Min-Xin Fu

2.5k citations
12 papers · 2.1k indexed · 1 hit paper · h-index 12

Min-Xin Fu

12 papers receiving 2.1k citations

Hit Papers

The Advanced Glycation End Product, N∊-(Carboxymethyl)lys...6861996202620062016200400600

Peers

Min-Xin Fu
Comparison fields: 5 of 105
  • Clinical Biochemistry 1.3k
  • Endocrinology, Diabetes and Metabolism 746
  • Biochemistry 215
  • Aging 36
  • Nephrology 137
Replace Mahtab U. Ahmed with:
Mahtab U. Ahmed United States
D G Dyer United States
S R Thorpe United States
Harjit S. Minhas United Kingdom
Xue Du China
Naila Ahmed United Kingdom
Chan‐Sik Kim South Korea
K Nowotny Germany
N. Karachalias United Kingdom
Stephen S.M. Chung Hong Kong
Min-Xin Fu relative to Mahtab U. Ahmed United States Mahtab U. Ahmed's profile →
Citations per field
00.5×1.5×
Mahtab U. Ahmed · 1×
Citations per year

Countries citing papers authored by Min-Xin Fu

Since Specialization
Citations

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

Fields of papers citing papers by Min-Xin Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min-Xin Fu. 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 Min-Xin Fu. The network helps show where Min-Xin Fu may publish in the future.

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1 200917
2 2000236
3 199912
4 199931
5 1998128
6 199862
7 1996213
8
The Advanced Glycation End Product, N∊-(Carboxymethyl)lysine, Is a Product of both Lipid Peroxidation and Glycoxidation Reactionsbreakdown →
1996686
9 1995100
10 1994396
11 1994106
12 1992127

About Min-Xin Fu

Min-Xin Fu is a scholar working on Clinical Biochemistry, Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 12 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Glycation End Products research (10 papers), Biochemical effects in animals (3 papers), Natural Antidiabetic Agents Studies (3 papers), Phytochemicals and Antioxidant Activities (2 papers), Antioxidant Activity and Oxidative Stress (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Aldose Reductase and Taurine (1 paper) and Paraoxonase enzyme and polymorphisms (1 paper). The work is most often cited by research in Clinical Biochemistry (1.3k citations), Endocrinology, Diabetes and Metabolism (746 citations) and Biochemistry (215 citations). Min-Xin Fu has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Suzanne R. Thorpe, John Baynes, Timothy J. Lyons, Alicia J. Jenkins, Jesús R. Requena, James A. Blackledge, Kevin J. Wells‐Knecht, S R Thorpe, Mushtaq Ahmed and Anne L. Peters. Their work appears in journals such as Diabetes, The Journals of Gerontology Series A, Current Eye Research, Kidney International and Journal of Biological Chemistry.

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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