Lan Ding

640 citations
27 papers · 482 · h-index 13

Impact in

Papers in

    • Heme Oxygenase-1 and Carbon Monoxide 2
    • RNA Research and Splicing 2
    • Inflammasome and immune disorders 2
    • Genetic and Kidney Cyst Diseases 3
    • Genetics and Neurodevelopmental Disorders 2
    • Estrogen and related hormone effects 2

Lan Ding

24 papers receiving 476 citations

Peers

Lan Ding
Comparison fields: 5 of 82
  • Environmental Chemistry 59
  • Neurology 45
  • Cellular and Molecular Neuroscience 85
  • Molecular Biology 257
  • Genetics 90
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Citations per field
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Citations per year

Countries citing papers authored by Lan Ding

Since Specialization
Citations

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

Fields of papers citing papers by Lan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008130
2 202248
3 201246
4 200536
5 200836
6 200723
7 202023
8 201322
9 202321
10 202118
11
Stroke and Myocardial Infarction: A Bidirectional Mendelian Randomization Study
202114
12 200214
13 202413
14 20139
15 20168
16 20155
17 20245
18
[A Chinese autosomal dominant polycystic kidney disease family probably related to PKD2 gene].
20052
19 20202
20 20212

About Lan Ding

Lan Ding is a scholar working on Molecular Biology, Genetics, Epidemiology, Cellular and Molecular Neuroscience and Rheumatology, having authored 27 papers that have together received 482 indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Arsenic contamination and mitigation (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), RNA Research and Splicing (2 papers), Estrogen and related hormone effects (2 papers) and Inflammasome and immune disorders (2 papers). The work is most often cited by research in Environmental Chemistry (59 citations), Neurology (45 citations), Cellular and Molecular Neuroscience (85 citations), Molecular Biology (257 citations) and Genetics (90 citations). Lan Ding has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ashok N. Hegde, Sudarshan C. Upadhya, Thuy K. Smith, Miroslav Stýblo, Xinjing Liu, Wan Zhang, R. Jesse Saunders, Zuzana Drobná, Jing Liang and Josyf C. Mychaleckyj. Their work appears in journals such as Gene, International Immunopharmacology, Journal of Analytical Atomic Spectrometry, Nephrology Dialysis Transplantation and Plant Molecular Biology Reporter.

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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