Lie Yao

696 citations
31 papers · 535 · 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 10
    • Cancer Cells and Metastasis 2
    • Lung Cancer Research Studies 2
    • Pancreatitis Pathology and Treatment 3

Lie Yao

30 papers receiving 528 citations

Peers

Lie Yao
Comparison fields: 5 of 77
  • Biophysics 91
  • Oncology 182
  • Cancer Research 85
  • Analytical Chemistry 52
  • Health Informatics 5
Replace F Piccotti with:
F Piccotti Italy
Sara Albasini Italy
Andrée‐Anne Grosset Canada
Kun-He Zhang China
Huirong Ding China
Dharati R. Trivedi United States
Tyler T. Cooper Canada
Qiuhui Yang China
Tingyu Wu China
Lie Yao relative to F Piccotti Italy F Piccotti's profile →
Citations per field
00.5×3.8×
F Piccotti · 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019118
2 201340
3 201435
4 201831
5 201824
6 201324
7 201822
8 201519
9 201218
10 201418
11 200918
12 202118
13 202016
14 201016
15 201816
16 201812
17
Circulating tumor cells in pancreatic cancer patients: efficacy in diagnosis and value in prognosis.
201612
18 201811
19 202010
20 20159

About Lie Yao

Lie Yao is a scholar working on Oncology, Surgery, Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 535 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (10 papers), Pancreatitis Pathology and Treatment (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer Genomics and Diagnostics (2 papers), Cancer Cells and Metastasis (2 papers), Lung Cancer Research Studies (2 papers), Graphene and Nanomaterials Applications (2 papers) and Gallbladder and Bile Duct Disorders (2 papers). The work is most often cited by research in Biophysics (91 citations), Oncology (182 citations), Cancer Research (85 citations), Analytical Chemistry (52 citations) and Health Informatics (5 citations). Lie Yao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Deliang Fu, Chen Jin, Feng Yang, Di Yang, Sijie Hao, Yongjian Jiang, Hang He, Ji Li, Xiang Zou and Minbiao Ji. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Nanoscale Research Letters, Cancer Biology & Therapy, International Journal of Surgery and Surgical Laparoscopy Endoscopy & Percutaneous Techniques.

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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