Micheal Ward

1.8k citations
26 papers · 1.2k · h-index 18

Impact in

Papers in

Micheal Ward

26 papers receiving 1.2k citations

Peers

Micheal Ward
Comparison fields: 5 of 139
  • Clinical Biochemistry 389
  • Ophthalmology 243
  • Neurology 129
  • Endocrinology, Diabetes and Metabolism 236
  • Nephrology 94
Replace Sampathkumar Rangasamy with:
Sampathkumar Rangasamy United States
Xiufen Liu China
Peter M. van Hasselt Netherlands
Gillian Douglas United Kingdom
Chi‐Pui Pang Hong Kong
Jian Ma China
Tibor Kovács Hungary
Jie Yin China
Dongli Yang United States
Xiang Ma China
Micheal Ward relative to Sampathkumar Rangasamy United States Sampathkumar Rangasamy's profile →
Citations per field
00.5×2.9×
Sampathkumar Rangasamy · 1×
Citations per year

Countries citing papers authored by Micheal Ward

Since Specialization
Citations

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

Fields of papers citing papers by Micheal Ward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Micheal Ward. 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 Micheal Ward. The network helps show where Micheal Ward may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011190
2 2010161
3 2016126
4 2010111
5 201879
6 201673
7 201561
8 201355
9 201447
10 201447
11 201740
12 200640
13 200231
14 201028
15 201727
16 201426
17 201525
18 201622
19 201813
20 20166

About Micheal Ward

Micheal Ward is a scholar working on Molecular Biology, Clinical Biochemistry, Endocrinology, Diabetes and Metabolism, Physiology and Nephrology, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Glycation End Products research (9 papers), S100 Proteins and Annexins (5 papers), Diabetes Treatment and Management (3 papers), Retinal Diseases and Treatments (3 papers), Mitochondrial Function and Pathology (3 papers), Chronic Kidney Disease and Diabetes (3 papers), Adipose Tissue and Metabolism (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Clinical Biochemistry (389 citations), Ophthalmology (243 citations), Neurology (129 citations), Endocrinology, Diabetes and Metabolism (236 citations) and Nephrology (94 citations). Micheal Ward has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Alan W. Stitt, Hongliang Zong, Angelina F. Madden, Josephine M. Forbes, Amelia K. Fotheringham, Phaik Har Yong, Tim M. Curtis, G. Astrid Limb, Nicole Flemming and Christopher T. Elliott. Their work appears in journals such as Diabetologia, PLoS ONE, Scientific Reports, Molecular Oncology and Current Opinion in Pharmacology.

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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