Lanting Liu

936 citations
55 papers · 550 · h-index 15

Impact in

Papers in

    • Multiple Myeloma Research and Treatments 16
    • Acute Myeloid Leukemia Research 4
    • Ubiquitin and proteasome pathways 5
    • Protein Degradation and Inhibitors 5

Lanting Liu

47 papers receiving 534 citations

Peers

Lanting Liu
Comparison fields: 5 of 76
  • Hematology 112
  • Pathology and Forensic Medicine 81
  • Oncology 123
  • Dermatology 28
  • Genetics 31
Replace Yoshihito Hayami with:
Yoshihito Hayami Japan
Jilu Zhang China
S Sato Japan
Yoon Keun Kim South Korea
Kazuaki Miyagawa Japan
Xiaoxin Zhang China
Jin Mei China
Zerrin Yılmaz Türkiye
Akihiro Hoshino Japan
Alessandra Camboni Belgium
Lanting Liu relative to Yoshihito Hayami Japan Yoshihito Hayami's profile →
Citations per field
00.5×10.7×
Yoshihito Hayami · 1×
Citations per year

Countries citing papers authored by Lanting Liu

Since Specialization
Citations

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

Fields of papers citing papers by Lanting Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201279
2 202036
3 202228
4 201728
5 202023
6 200323
7 199322
8 202322
9 201922
10 202221
11 200416
12 200416
13 202016
14 202015
15 201514
16 202114
17 202012
18 202211
19 202410
20 20249

About Lanting Liu

Lanting Liu is a scholar working on Hematology, Molecular Biology, Mechanical Engineering, Materials Chemistry and Mechanics of Materials, having authored 55 papers that have together received 550 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (16 papers), Microstructure and mechanical properties (10 papers), Metal and Thin Film Mechanics (7 papers), Ubiquitin and proteasome pathways (5 papers), Protein Degradation and Inhibitors (5 papers), Aluminum Alloys Composites Properties (4 papers), Acute Myeloid Leukemia Research (4 papers) and Chronic Lymphocytic Leukemia Research (4 papers). The work is most often cited by research in Hematology (112 citations), Pathology and Forensic Medicine (81 citations), Oncology (123 citations), Dermatology (28 citations) and Genetics (31 citations). Lanting Liu has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Lugui Qiu, Mu Hao, Qiong Deng, M.R. An, Gang An, Susan A. Davidson, Weiwei Sui, Xiaojing Wei, Meenakshi Singh and Ruifeng Wang. Their work appears in journals such as Blood, Haematologica, American Journal of Clinical Pathology, Frontiers in Immunology and EBioMedicine.

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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