Aidi Tan

902 citations
12 papers · 610 · 1 hit paper · h-index 6

Impact in

Papers in

Aidi Tan

12 papers receiving 600 citations

Aidi Tan's Hit Papers

Dissecting the Single-Cell Transcriptome Network Underlying Gastric Premalignant Lesions and Early Gastric Cancer 2019 · 348 citations
3480+2+4Years since publication100200300

Peers

Aidi Tan
Comparison fields: 5 of 75
  • Cancer Research 118
  • Aging 14
  • Molecular Biology 330
  • Immunology 91
  • Oncology 109
Replace Simone Ragusa with:
Simone Ragusa Switzerland
Crystal M. Weyman United States
Emanuele Panatta Italy
Claire Worrall Sweden
Sue Kong United States
Wendy M. McKimpson United States
Maoying Han China
Mauro Sbroggió Italy
Yoshiaki Sunami Germany
Aidi Tan relative to Simone Ragusa Switzerland Simone Ragusa's profile →
Citations per field
00.5×1.5×2×2.3×
Simone Ragusa · 1×
Citations per year

Countries citing papers authored by Aidi Tan

Since Specialization
Citations

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

Fields of papers citing papers by Aidi Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
Dissecting the Single-Cell Transcriptome Network Underlying Gastric Premalignant Lesions and Early Gastric Cancer
Hit paper breakdown →
2019348
2 2017148
3 202041
4 201927
5 202019
6 201513
7 20166
8 20234
9 20241
10 20241
11 20251
12 20221

About Aidi Tan

Aidi Tan is a scholar working on Oncology, Cancer Research, Aging, Ecological Modeling and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 610 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Cancer Genomics and Diagnostics (1 paper), Image Retrieval and Classification Techniques (1 paper), Blockchain Technology Applications and Security (1 paper), Chronic Kidney Disease and Diabetes (1 paper), Oceanographic and Atmospheric Processes (1 paper) and Renal Diseases and Glomerulopathies (1 paper). The work is most often cited by research in Cancer Research (118 citations), Aging (14 citations), Molecular Biology (330 citations), Immunology (91 citations) and Oncology (109 citations). Aidi Tan has collaborated with scholars based in China and United States. Frequent co-authors include Shao Li, Peng Zhang, Yiding Zhang, Mingran Yang, Xinxing Lai, Shiyu Du, Shuai Xiao, Wenxuan Liu, Lan Wei‐LaPierre and Robert T. Dirksen. Their work appears in journals such as Cell Reports, PLoS ONE, eLife, ACS Synthetic Biology and Applied Intelligence.

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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