Bashir Lawal

86 papers receiving 1.6k citations

Peers

Bashir Lawal
Comparison fields: 5 of 99
  • Pharmacology 277
  • Complementary and alternative medicine 140
  • Endocrinology, Diabetes and Metabolism 267
  • Biochemistry 83
  • Forestry 55
Replace Jeng‐Dong Hsu with:
Jeng‐Dong Hsu Taiwan
Norhafizah Mohtarrudin Malaysia
Velliyur Kanniappan Gopalakrishnan India
Kirti S. Prabhu Qatar
Jin‐Bin Wu Taiwan
Rita A. Dickson Ghana
Aliyu Muhammad Nigeria
Saad Bakrim Morocco
Maria Shabbir Pakistan
Shyh‐Shyun Huang Taiwan
Bashir Lawal relative to Jeng‐Dong Hsu Taiwan Jeng‐Dong Hsu's profile →
Citations per field
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Jeng‐Dong Hsu · 1×
Citations per year

Countries citing papers authored by Bashir Lawal

Since Specialization
Citations

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

Fields of papers citing papers by Bashir Lawal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201699
2 201682
3 201577
4 202060
5 201855
6 202151
7 202149
8 201846
9 202040
10 202137
11 201536
12 202134
13 202133
14 202032
15 202129
16 201528
17 202126
18 201926
19 202126
20 202125

About Bashir Lawal

Bashir Lawal is a scholar working on Molecular Biology, Plant Science, Oncology, Pharmacology and Endocrinology, Diabetes and Metabolism, having authored 90 papers that have together received 1.6k indexed citations. Recurring topics across this work include Natural Antidiabetic Agents Studies (13 papers), Ethnobotanical and Medicinal Plants Studies (12 papers), Cancer Mechanisms and Therapy (9 papers), Ferroptosis and cancer prognosis (7 papers), Cancer-related Molecular Pathways (5 papers), Phytochemistry and Biological Activities (5 papers), Phytochemistry and biological activity of medicinal plants (5 papers) and Essential Oils and Antimicrobial Activity (5 papers). The work is most often cited by research in Pharmacology (277 citations), Complementary and alternative medicine (140 citations), Endocrinology, Diabetes and Metabolism (267 citations), Biochemistry (83 citations) and Forestry (55 citations). Bashir Lawal has collaborated with scholars based in Taiwan, Nigeria and United States. Frequent co-authors include Alexander T.H. Wu, Oluwatosin Kudirat Shittu, Eustace Bonghan Berinyuy, Ntlotlang Mokgautsi, Hsu‐Shan Huang, Ali A. Jigam, Gaber El‐Saber Batiha, Yu-Cheng Kuo, Sunday Amos Onikanni and Bamidele J. Okoli. Their work appears in journals such as Biomedicine & Pharmacotherapy, Cancers, Molecules, Computers in Biology and Medicine 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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