Lingbo Liu

2.5k citations
70 papers · 1.7k · h-index 21

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Aging top 10%

Papers in

    • RNA Interference and Gene Delivery 6
    • Hematopoietic Stem Cell Transplantation 9
    • Acute Myeloid Leukemia Research 7

Lingbo Liu

65 papers receiving 1.7k citations

Peers

Lingbo Liu
Comparison fields: 5 of 133
  • Hematology 276
  • Aging 30
  • Cancer Research 184
  • Genetics 131
  • Geriatrics and Gerontology 34
Replace Tao Lu with:
Tao Lu China
Xinyue Liang China
Deguan Li China
Bo Ning China
Rong Zhang China
Gaofeng Fan China
Jingying Xu China
Daniel C. Flynn United States
Roberta Di Pietro Italy
Lingbo Liu relative to Tao Lu China Tao Lu's profile →
Citations per field
00.5×5.7×
Tao Lu · 1×
Citations per year

Countries citing papers authored by Lingbo Liu

Since Specialization
Citations

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

Fields of papers citing papers by Lingbo Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009250
2 2017150
3 2014126
4 201198
5 201894
6 200993
7 202073
8 201361
9 201158
10 201458
11 201152
12 202246
13 201239
14 201838
15 201536
16 202130
17 202326
18 202224
19 202323
20 202222

About Lingbo Liu

Lingbo Liu is a scholar working on Molecular Biology, Hematology, Materials Chemistry, Physiology and Organic Chemistry, having authored 70 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (9 papers), Telomeres, Telomerase, and Senescence (9 papers), Acute Myeloid Leukemia Research (7 papers), Surfactants and Colloidal Systems (6 papers), RNA Interference and Gene Delivery (6 papers), 2D Materials and Applications (5 papers), Advanced Photocatalysis Techniques (5 papers) and Nuclear Materials and Properties (5 papers). The work is most often cited by research in Hematology (276 citations), Aging (30 citations), Cancer Research (184 citations), Genetics (131 citations) and Geriatrics and Gerontology (34 citations). Lingbo Liu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Daohong Zhou, Aimin Meng, Senthil Pazhanisamy, Kangbing Wu, Yong Wang, Hongliang Li, Ping Zou, Yong Wang, Daohong Zhou and Lijian Shao. Their work appears in journals such as Blood, Journal of Molecular Liquids, Analytica Chimica Acta, Sensors and Actuators B Chemical and Fusion Engineering and Design.

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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