Sayed K. Ali

37 papers receiving 284 citations

Peers

Sayed K. Ali
Comparison fields: 5 of 92
  • Family Practice 8
  • Health 20
  • Clinical Psychology 50
  • Modeling and Simulation 11
  • Analytical Chemistry 23
Replace Juan S. Izquierdo‐Condoy with:
Juan S. Izquierdo‐Condoy Ecuador
Casey N. Pinto United States
Natchaporn Pichainarong Thailand
Nicola Davies United Kingdom
Wisit Chaveepojnkamjorn Thailand
C L Bhusal Nepal
Jessica Hanae Zafra‐Tanaka Peru
Souha Bougatef Tunisia
Nuwadatta Subedi Nepal
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Sayed K. Ali relative to Juan S. Izquierdo‐Condoy Ecuador Juan S. Izquierdo‐Condoy's profile →
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Juan S. Izquierdo‐Condoy · 1×
Citations per year

Countries citing papers authored by Sayed K. Ali

Since Specialization
Citations

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

Fields of papers citing papers by Sayed K. Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sayed K. Ali. 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 Sayed K. Ali. The network helps show where Sayed K. Ali may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202146
2 201329
3 202225
4 200724
5 202121
6 201713
7
Beyond the bull's eye: Recognizing Lyme disease.
201612
8 201712
9 200910
10 198410
11 20219
12 20238
13 20178
14 20167
15 20187
16 20226
17 20206
18 20175
19 20195
20 20254

About Sayed K. Ali

Sayed K. Ali is a scholar working on Infectious Diseases, Surgery, Public Health, Environmental and Occupational Health, Clinical Psychology and Sociology and Political Science, having authored 44 papers that have together received 297 indexed citations. Recurring topics across this work include Palliative Care and End-of-Life Issues (4 papers), COVID-19 and Mental Health (3 papers), Cancer Diagnosis and Treatment (2 papers), Electronic Health Records Systems (2 papers), COVID-19 Clinical Research Studies (2 papers), Healthcare professionals’ stress and burnout (2 papers), Metastasis and carcinoma case studies (2 papers) and Health and Well-being Studies (1 paper). The work is most often cited by research in Family Practice (8 citations), Health (20 citations), Clinical Psychology (50 citations), Modeling and Simulation (11 citations) and Analytical Chemistry (23 citations). Sayed K. Ali has collaborated with scholars based in Kenya, United States and Pakistan. Frequent co-authors include Jasmit Shah, Zohray Talib, Daniel E. Banks, Ishak A. Mansi, Aliza Monroe‐Wise, Steven Nguyen, Michael J. Morris, Reena Shah, Khatija Ahmed and Arun Rajasekaran. Their work appears in journals such as PLoS ONE, Journal of Pain and Symptom Management, CHEST Journal, Palliative & Supportive Care and Behavioral Medicine.

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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