Lu Ding

114 papers receiving 2.2k citations

Hit Papers

Genetic association of lipids and lipid-lowering drug target genes with non-alcoholic fatty liver disease 2023 · 66 citations
660+1+2Years since publication204060

Peers

Lu Ding
Comparison fields: 5 of 125
  • Reproductive Medicine 402
  • Biological Psychiatry 73
  • Cancer Research 301
  • Neurology 140
  • Physiology 68
Replace Carmen Clapp with:
Carmen Clapp Mexico
Li Sun United States
Keitaro Yamanouchi Japan
G. Properzi Italy
Gonzalo Martı́nez de la Escalera Mexico
Shuai Li China
Jameel Iqbal United States
Yang Chen China
Miao Sun China
Lu Ding relative to Carmen Clapp Mexico Carmen Clapp's profile →
Citations per field
00.5×1.5×2.2×
Carmen Clapp · 1×
Citations per year

Countries citing papers authored by Lu Ding

Since Specialization
Citations

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

Fields of papers citing papers by Lu Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202188
2 201777
3 201376
4 201971
5
Genetic association of lipids and lipid-lowering drug target genes with non-alcoholic fatty liver disease
Hit paper breakdown →
202366
6 202166
7 202166
8 201762
9 201962
10 202059
11 202355
12 202151
13 201850
14 201847
15 202046
16 201845
17 202043
18 201442
19 201940
20 201435

About Lu Ding

Lu Ding is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Surgery, Immunology and Cancer Research, having authored 121 papers that have together received 2.2k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (16 papers), Sperm and Testicular Function (13 papers), Adenosine and Purinergic Signaling (9 papers), Cancer-related molecular mechanisms research (9 papers), Circular RNAs in diseases (8 papers), MicroRNA in disease regulation (8 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). The work is most often cited by research in Reproductive Medicine (402 citations), Biological Psychiatry (73 citations), Cancer Research (301 citations), Neurology (140 citations) and Physiology (68 citations). Lu Ding has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Libin Mei, Xiaohuan Xia, Jialin Zheng, Yanwei Sha, Zhiyong Ji, Yan-Wei Sha, Xin Qi, Yuhang Gao, Yi Wang and Xiaonan Xu. Their work appears in journals such as Clinical Genetics, Oncotarget, PLoS ONE, Clinical and Experimental Rheumatology and ACS Biomaterials Science & Engineering.

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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