Shanil Ebrahim

5.8k citations
58 papers · 2.6k indexed · h-index 27

Impact in

Papers in

Shanil Ebrahim

56 papers receiving 2.5k citations

Peers

Shanil Ebrahim
Comparison fields: 5 of 137
  • Internal Medicine 198
  • Complementary and Manual Therapy 79
  • Statistics, Probability and Uncertainty 243
  • Endocrinology, Diabetes and Metabolism 381
  • Cardiology and Cardiovascular Medicine 457
Replace Dominik Golicki with:
Dominik Golicki Poland
David Wonderling United Kingdom
Maciej Niewada Poland
Pierre Durieux France
Thomas D. Denberg United States
Rosalind Rabin United Kingdom
Kristijan H. Kahler United States
You‐Shan Feng Germany
Ariel Izcovich Argentina
Claire M. Spettell United States
Shanil Ebrahim relative to Dominik Golicki Poland Dominik Golicki's profile →
Citations per field
00.5×8.8×
Dominik Golicki · 1×
Citations per year

Countries citing papers authored by Shanil Ebrahim

Since Specialization
Citations

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

Fields of papers citing papers by Shanil Ebrahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 201913
3 201740
4 201623
5 201595
6 201520
7 201533
8 201545
9 20148
10 201449
11 20142
12 201437
13 20138
14 20132
15 2013127
16 20136
17 20123
18 201228
19 2012198
20 19971

About Shanil Ebrahim

Shanil Ebrahim is a scholar working on Statistics, Probability and Uncertainty, Internal Medicine, Family Practice, Complementary and Manual Therapy and Statistics and Probability, having authored 58 papers that have together received 2.6k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (11 papers), Meta-analysis and systematic reviews (10 papers), Statistical Methods in Clinical Trials (6 papers), Musculoskeletal pain and rehabilitation (5 papers), Healthcare Policy and Management (5 papers), Workplace Health and Well-being (4 papers), Traumatic Brain Injury Research (4 papers) and Venous Thromboembolism Diagnosis and Management (4 papers). The work is most often cited by research in Internal Medicine (198 citations), Complementary and Manual Therapy (79 citations), Statistics, Probability and Uncertainty (243 citations), Endocrinology, Diabetes and Metabolism (381 citations) and Cardiology and Cardiovascular Medicine (457 citations). Shanil Ebrahim has collaborated with scholars based in Canada, United States and Chile. Frequent co-authors include Gordon Guyatt, Jason W. Busse, Elie A. Akl, Bradley C. Johnston, Per Olav Vandvik, Pablo Alonso‐Coello, Zahra Sohani, Xin Sun, Luis Montoya and Stephen D. Walter. Their work appears in journals such as PLoS ONE, Journal of Clinical Epidemiology, BMJ Open, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques and BMJ.

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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