Robert P. Noble

3.0k citations
15 papers · 2.0k · 1 hit paper · h-index 9

Impact in

Papers in

Robert P. Noble

14 papers receiving 1.7k citations

Robert P. Noble's Hit Papers

Electrophoretic separation of plasma lipoproteins in agarose gel 1968 · 1.2k citations
1.2k0+19+38Years since publication4008001.2k

Peers

Robert P. Noble
Comparison fields: 5 of 99
  • Endocrinology, Diabetes and Metabolism 705
  • Biochemistry 182
  • Cancer Research 395
  • Surgery 891
  • Nutrition and Dietetics 280
Replace B Jacotot with:
B Jacotot France
Y S Chao United States
Peter J. Dolphin Canada
T Kuusi Finland
W F Beltz United States
Y Oschry Israel
P Avogaro Italy
Patricia J. Blanche United States
L L Rudel United States
Alfredo Cantàfora Italy
Robert P. Noble relative to B Jacotot France B Jacotot's profile →
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Citations per year

Countries citing papers authored by Robert P. Noble

Since Specialization
Citations

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

Fields of papers citing papers by Robert P. Noble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert P. Noble. 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 Robert P. Noble. The network helps show where Robert P. Noble may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
Electrophoretic separation of plasma lipoproteins in agarose gel
Hit paper breakdown →
19681227
2 1968254
3 1973121
4
Improved accuracy in automated fluorometric determination of plasma triglycerides.
197091
5 196987
6 197075
7 197654
8 197344
9 196610
10 19704
11 19783
12 19732
13
Report of the National Heart and Lung Institute Panel on Hyperlipidemia and Premature Atherosclerosis
19702
14 19771
15 19711

About Robert P. Noble

Robert P. Noble is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Spectroscopy and Cancer Research, having authored 15 papers that have together received 2.0k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Cholesterol and Lipid Metabolism (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Cancer, Lipids, and Metabolism (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Metabolism and Genetic Disorders (2 papers), Lipoproteins and Cardiovascular Health (2 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (705 citations), Biochemistry (182 citations), Cancer Research (395 citations), Surgery (891 citations) and Nutrition and Dietetics (280 citations). Robert P. Noble has collaborated with scholars based in United States. Frequent co-authors include DeWitt S. Goodman, Frank Campbell, Ralph B. Dell, Frank T. Lindgren, L. C. Jensen, Gerald L. Adamson, F.T. Hatch, F. R. Smith, Frank R. Smith and Howard A. Eder. Their work appears in journals such as Journal of Lipid Research, Journal of Clinical Investigation, Clinical Chemistry, Atherosclerosis and Lipids.

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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