Mark E. Williams

11.6k citations
98 papers · 8.7k indexed · 2 hit papers · h-index 42

Mark E. Williams

96 papers receiving 8.3k citations

Hit Papers

Natural Genetic Variation in Lycopene Epsilon Cyclase Tap...55620002026200820172505007501000

Peers

Mark E. Williams
Comparison fields: 5 of 185
  • Nephrology 1.1k
  • Cellular and Molecular Neuroscience 1.8k
  • Geriatrics and Gerontology 345
  • Cardiology and Cardiovascular Medicine 1.6k
  • Endocrinology, Diabetes and Metabolism 1.2k
Replace Achille P. Caputi with:
Achille P. Caputi Italy
Eiichi Araki Japan
Gérard Waeber Switzerland
Felipe Dal‐Pizzol Brazil
Umberto Senin Italy
Takanari Kitazono Japan
Katsuyuki Miura Japan
Joseph Francis United States
Marjorie L. McCullough United States
Luc Djoussé United States
Mark E. Williams relative to Achille P. Caputi Italy Achille P. Caputi's profile →
Citations per field
00.5×2.5×
Achille P. Caputi · 1×
Citations per year

Countries citing papers authored by Mark E. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Mark E. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20226
2 202027
3 201465
4 201323
5 20131
6 200971
7
Natural Genetic Variation in Lycopene Epsilon Cyclase Tapped for Maize Biofortificationbreakdown →
2008556
8 200843
9 200811
10 200584
11 2004116
12 2004366
13 200440
14 20029
15 200048
16 19988
17 199819
18 19987
19 19939
20 199237

About Mark E. Williams

Mark E. Williams is a scholar working on Nephrology, Geriatrics and Gerontology and Neuropsychology and Physiological Psychology, having authored 98 papers that have together received 8.7k indexed citations. Recurring topics across this work include Ion channel regulation and function (16 papers), Diabetes Treatment and Management (13 papers), Diabetes Management and Research (11 papers), Chronic Kidney Disease and Diabetes (9 papers), Nicotinic Acetylcholine Receptors Study (8 papers), Frailty in Older Adults (7 papers), Dialysis and Renal Disease Management (6 papers) and Neuroscience and Neuropharmacology Research (6 papers). The work is most often cited by research in Nephrology (1.1k citations), Cellular and Molecular Neuroscience (1.8k citations) and Geriatrics and Gerontology (345 citations). Mark E. Williams has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Michael M. Harpold, S.B. Ellis, Katherine R. Tuttle, Gönül Veliçelebi, Robert D. Toto, George L. Bakris, Willa A. Hsueh, Janice G. Douglas, James R. Sowers and Lance D. Dworkin. Their work appears in journals such as Journal of the American Geriatrics Society, Science, Clinical Journal of the American Society of Nephrology, American Journal of Nephrology and New England Journal of Medicine.

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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