Graham Paget

1.8k total citations
53 papers, 1.2k citations indexed

About

Graham Paget is a scholar working on Nephrology, Epidemiology and Hematology. According to data from OpenAlex, Graham Paget has authored 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Nephrology, 6 papers in Epidemiology and 6 papers in Hematology. Recurrent topics in Graham Paget's work include Dialysis and Renal Disease Management (5 papers), Erythropoietin and Anemia Treatment (5 papers) and Iron Metabolism and Disorders (5 papers). Graham Paget is often cited by papers focused on Dialysis and Renal Disease Management (5 papers), Erythropoietin and Anemia Treatment (5 papers) and Iron Metabolism and Disorders (5 papers). Graham Paget collaborates with scholars based in South Africa, United Kingdom and Nigeria. Graham Paget's co-authors include A. L. WALPOLE, E. Weston Hurst, Saraladevi Naicker, P. O. Yates, Diane J. McLaren, J. M. Barnes, J. Davson, J.M. Thorp, June Fabian and Raquel Duarte and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Graham Paget

50 papers receiving 1.0k citations

Peers

Graham Paget
Comparison fields: 5 of 131
  • Molecular Biology 322
  • Epidemiology 138
  • Surgery 120
  • Oncology 101
  • Plant Science 90
Replace S. Sasaki with:
S. Sasaki Japan
Kazuhisa Furuhama Japan
Jeffery A. Engelhardt United States
Yuen Tan China
S. S. Agarwal India
Tomoko Fujita Japan
Leland D. Loose United States
Ying Zhao China
John K. Jenkins United States
Myron A. Holscher United States
S. Sasaki Japan View profile →
Citations per field, relative to Graham Paget
Graham Paget · 1×
Citations per year, relative to Graham Paget
Graham Paget · 1×

Countries citing papers authored by Graham Paget

Since Specialization
Citations

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

Fields of papers citing papers by Graham Paget

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Graham Paget

This figure shows the co-authorship network connecting the top 25 collaborators of Graham Paget. A scholar is included among the top collaborators of Graham Paget 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 Graham Paget. Graham Paget 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 0
2 3
3 7
4 2
5 2
6 0
7 7
8 13
9
Ethnic prevalence of anemia and predictors of anemia among chronic kidney disease patients at a tertiary hospital in Johannesburg, South Africa
3
10 6
11 14
12 14
13 4
14
Uniquely South African: time to consider offering HIV-positive donor kidneys to HIV-infected renal failure patients?
3
15
Peritoneal Dialysis in South Africa- A Single Centre Experience
4
16
Methods in toxicology
185
17 71
18 25
19 14
20 20

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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