Lie Yao

711 citations
32 papers · 566 · h-index 15

Impact in

  • Biophysics top 5%
    • Spectroscopy Techniques in Biomedical and Chemical Research
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Pancreatic and Hepatic Oncology Research 11
    • Lung Cancer Research Studies 2
    • Cancer Cells and Metastasis 2
    • Cancer-related molecular mechanisms research 3
    • Cancer Genomics and Diagnostics 2

Lie Yao

31 papers receiving 556 citations

Peers

Lie Yao
Comparison fields: 5 of 77
  • Biophysics 101
  • Oncology 189
  • Cancer Research 89
  • Analytical Chemistry 57
  • Health Informatics 6
Replace Sara Albasini with:
Sara Albasini Italy
F Piccotti Italy
Dharati R. Trivedi United States
Jürgen Glatz Germany
Tyler T. Cooper Canada
Jeng‐Wei Tjiu Taiwan
Szczepan Cierniak Poland
Yongjun Chen China
Tingjiao Liu China
Dagmar Pfeiffer Austria
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Citations per field
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Sara Albasini · 1×
Citations per year

Countries citing papers authored by Lie Yao

Since Specialization
Citations

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

Fields of papers citing papers by Lie Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019132
2 201340
3 201434
4 201832
5 201827
6 201324
7 201822
8 202121
9 200920
10 201520
11 201419
12 201218
13 202017
14 201016
15 201816
16
Circulating tumor cells in pancreatic cancer patients: efficacy in diagnosis and value in prognosis.
201613
17 201812
18 201811
19 201510
20 202010

About Lie Yao

Lie Yao is a scholar working on Oncology, Cancer Research, Surgery, Biophysics and Neurology, having authored 32 papers that have together received 566 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (11 papers), Pancreatitis Pathology and Treatment (4 papers), Cancer-related molecular mechanisms research (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Cancer Genomics and Diagnostics (2 papers), Lung Cancer Research Studies (2 papers), Gallbladder and Bile Duct Disorders (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Biophysics (101 citations), Oncology (189 citations), Cancer Research (89 citations), Analytical Chemistry (57 citations) and Health Informatics (6 citations). Lie Yao has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Deliang Fu, Chen Jin, Feng Yang, Di Yang, Sijie Hao, Yongjian Jiang, Hang He, Xiang Zou, Ji Li and Minbiao Ji. Their work appears in journals such as Nanoscale Research Letters, Journal of Cellular and Molecular Medicine, Analytical Chemistry, Cancer Biology & Therapy and World Journal of Surgical Oncology.

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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