Patti A. Quant

1.5k citations
53 papers · 1.2k · h-index 20

Impact in

Papers in

    • Mitochondrial Function and Pathology 14
    • Peroxisome Proliferator-Activated Receptors 13
    • Microbial Metabolic Engineering and Bioproduction 12
    • Plant biochemistry and biosynthesis 6
    • Metabolism and Genetic Disorders 31

Patti A. Quant

51 papers receiving 1.2k citations

Peers

Patti A. Quant
Comparison fields: 5 of 88
  • Biochemistry 436
  • Clinical Biochemistry 323
  • Physiology 271
  • Molecular Biology 753
  • Plant Science 236
Replace Wang Fun Fong with:
Wang Fun Fong Hong Kong
Colleen M. Smith United States
Ryuhei Funabiki Japan
C. M. Caldarera Italy
Takeo Matsuzawa Japan
P. Miljanich United States
Rachel Navet Belgium
W D Reed United States
R.P. McAndrew United States
Dmitry Litvinov Russia
Patti A. Quant relative to Wang Fun Fong Hong Kong Wang Fun Fong's profile →
Citations per field
00.5×5.9×
Wang Fun Fong · 1×
Citations per year

Countries citing papers authored by Patti A. Quant

Since Specialization
Citations

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

Fields of papers citing papers by Patti A. Quant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patti A. Quant. 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 Patti A. Quant. The network helps show where Patti A. Quant may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008169
2 199686
3 199081
4 200271
5 199365
6 198954
7 201449
8 200545
9 199443
10 200139
11 201239
12 199136
13 199836
14 200934
15 199333
16 200232
17 201329
18 200127
19 199626
20 200119

About Patti A. Quant

Patti A. Quant is a scholar working on Molecular Biology, Clinical Biochemistry, Physiology, Biochemistry and Epidemiology, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (31 papers), Diet and metabolism studies (19 papers), Mitochondrial Function and Pathology (14 papers), Lipid metabolism and biosynthesis (13 papers), Peroxisome Proliferator-Activated Receptors (13 papers), Microbial Metabolic Engineering and Bioproduction (12 papers), Plant biochemistry and biosynthesis (6 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Biochemistry (436 citations), Clinical Biochemistry (323 citations), Physiology (271 citations), Molecular Biology (753 citations) and Plant Science (236 citations). Patti A. Quant has collaborated with scholars based in United Kingdom, South Sudan and Greece. Frequent co-authors include John L. Harwood, Martin D. Brand, Umi Salamah Ramli, Philip K. Tubbs, Victor A. Zammit, Lesley Drynan, Simon Eaton, Irina A. Guschina, Joaquı́n J. Salas and Pierre Robin. Their work appears in journals such as Biochemical Society Transactions, Biochemical Journal, European Journal of Biochemistry, Journal of Pediatric Surgery and Biochimica et Biophysica Acta (BBA) - General Subjects.

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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