Aatik Arsh

42 papers receiving 289 citations

Peers

Aatik Arsh
Comparison fields: 5 of 68
  • Rehabilitation 44
  • Medical Laboratory Technology 7
  • Physical Therapy, Sports Therapy and Rehabilitation 17
  • Pathology and Forensic Medicine 45
  • Occupational Therapy 9
Replace Mohammad Abu Shaphe with:
Mohammad Abu Shaphe Saudi Arabia
Haider Darain Pakistan
Francisco Javier Soto-Rodríguez Chile
Junji Katsuhira Japan
İbrahim Engin Şimşek Türkiye
Chul‐Hyun Kim South Korea
Jhb Geertzen Netherlands
Ayman K. Saleh Saudi Arabia
Olivia Galea Australia
Witness Mudzi South Africa
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Citations per year

Countries citing papers authored by Aatik Arsh

Since Specialization
Citations

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

Fields of papers citing papers by Aatik Arsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202323
2 201918
3
A randomized control trial comparing the effects of motor relearning programme and mirror therapy for improving upper limb motor functions in stroke patients.
201917
4 201917
5 201916
6 202116
7 201816
8 202314
9 201712
10 201811
11 202210
12 20219
13 20218
14 20218
15 20208
16
Epidemiology and prevalence of deep venous thrombosis in patients with spinal cord injury
20167
17 20197
18
Prevelacne of pressure ulcers in patients with spinal cord injury; a retrospective study
20126
19 20206
20 20196

About Aatik Arsh

Aatik Arsh is a scholar working on Pathology and Forensic Medicine, Psychiatry and Mental health, Surgery, Pharmacology and Social Psychology, having authored 47 papers that have together received 297 indexed citations. Recurring topics across this work include Spinal Cord Injury Research (9 papers), Stroke Rehabilitation and Recovery (4 papers), Cerebral Palsy and Movement Disorders (4 papers), Musculoskeletal pain and rehabilitation (4 papers), Myofascial pain diagnosis and treatment (3 papers), Shoulder Injury and Treatment (2 papers), Diabetes Management and Education (2 papers) and Mental Health Treatment and Access (2 papers). The work is most often cited by research in Rehabilitation (44 citations), Medical Laboratory Technology (7 citations), Physical Therapy, Sports Therapy and Rehabilitation (17 citations), Pathology and Forensic Medicine (45 citations) and Occupational Therapy (9 citations). Aatik Arsh has collaborated with scholars based in Pakistan, Switzerland and United Kingdom. Frequent co-authors include Haider Darain, Amir Zeb, Irfan Ullah, Najma Siddiqi, Saima Afaq, Mujeeb Ur Rahman, Claire Carswell, Muhammad Sarfaraz Iqbal, Hannah Maria Jennings and Ijaz Ul Haq. Their work appears in journals such as Pakistan Journal of Medical Sciences, International Journal of Environmental Research and Public Health, Assistive Technology, Mental health and physical activity and Journal of Affective Disorders.

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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