Zakir Uddin

40 papers receiving 861 citations

Peers

Zakir Uddin
Comparison fields: 5 of 125
  • Pharmacology 149
  • Modeling and Simulation 37
  • Clinical Psychology 159
  • Neurology 80
  • Electrochemistry 32
Replace Mohammed M. Alshehri with:
Mohammed M. Alshehri Saudi Arabia
Jennifer Morris United States
Emily J. Henderson United Kingdom
Thomas Svensson Japan
Mohsen Khosravi Iran
Syed Shahid Habib Saudi Arabia
Alaa M. Hammad Jordan
Rohit Nalamasu United States
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Zakir Uddin relative to Mohammed M. Alshehri Saudi Arabia Mohammed M. Alshehri's profile →
Citations per field
00.5×7.2×
Mohammed M. Alshehri · 1×
Citations per year

Countries citing papers authored by Zakir Uddin

Since Specialization
Citations

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

Fields of papers citing papers by Zakir Uddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020147
2 2016131
3 201975
4 202153
5 202247
6 202145
7 202141
8
In vitro antimicrobial, antioxidant activity and phytochemical screening of Apium graveolens.
201532
9 202128
10 201424
11 202122
12 201919
13 201418
14 202217
15 202116
16 201916
17 202115
18 201315
19 201414
20 201812

About Zakir Uddin

Zakir Uddin is a scholar working on Pharmacology, Physiology, Neurology, Clinical Psychology and Cognitive Neuroscience, having authored 43 papers that have together received 887 indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (15 papers), Pain Mechanisms and Treatments (8 papers), Pain Management and Placebo Effect (4 papers), Product Development and Customization (4 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers), COVID-19 and Mental Health (3 papers), Technology Assessment and Management (3 papers) and Long-Term Effects of COVID-19 (3 papers). The work is most often cited by research in Pharmacology (149 citations), Modeling and Simulation (37 citations), Clinical Psychology (159 citations), Neurology (80 citations) and Electrochemistry (32 citations). Zakir Uddin has collaborated with scholars based in Canada, Bangladesh and United States. Frequent co-authors include Joy C. MacDermid, Mohammad Ali, Matiar M. R. Howlader, Ahmed Hossain, Gurmit Singh, K M Amran Hossain, Jessica Schultz, Mohamed Sakel, Lori Maria Walton and Md. Feroz Kabir. Their work appears in journals such as Heliyon, Journal of physiotherapy, TrAC Trends in Analytical Chemistry, Journal of Orthopaedic and Sports Physical Therapy and Frontiers in Nutrition.

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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