Rupert Major

5.8k citations
32 papers · 868 · h-index 13

Impact in

Papers in

Rupert Major

29 papers receiving 847 citations

Peers

Rupert Major
Comparison fields: 5 of 108
  • Nephrology 431
  • Modeling and Simulation 34
  • Hematology 72
  • Transplantation 17
  • Cardiology and Cardiovascular Medicine 140
Replace Adrian Liew with:
Adrian Liew Singapore
Indra R. Gupta Canada
Rosita Zakeri United Kingdom
Guo-Wei Tu China
Laura Cortés–Sanabria Mexico
Kyung Don Yoo South Korea
Matthew Hathcock United States
Yejin Mok United States
Nadia Rubis Italy
Uffe Heide‐Jørgensen Denmark
Rupert Major relative to Adrian Liew Singapore Adrian Liew's profile →
Citations per field
00.5×4.9×
Adrian Liew · 1×
Citations per year

Countries citing papers authored by Rupert Major

Since Specialization
Citations

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

Fields of papers citing papers by Rupert Major

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018164
2 2019161
3 2020102
4 201982
5 201059
6 201953
7 201551
8 202025
9 201625
10 201920
11 202117
12 201917
13 202012
14 202111
15 202210
16 20208
17 20228
18 20165
19 20145
20 20235

About Rupert Major

Rupert Major is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine, Surgery, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 868 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (13 papers), Dialysis and Renal Disease Management (11 papers), Blood Pressure and Hypertension Studies (7 papers), Antiplatelet Therapy and Cardiovascular Diseases (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Diabetes Treatment and Management (3 papers), Lipoproteins and Cardiovascular Health (3 papers) and Nutrition and Health in Aging (3 papers). The work is most often cited by research in Nephrology (431 citations), Modeling and Simulation (34 citations), Hematology (72 citations), Transplantation (17 citations) and Cardiology and Cardiovascular Medicine (140 citations). Rupert Major has collaborated with scholars based in United Kingdom, Australia and Canada. Frequent co-authors include Nigel J. Brunskill, Laura J. Gray, Gang Xu, Saran Shantikumar, Robert A. Grant, David Shepherd, Simon J. Girling, Adrian Boyle, James Medcalf and Gang Xu. Their work appears in journals such as Nephrology Dialysis Transplantation, Clinical Journal of the American Society of Nephrology, European Journal of Preventive Cardiology, ˜The œNephron journals/Nephron journals and 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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