Ria Arnold

1.2k citations
41 papers · 881 · h-index 17

Impact in

  • Nephrology top 5%
    • Dialysis and Renal Disease Management
  • Neurology top 10%
    • Botulinum Toxin and Related Neurological Disorders
    • Peripheral Neuropathies and Disorders

Papers in

Ria Arnold

40 papers receiving 872 citations

Peers

Ria Arnold
Comparison fields: 5 of 98
  • Nephrology 133
  • Neurology 124
  • Endocrinology, Diabetes and Metabolism 110
  • Physiology 167
  • Transplantation 16
Replace Olympia Guiba-Tziampiri with:
Olympia Guiba-Tziampiri Greece
Jianzhao Xu United States
Qian Jia China
Antti Muuronen Finland
Ib Steiness Denmark
Matthias Behrends United States
Tobias Wollersheim Germany
Marc D. Thames United States
Mingli He China
Marc S. Weinberg United States
Ria Arnold relative to Olympia Guiba-Tziampiri Greece Olympia Guiba-Tziampiri's profile →
Citations per field
00.5×8.3×
Olympia Guiba-Tziampiri · 1×
Citations per year

Countries citing papers authored by Ria Arnold

Since Specialization
Citations

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

Fields of papers citing papers by Ria Arnold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016160
2 201366
3 201150
4 201747
5 201245
6 201342
7 201638
8 201332
9 201231
10 201331
11 202121
12 201321
13 202219
14 201919
15 202117
16 201716
17 201516
18 201616
19 201415
20 202115

About Ria Arnold

Ria Arnold is a scholar working on Physiology, Nephrology, Neurology, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 41 papers that have together received 881 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (10 papers), Dialysis and Renal Disease Management (8 papers), Neurological and metabolic disorders (5 papers), Potassium and Related Disorders (3 papers), Peripheral Neuropathies and Disorders (3 papers), Electrolyte and hormonal disorders (2 papers), Nerve injury and regeneration (2 papers) and Neurological Complications and Syndromes (2 papers). The work is most often cited by research in Nephrology (133 citations), Neurology (124 citations), Endocrinology, Diabetes and Metabolism (110 citations), Physiology (167 citations) and Transplantation (16 citations). Ria Arnold has collaborated with scholars based in Australia, Italy and Netherlands. Frequent co-authors include Arun V. Krishnan, Bruce A. Pussell, Natalie Kwai, Matthew C. Kiernan, Tushar Issar, Cindy Lin, Ann M. Poynten, Timothy J. Pianta, Stephen R. Lord and Daina L. Sturnieks. Their work appears in journals such as Clinical Neurophysiology, Muscle & Nerve, Diabetes/Metabolism Research and Reviews, Diabetes and Clinical Journal of the American Society of Nephrology.

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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