Evan Tan

555 citations
8 papers · 390 · h-index 5

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Extracellular vesicles in disease
    • Circular RNAs in diseases
    • RNA Interference and Gene Delivery
    • Viral Infectious Diseases and Gene Expression in Insects

Papers in

    • Extracellular vesicles in disease 3
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Virus-based gene therapy research 2

Evan Tan

7 papers receiving 383 citations

Peers

Evan Tan
Comparison fields: 5 of 72
  • Cancer Research 134
  • Molecular Biology 311
  • Immunology and Allergy 14
  • Immunology 27
  • Oncology 32
Replace E S Rennel with:
E S Rennel United Kingdom
Bo R. Hansen Denmark
Lauren McGee United States
Funian Lu China
J-Y. Hung Taiwan
Alberto Herrera Spain
Mary J. Pulvino United States
Ingrid Lilienthal Sweden
Nikhil Gupta United States
Gautam N. Shenoy United States
Evan Tan relative to E S Rennel United Kingdom E S Rennel's profile →
Citations per field
00.5×5×11×
E S Rennel · 1×
Citations per year

Countries citing papers authored by Evan Tan

Since Specialization
Citations

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

Fields of papers citing papers by Evan Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Evan 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 Evan Tan Line = papers co-authored together Evan Tan links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2021128
2 2012128
3 201494
4 201819
5 201713
6 20244
7 20173
8 20231

About Evan Tan

Evan Tan is a scholar working on Molecular Biology, Genetics, Immunology and Allergy, Immunology and Cancer Research, having authored 8 papers that have together received 390 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Cell Adhesion Molecules Research (2 papers), MicroRNA in disease regulation (2 papers), Virus-based gene therapy research (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Cardiac Imaging and Diagnostics (1 paper) and Cancer-related molecular mechanisms research (1 paper). The work is most often cited by research in Cancer Research (134 citations), Molecular Biology (311 citations), Immunology and Allergy (14 citations), Immunology (27 citations) and Oncology (32 citations). Evan Tan has collaborated with scholars based in Singapore and United States. Frequent co-authors include H. Harry Asada, Ruowen Ge, Soheila Sharghi-Namini, Say Kong Ng, Lee‐Ling Sharon Ong, Lina Zhu, Yie Hou Lee, Xuezhi Bi, Yee Jiun Kok and Weiwei Huang. Their work appears in journals such as European Heart Journal, Angiogenesis, Frontiers in Bioengineering and Biotechnology, Scientific Reports and SLAS TECHNOLOGY.

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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