Alan Parrish

4.6k citations
83 papers · 3.4k indexed · 1 hit paper · h-index 30

Impact in

Papers in

Alan Parrish

81 papers receiving 3.4k citations

Hit Papers

Insulin resistance, cardiovascular stiffening and cardiovascular disease 2021 · 552 citations
5522021202620222024100200300400500

Peers

Alan Parrish
Comparison fields: 5 of 152
  • Nephrology 414
  • Polymers and Plastics 345
  • Endocrinology, Diabetes and Metabolism 404
  • Cancer Research 330
  • Pharmacology 167
Replace Kyung Soo Ko with:
Kyung Soo Ko South Korea
Chia‐Jung Li Taiwan
Aldo Paolicchi Italy
Zhe Feng China
Cezary Watała Poland
Rongshan Li China
Liming Chen China
Toshio Hayashi Japan
Yanming Chen China
Ying Wan China
Alan Parrish relative to Kyung Soo Ko South Korea Kyung Soo Ko's profile →
Citations per field
00.5×4.3×
Kyung Soo Ko · 1×
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
#Work
1 202211
2 20206
3 201737
4 20163
5 201432
6 201226
7 201144
8 201134
9 201113
10 201134
11 2006318
12 200228
13 200220
14 20017
15 199944
16 19991
17 199837
18 199726
19 199521
20 199140

About Alan Parrish

Alan Parrish is a scholar working on Nephrology, Health, Toxicology and Mutagenesis, Cancer Research, Emergency Medical Services and Molecular Biology, having authored 83 papers that have together received 3.4k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (10 papers), Renal and related cancers (10 papers), Chronic Kidney Disease and Diabetes (7 papers), Toxic Organic Pollutants Impact (7 papers), Carcinogens and Genotoxicity Assessment (6 papers), RNA Interference and Gene Delivery (5 papers), Dialysis and Renal Disease Management (5 papers) and Protease and Inhibitor Mechanisms (5 papers). The work is most often cited by research in Nephrology (414 citations), Polymers and Plastics (345 citations), Endocrinology, Diabetes and Metabolism (404 citations), Cancer Research (330 citations) and Pharmacology (167 citations). Alan Parrish has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Eric E. Simanek, Jeffrey M. Catania, Michael F. Neerman, A. Jay Gandolfi, James R. Sowers, Michael A. Hill, Zhe Sun, Klaus Brendel, Guanghong Jia and Ping Zhang. Their work appears in journals such as American Journal of Physiology-Renal Physiology, American Journal of Nephrology, Toxicology and Applied Pharmacology, Toxicology in Vitro 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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