Kangmo Lu

26 papers receiving 2.1k citations

Kangmo Lu's Hit Papers

Identification of a gene, ABCG5, important in the regulation of dietary cholesterol absorption 2001 · 588 citations
5880+8+16Years since publication100200300400500

Peers

Kangmo Lu
Comparison fields: 5 of 67
  • Clinical Biochemistry 134
  • Surgery 1.1k
  • Ophthalmology 133
  • Oncology 275
  • Nephrology 76
Replace Eizō Kaneko with:
Eizō Kaneko Japan
Tetsuto Kanzaki Japan
Toshimori Inaba Japan
Vincenza Cifarelli United States
Anny Mulya United States
Midori Awazu Japan
Nadine Baroukh France
Tohru Ohama Japan
Masahiro Sugano Japan
Gemma Pujadas Spain
Kangmo Lu relative to Eizō Kaneko Japan Eizō Kaneko's profile →
Citations per field
00.5×2×4×5.8×
Eizō Kaneko · 1×
Citations per year

Countries citing papers authored by Kangmo Lu

Since Specialization
Citations

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

Fields of papers citing papers by Kangmo Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Identification of a gene, ABCG5, important in the regulation of dietary cholesterol absorption
Hit paper breakdown →
2001588
2 2001298
3 2001157
4 2005137
5 2004123
6 2001106
7 200796
8 200579
9 199877
10 201063
11 200961
12 200659
13 200258
14 199937
15 200536
16 199833
17 200333
18 200129
19 201423
20 200520

About Kangmo Lu

Kangmo Lu is a scholar working on Clinical Biochemistry, Ophthalmology, Surgery, Genetics and Nephrology, having authored 26 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (9 papers), Metabolism and Genetic Disorders (6 papers), Retinal Diseases and Treatments (4 papers), Genomic variations and chromosomal abnormalities (3 papers), Genetic Associations and Epidemiology (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Cardiac Ischemia and Reperfusion (1 paper) and Blood Pressure and Hypertension Studies (1 paper). The work is most often cited by research in Clinical Biochemistry (134 citations), Surgery (1.1k citations), Ophthalmology (133 citations), Oncology (275 citations) and Nephrology (76 citations). Kangmo Lu has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Mi‐Hye Lee, Shailendra B. Patel, Jian‐xing Ma, Hideki Hidaka, Hideto Kojima, Anand K. Srivastava, Michael C. Dean, Hongwei Yu, Gerald Salen and Rosemary J. Pegoraro. Their work appears in journals such as Biochemical and Biophysical Research Communications, Investigative Ophthalmology & Visual Science, European Journal of Human Genetics, Journal of Molecular Diagnostics and PLoS ONE.

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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