R J Havel

1.6k citations
16 papers · 1.3k indexed · h-index 12
Topics
Cancer, Lipids, and Metabolism (7 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers)Lipid metabolism and disorders (3 papers)
Partner nations
United StatesJapan

In The Last Decade

R J Havel

15 papers receiving 1.2k citations

Peers

R J Havel
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 671
  • Surgery 649
  • Cancer Research 419
  • Molecular Biology 335
  • Cardiology and Cardiovascular Medicine 301
Replace Teizo Sata with:
Teizo Sata Japan
D A Hardman United States
P. Alaupovic United States
Y L Marcel Canada
Barbara Pfleger United States
D. Reichl United Kingdom
Taku Yamamura Japan
L Kotite United States
R Ramakrishnan United States
J B Karlin United States
R J Havel relative to Teizo Sata Japan Teizo Sata's profile →
Citations per field
00.5×
Teizo Sata · 1×
Citations per year

Countries citing papers authored by R J Havel

Since Specialization
Citations

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

Fields of papers citing papers by R J Havel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R J Havel. 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 R J Havel. The network helps show where R J Havel may publish in the future.

Co-authorship network of co-authors of R J Havel

This figure shows the co-authorship network connecting the top 25 collaborators of R J Havel. A scholar is included among the top collaborators of R J Havel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R J Havel. R J Havel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 19
2 1
3 86
4 71
5 6
6 101
7 57
8 158
9 34
10 30
11 109
12 88
13
Lipids and atherosclerosis.
0
14 219
15 343
16
Splanchnic metabolism in healthy young men given clofibrate
5

About R J Havel

R J Havel is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Lipid metabolism and disorders (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (671 citations), Cancer Research (419 citations) and Surgery (649 citations). R J Havel has collaborated with scholars based in United States and Japan. Frequent co-authors include John P. Kane, Robert L. Hamilton, Teizo Sata, L Kotite, Antonio Pagnan, Nancy Phillips, A.F.H. Stalenhoef, Hayley Lund, Ken Takahashi and Jonathan Vigne. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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