Luya Cheng

469 citations
29 papers · 319 · h-index 12

Impact in

Papers in

    • Platelet Disorders and Treatments 11
    • T-cell and B-cell Immunology 4
    • Immune Cell Function and Interaction 4

Luya Cheng

25 papers receiving 319 citations

Peers

Luya Cheng
Comparison fields: 5 of 75
  • Hematology 120
  • Surfaces, Coatings and Films 54
  • Immunology 78
  • Immunology and Allergy 22
  • Otorhinolaryngology 11
Replace Jorge A. Di Paola with:
Jorge A. Di Paola United States
Petr Čižmár United States
Hironobu Anbo Japan
Haruyuki Fujita Japan
Ru Xiang China
Kazuya Koyama Japan
Yunjie Wu China
Damien Gheldof Belgium
A.N. Böing Netherlands
Nikolett Marton Hungary
Luya Cheng relative to Jorge A. Di Paola United States Jorge A. Di Paola's profile →
Citations per field
00.5×10×13.5×
Jorge A. Di Paola · 1×
Citations per year

Countries citing papers authored by Luya Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Luya Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202162
2 202039
3 201830
4 202326
5 201924
6 201919
7 201415
8 201915
9 202115
10 202012
11 201912
12 202111
13 20138
14 20236
15 20205
16 20235
17 20244
18 20223
19 20232
20 20221

About Luya Cheng

Luya Cheng is a scholar working on Hematology, Immunology, Oncology, Pathology and Forensic Medicine and Genetics, having authored 29 papers that have together received 319 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (11 papers), Chronic Lymphocytic Leukemia Research (4 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Autoimmune Bullous Skin Diseases (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Hematology (120 citations), Surfaces, Coatings and Films (54 citations), Immunology (78 citations), Immunology and Allergy (22 citations) and Otorhinolaryngology (11 citations). Luya Cheng has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Yunfeng Cheng, Yanxia Zhan, Boting Wu, Lili Ji, Ke Yang, Zhihui Min, Lihua Sun, Fanli Hua, Clarence Augustine TH Tee and Meirong Zhao. Their work appears in journals such as Annals of Hematology, Annals of Translational Medicine, Thrombosis Research, Blood and Cellular and Molecular Immunology.

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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