Jasmine Tan

18 papers receiving 421 citations

Peers

Jasmine Tan
Comparison fields: 5 of 107
  • Rheumatology 136
  • Nephrology 40
  • Music 15
  • Developmental and Educational Psychology 48
  • Biochemistry 22
Replace Mahmoud Parvin with:
Mahmoud Parvin Iran
Anjo J.W.M. Janssen Netherlands
Xiaoning Zhang China
Susan Fraser United Kingdom
Gianni Bocca Netherlands
Mario Leone Canada
Caroline Beauregard Canada
Mary‐Ann Bonney Australia
Sharon Travers United States
Yumi Ito Japan
Jasmine Tan relative to Mahmoud Parvin Iran Mahmoud Parvin's profile →
Citations per field
00.5×7.3×
Mahmoud Parvin · 1×
Citations per year

Countries citing papers authored by Jasmine Tan

Since Specialization
Citations

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

Fields of papers citing papers by Jasmine Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2004101
2 200451
3 202249
4 200048
5 200636
6 201733
7 202219
8
A consensus statement on the use of angiotensin receptor blockers and angiotensin converting enzyme inhibitors in relation to COVID-19 (corona virus disease 2019).
202017
9 202211
10 201811
11 202110
12 201310
13 20228
14 20237
15
Intensification of blood pressure treatment in Pasifika people with type 2 diabetes and renal disease: a cohort study in primary care.
20147
16 20147
17 20203
18
Professionalism in medical practice in reference to physician-to-physician relationship in the Singapore context.
20011
19 20250

About Jasmine Tan

Jasmine Tan is a scholar working on Cognitive Neuroscience, Social Psychology, Rheumatology, Developmental and Educational Psychology and Surgery, having authored 19 papers that have together received 429 indexed citations. Recurring topics across this work include Neuroscience and Music Perception (5 papers), Music Therapy and Health (4 papers), Flow Experience in Various Fields (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Hearing Loss and Rehabilitation (2 papers), Renal Diseases and Glomerulopathies (2 papers), Blood Pressure and Hypertension Studies (2 papers) and Anorectal Disease Treatments and Outcomes (2 papers). The work is most often cited by research in Rheumatology (136 citations), Nephrology (40 citations), Music (15 citations), Developmental and Educational Psychology (48 citations) and Biochemistry (22 citations). Jasmine Tan has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include Shawn A. Menefee, Emily S. Lukacz, Charles W. Nager, Curt R. Powell, Eric E. Sabelman, Tim Cundy, Min Hu, Vincent R. Hentz, Joydeep Bhattacharya and Annette Shoba Vincent. Their work appears in journals such as Autism Research, Tissue Engineering, Frontiers in Aging Neuroscience, American Journal of Obstetrics and Gynecology and Frontiers in Psychology.

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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