J.N. Williams

864 citations
25 papers · 767 · h-index 12

Impact in

Papers in

    • Mitochondrial Function and Pathology 7
    • Coenzyme Q10 studies and effects 2
    • ATP Synthase and ATPases Research 2
    • Peroxisome Proliferator-Activated Receptors 2
    • Metabolism and Genetic Disorders 11

J.N. Williams

25 papers receiving 687 citations

Peers

J.N. Williams
Comparison fields: 5 of 87
  • Clinical Biochemistry 141
  • Cell Biology 155
  • Biochemistry 62
  • Physiology 219
  • Molecular Biology 450
Replace Louise B. Bradley with:
Louise B. Bradley United States
Frank Eisenberg United States
C. K. Ramakrishna Kurup India
K. B. Freeman Canada
JB Chappell United Kingdom
Frank D. Vasington United States
V.T. Maddaiah United States
H.D. Tisdale United States
H.M. Klouwen Netherlands
E. Bachmann United States
J.N. Williams relative to Louise B. Bradley United States Louise B. Bradley's profile →
Citations per field
00.5×1.5×
Louise B. Bradley · 1×
Citations per year

Countries citing papers authored by J.N. Williams

Since Specialization
Citations

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

Fields of papers citing papers by J.N. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside J.N. Williams, 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 J.N. Williams Line = papers co-authored together J.N. Williams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1964355
2 196268
3 196859
4 196140
5 196940
6 196525
7 196120
8 196620
9 196614
10 197014
11 196412
12 196311
13 195311
14 196510
15 19669
16 19689
17 19658
18 19518
19 19637
20 19596

About J.N. Williams

J.N. Williams is a scholar working on Molecular Biology, Clinical Biochemistry, Cell Biology, Physiology and Biochemistry, having authored 25 papers that have together received 767 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (11 papers), Muscle metabolism and nutrition (7 papers), Mitochondrial Function and Pathology (7 papers), Diet and metabolism studies (5 papers), Coenzyme Q10 studies and effects (2 papers), ATP Synthase and ATPases Research (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Vitamin K Research Studies (2 papers). The work is most often cited by research in Clinical Biochemistry (141 citations), Cell Biology (155 citations), Biochemistry (62 citations), Physiology (219 citations) and Molecular Biology (450 citations). J.N. Williams has collaborated with scholars based in United States and Poland. Frequent co-authors include Carl E. Anderson, Ruth Jacobs, A. Sreenivasan, G. L. Laqueur, Harald Prydz, Lars Ericson, C. A. Elvehjem and Claude A. Piantadosi. Their work appears in journals such as Journal of Nutrition, Experimental Biology and Medicine, Archives of Biochemistry and Biophysics, Biochimica et Biophysica Acta (BBA) - Bioenergetics and Journal of Lipid Research.

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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