F H Faas

531 citations
22 papers · 461 · h-index 13

Impact in

Papers in

F H Faas

22 papers receiving 445 citations

Peers

F H Faas
Comparison fields: 5 of 60
  • Biochemistry 91
  • Endocrinology, Diabetes and Metabolism 185
  • Nutrition and Dietetics 146
  • Clinical Biochemistry 38
  • Physiology 115
Replace Carlos Soler‐Argilaga with:
Carlos Soler‐Argilaga United States
Erela Gorin Israel
David E. Haft United States
Edmond E. Griffin United States
Einar Lystad Norway
Haifa Hallaq United States
George Fukayama United States
Tomomi Ishihara Japan
Ryouta Maeba Japan
Priscilla I. Spach United States
F H Faas relative to Carlos Soler‐Argilaga United States Carlos Soler‐Argilaga's profile →
Citations per field
00.5×
Carlos Soler‐Argilaga · 1×
Citations per year

Countries citing papers authored by F H Faas

Since Specialization
Citations

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

Fields of papers citing papers by F H Faas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F H Faas. 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 F H Faas. The network helps show where F H Faas may publish in the future.

Co-authors

The 20 scholars most cited alongside F H Faas, 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 F H Faas Line = papers co-authored together F H Faas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198262
2 198945
3 198145
4 197944
5 198840
6 197536
7 198135
8 198831
9 198230
10 200314
11 197513
12 198513
13 198012
14 198410
15 19926
16 19846
17 19766
18 19874
19 19943
20 19893

About F H Faas

F H Faas is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology, Nutrition and Dietetics and Biochemistry, having authored 22 papers that have together received 461 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (5 papers), Fatty Acid Research and Health (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Metabolism and Genetic Disorders (3 papers), Diet, Metabolism, and Disease (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Lipid metabolism and biosynthesis (2 papers) and Cardiomyopathy and Myosin Studies (2 papers). The work is most often cited by research in Biochemistry (91 citations), Endocrinology, Diabetes and Metabolism (185 citations), Nutrition and Dietetics (146 citations), Clinical Biochemistry (38 citations) and Physiology (115 citations). F H Faas has collaborated with scholars based in United States. Frequent co-authors include Kevin Kemp, M J Elders, David H. P. Streeten, Theodore G. Dalakos, Mary L. Voorhess, Joseph Norman, James Wynn, William Carter, Jonathan White and Donald E. Johnson. Their work appears in journals such as Biochemical Journal, Hormone and Metabolic Research, Metabolism, Prostaglandins Leukotrienes and Essential Fatty Acids 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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