Kangmo Lu

26 papers receiving 2.0k citations

Kangmo Lu's Hit Papers

Identification of a gene, ABCG5, important in the regulation of dietary cholesterol absorption 2001 · 580 citations
5800+8+16Years since publication100200300400500

Peers

Kangmo Lu
Comparison fields: 5 of 89
  • Biochemistry 234
  • Clinical Biochemistry 208
  • Oncology 740
  • Surgery 1.1k
  • Ophthalmology 160
Replace Jaap Twisk with:
Jaap Twisk Netherlands
Ryunosuke Ohkawa Japan
Nobuhiro Ban Japan
Jane McHowat United States
Rangnath Mishra United States
Marek Bodzioch Poland
Antonio E. Rusiñol United States
Steve Bonello Germany
Marie Sanson United States
Kangmo Lu relative to Jaap Twisk Netherlands Jaap Twisk's profile →
Citations per field
00.5×4.7×
Jaap Twisk · 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 →
2001580
2 2001296
3 2001153
4 2005137
5 2004120
6 2001104
7 200797
8 199879
9 200576
10 201060
11 200259
12 200658
13 200957
14 199937
15 200536
16 200333
17 199833
18 200129
19 201422
20 200520

About Kangmo Lu

Kangmo Lu is a scholar working on Molecular Biology, Surgery, Ophthalmology, Clinical Biochemistry and Oncology, having authored 26 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (9 papers), Metabolism and Genetic Disorders (6 papers), Retinal Diseases and Treatments (6 papers), Drug Transport and Resistance Mechanisms (5 papers), Diet and metabolism studies (4 papers), RNA and protein synthesis mechanisms (3 papers), Mitochondrial Function and Pathology (3 papers) and Glaucoma and retinal disorders (2 papers). The work is most often cited by research in Biochemistry (234 citations), Clinical Biochemistry (208 citations), Oncology (740 citations), Surgery (1.1k citations) and Ophthalmology (160 citations). Kangmo Lu has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Mi‐Hye Lee, Shailendra B. Patel, Jian‐xing Ma, Hideki Hidaka, Hideto Kojima, Anand K. Srivastava, Michael Dean, Hongwei Yu, Gerald Salen and Nagahiko SAKUMA. Their work appears in journals such as Biochemical and Biophysical Research Communications, European Journal of Human Genetics, Investigative Ophthalmology & Visual Science, Journal of the American Society of Nephrology and Journal of Molecular and Cellular Cardiology.

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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