Lu Dai

1.9k citations
68 papers · 1.4k · h-index 23

Impact in

  • Nephrology top 1%
    • Dialysis and Renal Disease Management
    • Parathyroid Disorders and Treatments
    • Chronic Kidney Disease and Diabetes
    • Vitamin K Research Studies

Papers in

    • Parathyroid Disorders and Treatments 10
    • Dialysis and Renal Disease Management 7
    • Chronic Kidney Disease and Diabetes 4
    • Renal and related cancers 4

Lu Dai

61 papers receiving 1.4k citations

Peers

Lu Dai
Comparison fields: 5 of 113
  • Nephrology 407
  • Nutrition and Dietetics 138
  • Pollution 92
  • Aging 13
  • Clinical Biochemistry 42
Replace Luca Zanoli with:
Luca Zanoli Italy
Jianfeng Ye China
Sabbir Khan India
Melanie Tran Australia
Hyun‐Wook Lee United States
Li Zhuo China
Yan Guo China
Omar Emiliano Aparicio‐Trejo Mexico
Yung-Ho Hsu Taiwan
Naoko Nakanishi Japan
Lu Dai relative to Luca Zanoli Italy Luca Zanoli's profile →
Citations per field
00.5×2.8×
Luca Zanoli · 1×
Citations per year

Countries citing papers authored by Lu Dai

Since Specialization
Citations

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

Fields of papers citing papers by Lu Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017130
2 2018116
3 201493
4 202278
5 201973
6 202070
7 201763
8 202058
9 202047
10 202342
11 201236
12 201935
13 202034
14 202433
15 201833
16 202128
17 202227
18 202227
19 201926
20 201925

About Lu Dai

Lu Dai is a scholar working on Nephrology, Molecular Biology, Pulmonary and Respiratory Medicine, Nutrition and Dietetics and Cardiology and Cardiovascular Medicine, having authored 68 papers that have together received 1.4k indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (10 papers), Dialysis and Renal Disease Management (7 papers), Vitamin K Research Studies (6 papers), Chronic Kidney Disease and Diabetes (4 papers), Renal and related cancers (4 papers), Vitamin C and Antioxidants Research (3 papers), Zebrafish Biomedical Research Applications (3 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers). The work is most often cited by research in Nephrology (407 citations), Nutrition and Dietetics (138 citations), Pollution (92 citations), Aging (13 citations) and Clinical Biochemistry (42 citations). Lu Dai has collaborated with scholars based in Sweden, China and United Kingdom. Frequent co-authors include Peter Stenvinkel, Bengt Lindholm, Abdul Rashid Qureshi, Peter Bárány, Olof Heimbürger, Leon J. Schurgers, Edyta Gołembiewska, William S. Trimble, Karen Fung and Paul G. Shiels. Their work appears in journals such as Nephrology Dialysis Transplantation, PLoS ONE, Scientific Reports, Clinical Kidney Journal and European Heart Journal.

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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