Lu Yu

1.0k citations
48 papers · 730 · h-index 16

Impact in

  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research
    • Inflammatory Biomarkers in Disease Prognosis
    • Cancer Immunotherapy and Biomarkers
  • Hematology top 10%
    • Chronic Myeloid Leukemia Treatments

Papers in

    • Chronic Myeloid Leukemia Treatments 19
    • Acute Myeloid Leukemia Research 3
    • Pancreatic and Hepatic Oncology Research 7
    • Cancer Immunotherapy and Biomarkers 2

Lu Yu

46 papers receiving 721 citations

Peers

Lu Yu
Comparison fields: 5 of 83
  • Oncology 317
  • Hematology 130
  • Genetics 62
  • Cancer Research 84
  • Epidemiology 94
Replace Geoffroy Venton with:
Geoffroy Venton France
A. Krämer Germany
Vladimir Vainstein Israel
Shuncong Wang China
Laure Farnault France
Georgios Nteliopoulos United Kingdom
Asima Mukhopadhyay India
Shilpa Paul United States
Junru Liu China
Mads Holten-Andersen Denmark
Lu Yu relative to Geoffroy Venton France Geoffroy Venton's profile →
Citations per field
00.5×3.2×
Geoffroy Venton · 1×
Citations per year

Countries citing papers authored by Lu Yu

Since Specialization
Citations

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

Fields of papers citing papers by Lu Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016131
2 201755
3 201853
4 201649
5 201837
6 201435
7 201733
8 201830
9 201723
10 201723
11 201621
12 202421
13 201618
14 201916
15 201816
16 202316
17 201815
18 201714
19 202212
20 201811

About Lu Yu

Lu Yu is a scholar working on Hematology, Oncology, Genetics, Epidemiology and Molecular Biology, having authored 48 papers that have together received 730 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (19 papers), Chronic Lymphocytic Leukemia Research (9 papers), Pancreatic and Hepatic Oncology Research (7 papers), Neuroendocrine Tumor Research Advances (6 papers), Acute Myeloid Leukemia Research (3 papers), RNA Interference and Gene Delivery (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Oncology (317 citations), Hematology (130 citations), Genetics (62 citations), Cancer Research (84 citations) and Epidemiology (94 citations). Lu Yu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xianjun Yu, Chen Liu, Guopei Luo, Kaizhou Jin, Qian Jiang, Jiang Long, Jin Xu, Quanxing Ni, Meng Guo and Cheng He. Their work appears in journals such as Journal of Cancer Research and Clinical Oncology, Pancreatology, Blood, Cancer Letters and Cell Death Discovery.

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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