Lu Cheng

80 papers receiving 2.3k citations

Lu Cheng's Hit Papers

Hierarchical and Spatially Explicit Clustering of DNA Sequences with BAPS Software 2013 · 492 citations
4920+4+8Years since publication100200300400

Peers

Lu Cheng
Comparison fields: 5 of 139
  • Endocrinology 85
  • Molecular Medicine 127
  • Genetics 298
  • Clinical Biochemistry 48
  • Ophthalmology 97
Replace James P. Pearson with:
James P. Pearson United States
Christopher D. Sibley Canada
Lutz Wiehlmann Germany
Xiaoping Zhu United States
Ashraful Haque Australia
Osamu Matsushita Japan
Tsute Chen United States
Christoph Schaudinn Germany
Barbara Spellerberg Germany
Annette Moter Germany
Lu Cheng relative to James P. Pearson United States James P. Pearson's profile →
Citations per field
00.5×2×4×6.9×
James P. Pearson · 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 86 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 →
2013492
2 2014296
3 2014123
4 2014113
5 202192
6 202188
7 201983
8 201664
9 200254
10 201352
11 201648
12 201242
13 202139
14 200638
15 201437
16 201235
17 201231
18 202331
19 202030
20 200427

About Lu Cheng

Lu Cheng is a scholar working on Ophthalmology, Pathology and Forensic Medicine, Genetics, Hematology and Molecular Biology, having authored 86 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Retinal Diseases and Treatments (3 papers), Multiple Myeloma Research and Treatments (3 papers), melanin and skin pigmentation (3 papers), Ophthalmology and Eye Disorders (3 papers), Plant-Microbe Interactions and Immunity (2 papers), Insect Resistance and Genetics (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Endocrinology (85 citations), Molecular Medicine (127 citations), Genetics (298 citations), Clinical Biochemistry (48 citations) and Ophthalmology (97 citations). Lu Cheng has collaborated with scholars based in China, Finland and United States. Frequent co-authors include Jukka Corander, David M. Aanensen, Thomas R. Connor, Jukka Sirén, Pekka Marttinen, Julian Parkhill, Stephen D. Bentley, Wei Xu, Zong-Mu Dong and Simon R. Harris. Their work appears in journals such as Scientific Reports, Ecotoxicology and Environmental Safety, Nature Communications, Journal of Food Science and Frontiers in Pharmacology.

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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