Adrian Mondry

1.7k citations
27 papers · 1.2k · h-index 14

Impact in

Papers in

Adrian Mondry

27 papers receiving 1.2k citations

Peers

Adrian Mondry
Comparison fields: 5 of 148
  • Statistics, Probability and Uncertainty 123
  • Developmental Neuroscience 71
  • Nephrology 92
  • Emergency Medicine 91
  • Cardiology and Cardiovascular Medicine 171
Replace Arjun K. Manrai with:
Arjun K. Manrai United States
Marie Loh Singapore
Katherine McGrath Australia
Rajesh Dash United States
Jessica Minnier United States
Dexter Hadley United States
Lisa Bastarache United States
Alain Renault France
Dana M. Grzybicki United States
Erika Graf Germany
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Citations per field
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Citations per year

Countries citing papers authored by Adrian Mondry

Since Specialization
Citations

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

Fields of papers citing papers by Adrian Mondry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008394
2 2005158
3 2005132
4 2005125
5 1996115
6 200347
7 200634
8 200118
9 199517
10 200516
11 200015
12 200415
13 200914
14 200414
15 199513
16 200710
17 201410
18 20058
19 20048
20 20158

About Adrian Mondry

Adrian Mondry is a scholar working on Molecular Biology, Statistics, Probability and Uncertainty, Nephrology, Cardiology and Cardiovascular Medicine and General Health Professions, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (3 papers), Health Sciences Research and Education (3 papers), Renin-Angiotensin System Studies (2 papers), scientometrics and bibliometrics research (2 papers), Parathyroid Disorders and Treatments (2 papers), Hormonal Regulation and Hypertension (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (123 citations), Developmental Neuroscience (71 citations), Nephrology (92 citations), Emergency Medicine (91 citations) and Cardiology and Cardiovascular Medicine (171 citations). Adrian Mondry has collaborated with scholars based in Singapore, Germany and France. Frequent co-authors include Marie Loh, Chris Holmes, Adaikalavan Ramasamy, Douglas G. Altman, Peng Dong, Xiaoxing Liu, Arun V. Krishnan, Mato Nagel, Pengbo Liu and Jean‐Marie Moalic. Their work appears in journals such as BMC Nephrology, American Journal of Kidney Diseases, PLoS Medicine, Journal of Molecular and Cellular Cardiology and Journal of Hypertension.

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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