Saif Ullah

66 papers receiving 571 citations

Peers

Saif Ullah
Comparison fields: 5 of 105
  • Modeling and Simulation 123
  • Numerical Analysis 44
  • Computational Mechanics 141
  • Biomedical Engineering 221
  • Mechanical Engineering 172
Replace Abdul Ghaffar with:
Abdul Ghaffar Pakistan
Mostafa Zahri United Arab Emirates
Muhammad Farooq Pakistan
Abeer M. Alotaibi Saudi Arabia
Naveed Khan Pakistan
Fiaz Hussain Shah Pakistan
Farooq Ahmad Pakistan
Arifah Bahar Malaysia
Nebojša Dedović Serbia
Muhammad Ahmad Pakistan
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 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201658
2 201650
3 201927
4 202125
5 201824
6
Anticancer activity of Cinnamon tamala leaf constituents towards human ovarian cancer cells.
201523
7 202322
8 202122
9 202020
10 202414
11 201714
12 202314
13 201713
14 202113
15 201912
16 202211
17 201911
18 202211
19 201810
20 201910

About Saif Ullah

Saif Ullah is a scholar working on Biomedical Engineering, Computational Mechanics, Mechanical Engineering, Modeling and Simulation and Numerical Analysis, having authored 74 papers that have together received 591 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (20 papers), Fractional Differential Equations Solutions (14 papers), Fluid Dynamics and Turbulent Flows (11 papers), Heat Transfer Mechanisms (11 papers), Rheology and Fluid Dynamics Studies (7 papers), Heat Transfer and Optimization (5 papers), Differential Equations and Numerical Methods (5 papers) and Fluid Dynamics and Vibration Analysis (5 papers). The work is most often cited by research in Modeling and Simulation (123 citations), Numerical Analysis (44 citations), Computational Mechanics (141 citations), Biomedical Engineering (221 citations) and Mechanical Engineering (172 citations). Saif Ullah has collaborated with scholars based in Pakistan, Saudi Arabia and China. Frequent co-authors include Najeeb Alam Khan, Shakeel Mahmood, Amin U. Khan, Nehad Ali Shah, Rizwan Mustafa Shah, Sarfraz Ali Shad, Muhammad Tanveer, Nadeem Alam Khan, Iskander Tlili and Saif Ur Rahman. Their work appears in journals such as Mathematical Methods in the Applied Sciences, Journal of Fluids Engineering, AIP Advances, Alexandria Engineering Journal and Fractals.

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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