Abdulwahab Alamri

923 citations
50 papers · 675 indexed · h-index 17
Topics
Computational Drug Discovery Methods (8 papers)Synthesis and biological activity (7 papers)Phytochemicals and Antioxidant Activities (7 papers)

In The Last Decade

Abdulwahab Alamri

44 papers receiving 669 citations

Peers

Abdulwahab Alamri
Comparison fields: 5 of 100
  • Molecular Biology 279
  • Organic Chemistry 127
  • Food Science 92
  • Plant Science 83
  • Pharmacology 68
Replace Bader Alshehri with:
Bader Alshehri Saudi Arabia
Venu Talla India
Kamila Środa-Pomianek Poland
Jalal Soubhye Belgium
Yuan Liang China
Md Shahinozzaman United States
Hee-Kyoung Kang South Korea
Iqra Sarfraz Pakistan
Veronika Hanušová Czechia
Sabeeha Ali India
Abdulwahab Alamri relative to Bader Alshehri Saudi Arabia Bader Alshehri's profile →
Citations per field
00.5×1.6×
Bader Alshehri · 1×
Citations per year

Countries citing papers authored by Abdulwahab Alamri

Since Specialization
Citations

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

Fields of papers citing papers by Abdulwahab Alamri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdulwahab Alamri

This figure shows the co-authorship network connecting the top 25 collaborators of Abdulwahab Alamri. A scholar is included among the top collaborators of Abdulwahab Alamri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Abdulwahab Alamri. Abdulwahab Alamri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 3
4 0
5 59
6 1
7 17
8 4
9 1
10 4
11 21
12 10
13 4
14 2
15 1
16 8
17 10
18 11
19 22
20 13

About Abdulwahab Alamri

Abdulwahab Alamri is a scholar working on Biochemistry, Computational Theory and Mathematics and Developmental Neuroscience, having authored 50 papers that have together received 675 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Synthesis and biological activity (7 papers) and Phytochemicals and Antioxidant Activities (7 papers). The work is most often cited by research in Biochemistry (40 citations), Toxicology (21 citations) and Biological Psychiatry (14 citations). Abdulwahab Alamri has collaborated with scholars based in Saudi Arabia, Pakistan and India. Frequent co-authors include Sirajudheen Anwar, Kannan R. R. Rengasamy, Anees Ahmed Khalil, Abdur Rauf, Amr S. Abouzied, Ramesh Kumar Saini, Abdulhakeem S. Alamri, Adel Alghamdi, Sobhi M. Gomha and Максим Ребезов. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

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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