R G Newall

731 total citations
24 papers, 517 citations indexed

About

R G Newall is a scholar working on Nephrology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, R G Newall has authored 24 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Nephrology, 6 papers in Surgery and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in R G Newall's work include Chronic Kidney Disease and Diabetes (10 papers), Dialysis and Renal Disease Management (10 papers) and Lipoproteins and Cardiovascular Health (4 papers). R G Newall is often cited by papers focused on Chronic Kidney Disease and Diabetes (10 papers), Dialysis and Renal Disease Management (10 papers) and Lipoproteins and Cardiovascular Health (4 papers). R G Newall collaborates with scholars based in United Kingdom, United States and India. R G Newall's co-authors include Christopher P. Price, James C. Boyd, Christopher P. Price, Mark Guy, Philip A. Kalra, B P Bliss, Edmund J. Lamb, Paul E. Stevens, David Newman and M A Preece and has published in prestigious journals such as Annals of Internal Medicine, Diabetes Care and Clinical Chemistry.

In The Last Decade

R G Newall

22 papers receiving 492 citations

Peers

R G Newall
Comparison fields: 5 of 86
  • Nephrology 257
  • Pediatrics, Perinatology and Child Health 90
  • Cardiology and Cardiovascular Medicine 84
  • Obstetrics and Gynecology 59
  • Physiology 59
Replace Watson C. Arnold with:
Watson C. Arnold United States
Johanna Helmersson‐Karlqvist Sweden
Marinus H. de Keijzer Netherlands
Ihab Wahba United States
G. Granérus Sweden
Anke Doyon Germany
Robert C. Kelsch United States
D Hillion France
Gaetano Lucisano Italy
P. Ruggenenti Italy
Watson C. Arnold United States View profile →
Citations per field, relative to R G Newall
R G Newall · 1×
Citations per year, relative to R G Newall
R G Newall · 1×

Countries citing papers authored by R G Newall

Since Specialization
Citations

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

Fields of papers citing papers by R G Newall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R G Newall. 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 R G Newall. The network helps show where R G Newall may publish in the future.

Co-authorship network of co-authors of R G Newall

This figure shows the co-authorship network connecting the top 25 collaborators of R G Newall. A scholar is included among the top collaborators of R G Newall based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R G Newall. R G Newall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 23
2 5
3 30
4 47
5 15
6 30
7 231
8 4
9 9
10 31
11 0
12 7
13 3
14 14
15 1
16 8
17 2
18 11
19 11
20 3

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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