

Xi Su
Comparison fields: 5 of 132
  • Biological Psychiatry 59
  • Cancer Research 174
  • Immunology 168
  • Molecular Biology 559
  • Aquatic Science 55
Replace Cristina Espinosa‐Díez with:
Cristina Espinosa‐Díez United States
G. Montorfano Italy
Gernot Poschet Germany
Hongyan Yu China
John P. Kennelly United States
Patricia Sánchez-Pérez Spain
Ke Cui China
Rabia Ramzan Germany
Cunqi Ye China
Xi Su relative to Cristina Espinosa‐Díez United States Cristina Espinosa‐Díez's profile →
Citations per field
00.5×5.4×
Cristina Espinosa‐Díez · 1×
Citations per year

Countries citing papers authored by Xi Su

Since Specialization
Citations

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

Fields of papers citing papers by Xi Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xi 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 Xi Su Line = papers co-authored together Xi Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021161
2 2022149
3 201979
4 201163
5 202143
6 202235
7 202134
8 202234
9 202133
10 202031
11 202230
12 202324
13 202224
14 202124
15 202124
16 201723
17 202223
18 202221
19 201721
20 202318

About Xi Su

Xi Su is a scholar working on Molecular Biology, Immunology, Genetics, Biological Psychiatry and Neurology, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (7 papers), Epigenetics and DNA Methylation (6 papers), Genetic Associations and Epidemiology (6 papers), Tryptophan and brain disorders (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Aquaculture disease management and microbiota (5 papers), Gut microbiota and health (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Biological Psychiatry (59 citations), Cancer Research (174 citations), Immunology (168 citations), Molecular Biology (559 citations) and Aquatic Science (55 citations). Xi Su has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xulu Chang, Jianxin Zhang, Junchang Feng, Wenqiang Li, Luxian Lv, Guokun Yang, Xiaolin Meng, Jun Cheng, Tianyu Cui and Xianfeng Wang. Their work appears in journals such as Nucleic Acids Research, Frontiers in Psychiatry, Briefings in Bioinformatics, Ecotoxicology and Environmental Safety and PLoS ONE.

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.

Explore authors with similar magnitude of impact