T. Muhammad

3.5k citations
150 papers · 2.0k indexed · h-index 23

Impact in

Papers in

T. Muhammad

133 papers receiving 2.0k citations

Peers

T. Muhammad
Comparison fields: 5 of 129
  • Neuropsychology and Physiological Psychology 264
  • Health 935
  • Geriatrics and Gerontology 240
  • Demography 236
  • General Health Professions 498
Replace Óscar Ribeiro with:
Óscar Ribeiro Portugal
J. Nazroo United Kingdom
Amanda Sonnega United States
Elizabeth K. Tanner United States
Kalpa Kharicha United Kingdom
Hui‐Chuan Hsu Taiwan
Jennifer C. Cornman United States
Nadia Minicuci Italy
Laurel A. Strain Canada
Rahimah Ibrahim Malaysia
T. Muhammad relative to Óscar Ribeiro Portugal Óscar Ribeiro's profile →
Citations per field
00.5×1.5×1.8×
Óscar Ribeiro · 1×
Citations per year

Countries citing papers authored by T. Muhammad

Since Specialization
Citations

This map shows the geographic impact of T. Muhammad'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 T. Muhammad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Muhammad more than expected).

Fields of papers citing papers by T. Muhammad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20246
3 20240
4 20240
5 202313
6 20234
7 20238
8 20233
9 202310
10 202216
11 202210
12 20224
13 202218
14 202151
15 20214
16 202111
17 202117
18 202148
19 202035
20
Trace, quarantine, test, isolate and treat: a Kerala model of COVID-19 response. (Special Issue: COVID-19 and demographic impact.)
20201

About T. Muhammad

T. Muhammad is a scholar working on Neuropsychology and Physiological Psychology, Health, Geriatrics and Gerontology, Demography and General Health Professions, having authored 150 papers that have together received 2.0k indexed citations. Recurring topics across this work include Health disparities and outcomes (72 papers), Intergenerational Family Dynamics and Caregiving (24 papers), Frailty in Older Adults (19 papers), Aging and Gerontology Research (19 papers), Psychological Well-being and Life Satisfaction (16 papers), Chronic Disease Management Strategies (15 papers), Global Health Care Issues (12 papers) and Nutrition and Health in Aging (10 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (264 citations), Health (935 citations), Geriatrics and Gerontology (240 citations), Demography (236 citations) and General Health Professions (498 citations). T. Muhammad has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Shobhit Srivastava, Trupti Meher, Priya Maurya, T. V. Sekher, Manish Kumar, Pradeep Kumar, Palak Sharma, Preeti Dhillon, Neha Shri and Muhammed Rashid. Their work appears in journals such as Scientific Reports, BMC Public Health, BMC Geriatrics, PLoS ONE and BMC Psychiatry.

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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