Yaping Luo

1.8k citations
89 papers · 1.3k · h-index 17

Impact in

  • Oncology top 5%
    • Peptidase Inhibition and Analysis
    • Pancreatic and Hepatic Oncology Research
    • Protease and Inhibitor Mechanisms

Papers in

    • Peptidase Inhibition and Analysis 23
    • Pancreatic and Hepatic Oncology Research 8
    • Neuroendocrine Tumor Research Advances 24

Yaping Luo

84 papers receiving 1.3k citations

Peers

Yaping Luo
Comparison fields: 5 of 79
  • Oncology 726
  • Cancer Research 209
  • Rheumatology 152
  • Epidemiology 316
  • Neurology 121
Replace Qingqing Pan with:
Qingqing Pan China
Yoshiaki Imamura Japan
Bahar Dırıcan Türkiye
Vishwa Jeet Amatya Japan
Serkan Kuyumcu Türkiye
Sabrina Croce France
Piera Federico Italy
Éva Szekanecz Hungary
Luis E. De Las Casas United States
Sidney P. Kadish United States
Yaping Luo relative to Qingqing Pan China Qingqing Pan's profile →
Citations per field
00.5×1.5×
Qingqing Pan · 1×
Citations per year

Countries citing papers authored by Yaping Luo

Since Specialization
Citations

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

Fields of papers citing papers by Yaping Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020156
2 2016140
3 201975
4 202071
5 202069
6 202358
7 201953
8 201851
9 201949
10 202044
11 201439
12 202039
13 202125
14 202023
15 202022
16 201821
17 201817
18 202417
19 201816
20 202114

About Yaping Luo

Yaping Luo is a scholar working on Oncology, Epidemiology, Rheumatology, Neurology and Pathology and Forensic Medicine, having authored 89 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (24 papers), Peptidase Inhibition and Analysis (23 papers), Lymphoma Diagnosis and Treatment (12 papers), IgG4-Related and Inflammatory Diseases (11 papers), Pancreatic and Hepatic Oncology Research (8 papers), Protease and Inhibitor Mechanisms (8 papers), Multiple Myeloma Research and Treatments (7 papers) and Chronic Lymphocytic Leukemia Research (6 papers). The work is most often cited by research in Oncology (726 citations), Cancer Research (209 citations), Rheumatology (152 citations), Epidemiology (316 citations) and Neurology (121 citations). Yaping Luo has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qingqing Pan, Wen Zhang, Xin-xin Cao, Huaxia Yang, Jian Li, Linyi Peng, Fang Li, Fang Li, Fang Li and Wen Zhang. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Journal of Nuclear Medicine, Medicine, Clinical Nuclear Medicine and EJNMMI Research.

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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