MT Azmi

2.4k citations
5 papers · 122 · h-index 4

Impact in

Papers in

MT Azmi

4 papers receiving 113 citations

Peers

MT Azmi
Comparison fields: 5 of 49
  • Social Psychology 60
  • Clinical Psychology 40
  • Rheumatology 27
  • General Health Professions 40
  • Immunology 27
Replace Iris Tatjana Calliess with:
Iris Tatjana Calliess Germany
Kirsten Geraedts Switzerland
Filip Mustač Croatia
Jonathan Groot Denmark
Susan Kellogg Spadt United States
Stephanie von Orelli Switzerland
Ana Júlia Pantoja de Moraes Brazil
Rebecca Falik United States
Felix Haeberlin Switzerland
Claire Marshall United Kingdom
MT Azmi relative to Iris Tatjana Calliess Germany Iris Tatjana Calliess's profile →
Citations per field
00.5×3.9×
Iris Tatjana Calliess · 1×
Citations per year

Countries citing papers authored by MT Azmi

Since Specialization
Citations

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

Fields of papers citing papers by MT Azmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside MT Azmi, 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 MT Azmi Line = papers co-authored together MT Azmi links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 200573
2 201132
3
A tale of two construct validation analysis: Rasch model and exploratory factor analysis approach for Three-Factor Eating Questionnaire (TFEQ-R21) among Malaysian male workers.
201513
4
RETROSPECTIVE STUDY OF PREDICTORS FOR FOOT ULCERATION AMONG DIABETIC PATIENTS ATTENDING KUALA LANGAT HEALTH CENTRE FROM 1999 TO 2008
20094
5
Factors that influence albuminuria among type 2 diabetes mellitus at primary healthcare clinics in Negeri Sembilan 2007.
20100

About MT Azmi

MT Azmi is a scholar working on Social Psychology, Epidemiology, Endocrinology, Diabetes and Metabolism, Occupational Therapy and Cardiology and Cardiovascular Medicine, having authored 5 papers that have together received 122 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (1 paper), Psychological Well-being and Life Satisfaction (1 paper), Family Caregiving in Mental Illness (1 paper), Behavioral Health and Interventions (1 paper), Child and Adolescent Psychosocial and Emotional Development (1 paper), Mental Health Treatment and Access (1 paper), Systemic Lupus Erythematosus Research (1 paper) and Diabetic Foot Ulcer Assessment and Management (1 paper). The work is most often cited by research in Social Psychology (60 citations), Clinical Psychology (40 citations), Rheumatology (27 citations), General Health Professions (40 citations) and Immunology (27 citations). MT Azmi has collaborated with scholars based in Malaysia and Australia. Frequent co-authors include T. Maniam, Norella Kong, Rosnah Ismail and Noor Hassim Ismail. Their work appears in journals such as Lupus, Annals of the Academy of Medicine Singapore and PubMed.

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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