Saif Ullah

69 papers receiving 628 citations

Peers

Saif Ullah
Comparison fields: 5 of 109
  • Modeling and Simulation 137
  • Numerical Analysis 44
  • Computational Mechanics 144
  • Biomedical Engineering 232
  • Mechanical Engineering 176
Replace Abdul Ghaffar with:
Abdul Ghaffar Pakistan
Mostafa Zahri United Arab Emirates
Muhammad Farooq Pakistan
Abeer M. Alotaibi Saudi Arabia
Vediyappan Govindan India
Naveed Khan Pakistan
Muhammad Ayaz Pakistan
Muhammad Shahzad Pakistan
Abeer S. Alnahdi Saudi Arabia
Arifah Bahar Malaysia
Saif Ullah relative to Abdul Ghaffar Pakistan Abdul Ghaffar's profile →
Citations per field
00.5×1.5×2.4×
Abdul Ghaffar · 1×
Citations per year

Countries citing papers authored by Saif Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Saif Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201665
2 201652
3 201928
4 202126
5
Anticancer activity of Cinnamon tamala leaf constituents towards human ovarian cancer cells.
201525
6 201824
7 202122
8 202022
9 202322
10 202316
11 202415
12 202114
13 201714
14 201713
15 202212
16 202212
17 201912
18 202012
19 201912
20 201811

About Saif Ullah

Saif Ullah is a scholar working on Biomedical Engineering, Computational Mechanics, Mechanical Engineering, Modeling and Simulation and Numerical Analysis, having authored 75 papers that have together received 642 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (20 papers), Fractional Differential Equations Solutions (14 papers), Heat Transfer Mechanisms (11 papers), Fluid Dynamics and Turbulent Flows (11 papers), Rheology and Fluid Dynamics Studies (7 papers), Differential Equations and Numerical Methods (5 papers), Heat Transfer and Optimization (5 papers) and Fluid Dynamics and Vibration Analysis (5 papers). The work is most often cited by research in Modeling and Simulation (137 citations), Numerical Analysis (44 citations), Computational Mechanics (144 citations), Biomedical Engineering (232 citations) and Mechanical Engineering (176 citations). Saif Ullah has collaborated with scholars based in Pakistan, China and Saudi Arabia. Frequent co-authors include Najeeb Alam Khan, Shakeel Mahmood, Amin U. Khan, Nehad Ali Shah, Sarfraz Ali Shad, Rizwan Mustafa Shah, Muhammad Tanveer, Nadeem Alam Khan, Iskander Tlili and Dezhi Yang. Their work appears in journals such as Mathematical Methods in the Applied Sciences, AIP Advances, Journal of Fluids Engineering, Alexandria Engineering Journal and Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering.

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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