Rahim Ullah

66 papers receiving 1.5k citations

Rahim Ullah's Hit Papers

RAF-MEK-ERK pathway in cancer evolution and treatment 2021 · 326 citations
3260+1+3Years since publication100200300

Peers

Rahim Ullah
Comparison fields: 5 of 131
  • Pharmacology 125
  • Pollution 154
  • Biological Psychiatry 21
  • Complementary and alternative medicine 62
  • Radiological and Ultrasound Technology 37
Replace Seyed Soheil Saeedi Saravi with:
Seyed Soheil Saeedi Saravi Iran
Rob Stierum Netherlands
Dalei Wu China
Björn Hellman Sweden
Dan Liu China
Kobra Shirani Iran
Kazunori Hosoe Japan
Syed Shams ul Hassan China
Shailendra K. Gupta India
Nariaki Fujimoto Japan
Rahim Ullah relative to Seyed Soheil Saeedi Saravi Iran Seyed Soheil Saeedi Saravi's profile →
Citations per field
00.5×2.9×
Seyed Soheil Saeedi Saravi · 1×
Citations per year

Countries citing papers authored by Rahim Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Rahim Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1
RAF-MEK-ERK pathway in cancer evolution and treatment
Hit paper breakdown →
2021326
2 202067
3 201961
4 201951
5 202146
6 202043
7 202342
8 201942
9 202140
10 202139
11 202133
12 202133
13 202232
14 202131
15 202231
16 202030
17 202129
18 202127
19 201826
20 201623

About Rahim Ullah

Rahim Ullah is a scholar working on Physiology, Plant Science, Molecular Biology, Pharmacology and Oncology, having authored 72 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (13 papers), Alzheimer's disease research and treatments (8 papers), Cholinesterase and Neurodegenerative Diseases (7 papers), Pharmacological Effects of Natural Compounds (7 papers), Essential Oils and Antimicrobial Activity (5 papers), Cancer Treatment and Pharmacology (4 papers), Computational Drug Discovery Methods (4 papers) and Nanoparticles: synthesis and applications (4 papers). The work is most often cited by research in Pharmacology (125 citations), Pollution (154 citations), Biological Psychiatry (21 citations), Complementary and alternative medicine (62 citations) and Radiological and Ultrasound Technology (37 citations). Rahim Ullah has collaborated with scholars based in Pakistan, Saudi Arabia and United States. Frequent co-authors include Lixin Wan, Qing Yin, Said Muhammad, Ishtiaq A. K. Jadoon, Gowhar Ali, Amir Faisal, Rahman Shah Zaib Saleem, Ashraf Ullah Khan, Adnan Khan and Bushra Shal. Their work appears in journals such as International Immunopharmacology, Bioorganic Chemistry, International Journal of Molecular Sciences, Molecules and Arabian Journal of Chemistry.

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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