Xin Gao

23.0k citations
550 papers · 12.0k indexed · 5 hit papers · h-index 56

Impact in

    • Machine Learning in Bioinformatics
    • RNA and protein synthesis mechanisms
    • Protein Structure and Dynamics
    • Genomics and Phylogenetic Studies
    • Bioinformatics and Genomic Networks
    • Metabolomics and Mass Spectrometry Studies

Papers in

Xin Gao

508 papers receiving 11.8k citations

Hit Papers

Pre-trained multimodal large language model enhances dermatological diagnosis using SkinGPT-4 2024 · 57 citations
572017202620202023100200300

Peers

Xin Gao
Comparison fields: 5 of 210
  • Health Informatics 234
  • Molecular Biology 5.9k
  • Parasitology 487
  • Cancer Research 995
  • Structural Biology 89
Replace Ole Winther with:
Ole Winther Denmark
David T. Jones United Kingdom
Alfonso Valencia Spain
Dong Xu United States
Bonnie Berger United States
Peter J. Wild Germany
Li Li China
Burkhard Rost United States
William Stafford Noble United States
Zoran Obradović United States
Xin Gao relative to Ole Winther Denmark Ole Winther's profile →
Citations per field
00.5×2.7×
Ole Winther · 1×
Citations per year

Countries citing papers authored by Xin Gao

Since Specialization
Citations

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

Fields of papers citing papers by Xin Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202429
2 20244
3 202414
4 20246
5 20244
6 20241
7 202321
8 20235
9 20238
10 20236
11 20225
12 20225
13 20225
14 20198
15 201914
16 201911
17 201857
18 201872
19 201819
20 201518

About Xin Gao

Xin Gao is a scholar working on Structural Biology, Health Informatics, Molecular Biology, Computational Mathematics and Artificial Intelligence, having authored 550 papers that have together received 12.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (62 papers), Machine Learning in Bioinformatics (45 papers), Genomics and Phylogenetic Studies (43 papers), Protein Structure and Dynamics (40 papers), Bioinformatics and Genomic Networks (34 papers), Radiomics and Machine Learning in Medical Imaging (28 papers), Computational Drug Discovery Methods (28 papers) and RNA modifications and cancer (24 papers). The work is most often cited by research in Health Informatics (234 citations), Molecular Biology (5.9k citations), Parasitology (487 citations), Cancer Research (995 citations) and Structural Biology (89 citations). Xin Gao has collaborated with scholars based in Saudi Arabia, China and United States. Frequent co-authors include Yu Li, Jim Jing-Yan Wang, Ming Fan, Bin Liu, Hanyu Zhang, Lihua Li, Takashi Gojobori, Magbubah Essack, Zhongxiao Li and Hiroyuki Kuwahara. Their work appears in journals such as Bioinformatics, Nature Communications, Briefings in Bioinformatics, Scientific Reports and Nucleic Acids Research.

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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