Lu Cheng

76 papers receiving 1.7k citations

Lu Cheng's Hit Papers

Hierarchical and Spatially Explicit Clustering of DNA Sequences with BAPS Software 2013 · 428 citations
4280+4+8Years since publication100200300400

Peers

Lu Cheng
Comparison fields: 5 of 154
  • Endocrinology 93
  • Molecular Medicine 73
  • Ophthalmology 91
  • Clinical Biochemistry 68
  • Otorhinolaryngology 38
Replace Xiaoyi Wang with:
Xiaoyi Wang China
Junko Stevens United States
Xiaodong Fang China
Nan Tang China
Ikuo Kobayashi Japan
Li Song China
José Luís Fernández Spain
Yinhu Li China
Erliang Zeng United States
Juan Carlos Silva United States
Lu Cheng relative to Xiaoyi Wang China Xiaoyi Wang's profile →
Citations per field
00.5×4.9×
Xiaoyi Wang · 1×
Citations per year

Countries citing papers authored by Lu Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Lu Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Hierarchical and Spatially Explicit Clustering of DNA Sequences with BAPS Software
Hit paper breakdown →
2013428
2 2014116
3 2014104
4 202186
5 201976
6 200254
7 201648
8 201347
9 201242
10 202139
11 200638
12 201436
13 201234
14 201231
15 202030
16 200427
17 202126
18 201525
19 202325
20 202024

About Lu Cheng

Lu Cheng is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Ophthalmology and Electrical and Electronic Engineering, having authored 83 papers that have together received 1.8k indexed citations. Recurring topics across this work include melanin and skin pigmentation (3 papers), Biosensors and Analytical Detection (3 papers), Plant-Microbe Interactions and Immunity (3 papers), Genetic Associations and Epidemiology (3 papers), Retinal Diseases and Treatments (3 papers), Plant and Fungal Interactions Research (3 papers), Cerebrospinal fluid and hydrocephalus (3 papers) and Head and Neck Cancer Studies (3 papers). The work is most often cited by research in Endocrinology (93 citations), Molecular Medicine (73 citations), Ophthalmology (91 citations), Clinical Biochemistry (68 citations) and Otorhinolaryngology (38 citations). Lu Cheng has collaborated with scholars based in China, Finland and United States. Frequent co-authors include Jukka Corander, Thomas R. Connor, Jukka Sirén, David M. Aanensen, Wei Xu, Cheng Jin, Arjun Sahgal, Shouqiang Ouyang, Xianwen Kan and Xun Xu. Their work appears in journals such as BioMed Research International, Ecotoxicology and Environmental Safety, Scientific Reports, Frontiers in Pharmacology and The Analyst.

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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