Alan Parrish

4.7k citations
83 papers · 3.5k · 1 hit paper · h-index 31

Impact in

Papers in

Alan Parrish

81 papers receiving 3.4k citations

Alan Parrish's Hit Papers

Insulin resistance, cardiovascular stiffening and cardiovascular disease 2021 · 617 citations
6170+1+3Years since publication200400600

Peers

Alan Parrish
Comparison fields: 5 of 147
  • Nephrology 368
  • Polymers and Plastics 345
  • Endocrinology, Diabetes and Metabolism 326
  • Cancer Research 286
  • Pharmacology 158
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Yu Ishima Japan
Kenji Okumura Japan
Aldo Paolicchi Italy
Kyung Soo Ko South Korea
Mi-Kyung Kim South Korea
Yanming Chen China
Yoshihisa Okamoto Japan
Chia‐Jung Li Taiwan
Aki Hirayama Japan
Jeffrey S. Isenberg United States
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Citations per field
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Citations per year

Countries citing papers authored by Alan Parrish

Since Specialization
Citations

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

Fields of papers citing papers by Alan Parrish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Insulin resistance, cardiovascular stiffening and cardiovascular disease
Hit paper breakdown →
2021617
2 2006320
3 2004303
4 1995202
5 2008146
6 2004113
7 201499
8 201786
9 200580
10 200477
11 200769
12 199959
13 201349
14 200547
15 201144
16 199944
17 200844
18 200543
19 199140
20 200839

About Alan Parrish

Alan Parrish is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Cancer Research, Nephrology and Pathology and Forensic Medicine, having authored 83 papers that have together received 3.5k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (10 papers), Renal and related cancers (9 papers), Chronic Kidney Disease and Diabetes (6 papers), Toxic Organic Pollutants Impact (6 papers), RNA Interference and Gene Delivery (5 papers), Acute Kidney Injury Research (5 papers), Heavy Metal Exposure and Toxicity (5 papers) and Protease and Inhibitor Mechanisms (5 papers). The work is most often cited by research in Nephrology (368 citations), Polymers and Plastics (345 citations), Endocrinology, Diabetes and Metabolism (326 citations), Cancer Research (286 citations) and Pharmacology (158 citations). Alan Parrish has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Eric E. Simanek, Jeffrey M. Catania, Michael F. Neerman, A. Jay Gandolfi, Zhe Sun, Michael A. Hill, James R. Sowers, Guanghong Jia, Yang Yan and Klaus Brendel. Their work appears in journals such as American Journal of Physiology-Renal Physiology, American Journal of Nephrology, Toxicology and Applied Pharmacology, International Journal of Molecular Sciences and Toxicological Sciences.

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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