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 · 544 citations
5440+8+16Years since publication100200300400500

Peers

Kangmo Lu
Comparison fields: 5 of 88
  • Clinical Biochemistry 191
  • Biochemistry 210
  • Oncology 704
  • Surgery 1.1k
  • Ophthalmology 151
Replace Jaap Twisk with:
Jaap Twisk Netherlands
Ryunosuke Ohkawa Japan
Nobuhiro Ban Japan
Rangnath Mishra United States
Jane McHowat United States
Antonio E. Rusiñol United States
Marie Sanson United States
Marek Bodzioch Poland
Janine K. Kruit Netherlands
Kangmo Lu relative to Jaap Twisk Netherlands Jaap Twisk's profile →
Citations per field
00.5×4.4×
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 →
2001544
2 2001283
3 2001146
4 2005137
5 2004113
6 2001100
7 200792
8 200575
9 199868
10 201060
11 200656
12 200256
13 200941
14 199935
15 200333
16 199833
17 200531
18 200129
19 201422
20 200516

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 2.0k 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 Clinical Biochemistry (191 citations), Biochemistry (210 citations), Oncology (704 citations), Surgery (1.1k citations) and Ophthalmology (151 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, Hideto Kojima, Hideki Hidaka, Michael Dean, Anand K. Srivastava, Hongwei Yu, Gerald Salen and R.J. Pegoraro. Their work appears in journals such as Biochemical and Biophysical Research Communications, European Journal of Human Genetics, Investigative Ophthalmology & Visual Science, BMC Cardiovascular Disorders and Trends in Endocrinology and Metabolism.

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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