Can Bruce

42 papers receiving 3.2k citations

Can Bruce's Hit Papers

Increased coronary heart disease in Japanese-American men with mutation in the cholesteryl ester transfer protein gene despite increased HDL levels. 1996 · 492 citations
4920+10+20Years since publication100200300400

Peers

Can Bruce
Comparison fields: 5 of 133
  • Endocrinology, Diabetes and Metabolism 965
  • Cancer Research 487
  • Surgery 1.3k
  • Clinical Biochemistry 135
  • Molecular Biology 1.4k
Replace Geeta Datta with:
Geeta Datta United States
Lawrence P. Aggerbeck France
Nassrin Dashti United States
Carol C. Shoulders United Kingdom
K L Luskey United States
Hueng-Sik Choi South Korea
Kunihisa Kobayashi Japan
G S Tint United States
Bandana Chatterjee United States
Yasushi Kaburagi Japan
Can Bruce relative to Geeta Datta United States Geeta Datta's profile →
Citations per field
00.5×1.7×
Geeta Datta · 1×
Citations per year

Countries citing papers authored by Can Bruce

Since Specialization
Citations

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

Fields of papers citing papers by Can Bruce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Increased coronary heart disease in Japanese-American men with mutation in the cholesteryl ester transfer protein gene despite increased HDL levels.
Hit paper breakdown →
1996492
2 2007456
3 1999326
4 1998228
5 1999186
6 1996162
7 1998125
8 199594
9 200094
10 200987
11 201383
12 199881
13 198679
14 201276
15 199472
16 199570
17 201264
18 201058
19 200456
20 201153

About Can Bruce

Can Bruce is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Genetics and Oncology, having authored 43 papers that have together received 3.3k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Cholesterol and Lipid Metabolism (5 papers), Advanced Proteomics Techniques and Applications (4 papers), Animal Genetics and Reproduction (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Cancer, Lipids, and Metabolism (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (965 citations), Cancer Research (487 citations), Surgery (1.3k citations), Clinical Biochemistry (135 citations) and Molecular Biology (1.4k citations). Can Bruce has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include Alan R. Tall, Xian‐Cheng Jiang, Shaobin Zhong, John Grove, Katsuhiko Yano, D. S. Sharp, J. David Curb, Jan L. Breslow, Omar L. Francone and Min Lin. Their work appears in journals such as Journal of Lipid Research, Journal of Clinical Investigation, Journal of Biological Chemistry, Journal of Clinical Oncology and Translational Psychiatry.

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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