Shahrul Mt‐Isa

3.3k citations
52 papers · 1.3k indexed · h-index 19
Topics
Health Systems, Economic Evaluations, Quality of Life (18 papers)Statistical Methods in Clinical Trials (12 papers)Pharmaceutical studies and practices (6 papers)

In The Last Decade

Shahrul Mt‐Isa

47 papers receiving 1.2k citations

Peers

Shahrul Mt‐Isa
Comparison fields: 5 of 114
  • Ophthalmology 347
  • Economics and Econometrics 251
  • Pharmacology 232
  • Radiology, Nuclear Medicine and Imaging 227
  • Public Health, Environmental and Occupational Health 127
Replace Judith U. Cope with:
Judith U. Cope United States
Adam B. Polis United States
Jonathan H. Watanabe United States
Elisa Martín‐Merino Spain
Josep Franch‐Nadal Spain
Mogens Lytken Larsen Denmark
Ellen Murray United Kingdom
James Heyward United States
Marco Proietti Italy
Liliane Zorzela Canada
Shahrul Mt‐Isa relative to Judith U. Cope United States Judith U. Cope's profile →
Citations per field
00.5×9.9×
Judith U. Cope · 1×
Citations per year

Countries citing papers authored by Shahrul Mt‐Isa

Since Specialization
Citations

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

Fields of papers citing papers by Shahrul Mt‐Isa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shahrul Mt‐Isa. 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 Shahrul Mt‐Isa. The network helps show where Shahrul Mt‐Isa may publish in the future.

Co-authorship network of co-authors of Shahrul Mt‐Isa

This figure shows the co-authorship network connecting the top 25 collaborators of Shahrul Mt‐Isa. A scholar is included among the top collaborators of Shahrul Mt‐Isa 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 Shahrul Mt‐Isa. Shahrul Mt‐Isa 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
#WorkIndexed citations
1 0
2 0
3 4
4 1
5 9
6 1
7 5
8 9
9 4
10 11
11 28
12 28
13 13
14 11
15 43
16 21
17 80
18 27
19 31
20 12

About Shahrul Mt‐Isa

Shahrul Mt‐Isa is a scholar working on Statistics and Probability, Economics and Econometrics and Medical Laboratory Technology, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (18 papers), Statistical Methods in Clinical Trials (12 papers) and Pharmaceutical studies and practices (6 papers). The work is most often cited by research in Ophthalmology (347 citations), Geriatrics and Gerontology (54 citations) and Pharmacology (232 citations). Shahrul Mt‐Isa has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Deborah Ashby, Alicja R. Rudnicka, Christopher G. Owen, Derek G. Cook, Martin Underwood, Sarah McDowell, R E Ferner, Esther Williamson, Mark A. Williams and Sarah E Lamb. Their work appears in journals such as The Lancet, Journal of Clinical Oncology and PLoS ONE.

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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