Lisha Liu

858 citations
47 papers · 668 · h-index 14

Impact in

Papers in

    • RNA Interference and Gene Delivery 6
    • Advanced biosensing and bioanalysis techniques 3
    • Immune cells in cancer 5
    • Immunotherapy and Immune Responses 3

Lisha Liu

44 papers receiving 663 citations

Peers

Lisha Liu
Comparison fields: 5 of 81
  • Biomaterials 171
  • Immunology 93
  • Biomedical Engineering 199
  • Radiology, Nuclear Medicine and Imaging 85
  • Cancer Research 56
Replace Maike Baues with:
Maike Baues Germany
Stephan Rogalla United States
Francisco J. Cimas Spain
Vidya Ganapathy United States
Fiona H. Tan Australia
Danfeng Luo China
Lian Li China
Sanjay Thamake United States
M. Emmy M. Dolman Netherlands
Haozhe Huang China
Lisha Liu relative to Maike Baues Germany Maike Baues's profile →
Citations per field
00.5×
Maike Baues · 1×
Citations per year

Countries citing papers authored by Lisha Liu

Since Specialization
Citations

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

Fields of papers citing papers by Lisha Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018108
2 202353
3 201847
4 201343
5 201541
6 201640
7 201833
8 201730
9 201228
10 201822
11 202422
12 201317
13 202416
14 201116
15 201913
16 202113
17 201211
18 202311
19 201911
20 200710

About Lisha Liu

Lisha Liu is a scholar working on Molecular Biology, Immunology, Pulmonary and Respiratory Medicine, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 47 papers that have together received 668 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (6 papers), Immune cells in cancer (5 papers), Ferroptosis and cancer prognosis (5 papers), Nanoplatforms for cancer theranostics (5 papers), Ultrasound Imaging and Elastography (4 papers), MicroRNA in disease regulation (4 papers), Immunotherapy and Immune Responses (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Biomaterials (171 citations), Immunology (93 citations), Biomedical Engineering (199 citations), Radiology, Nuclear Medicine and Imaging (85 citations) and Cancer Research (56 citations). Lisha Liu has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Yifei Lü, Yujie Zhang, Chunhui Ruan, Tao Sun, Qinjun Chen, Qin Guo, Chen Jiang, Xi He, Qingbing Wang and Yu Zhang. Their work appears in journals such as Journal of Controlled Release, Advanced Science, Journal of Nuclear Cardiology, Scientific Reports and Biomaterials Science.

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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