Bashir Lawal

97 papers receiving 1.7k citations

Peers

Bashir Lawal
Comparison fields: 5 of 106
  • Pharmacology 365
  • Complementary and alternative medicine 166
  • Endocrinology, Diabetes and Metabolism 334
  • Biochemistry 107
  • Forestry 68
Replace Khairana Husain with:
Khairana Husain Malaysia
Alamgeer Umme Habiba Hasan Pakistan
Velliyur Kanniappan Gopalakrishnan India
Subramanion L. Jothy Malaysia
J. M. Makinde Nigeria
Ânderson Luiz-Ferreira Brazil
Jeng‐Dong Hsu Taiwan
Norhafizah Mohtarrudin Malaysia
Jin‐Bin Wu Taiwan
Shradha Sinha India
Bashir Lawal relative to Khairana Husain Malaysia Khairana Husain's profile →
Citations per field
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Khairana Husain · 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 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201695
2 201680
3 201571
4 202061
5 201852
6 202152
7 202150
8 201845
9 202138
10 201537
11 202134
12 202034
13 202333
14 201532
15 202031
16 202129
17 202128
18 202127
19 201527
20 202125

About Bashir Lawal

Bashir Lawal is a scholar working on Molecular Biology, Plant Science, Pharmacology, Endocrinology, Diabetes and Metabolism and Oncology, having authored 103 papers that have together received 1.7k indexed citations. Recurring topics across this work include Natural Antidiabetic Agents Studies (17 papers), Ethnobotanical and Medicinal Plants Studies (13 papers), Cancer Mechanisms and Therapy (9 papers), Pharmacological Effects of Natural Compounds (8 papers), Ferroptosis and cancer prognosis (7 papers), Natural product bioactivities and synthesis (6 papers), Cancer-related Molecular Pathways (6 papers) and Trypanosoma species research and implications (5 papers). The work is most often cited by research in Pharmacology (365 citations), Complementary and alternative medicine (166 citations), Endocrinology, Diabetes and Metabolism (334 citations), Biochemistry (107 citations) and Forestry (68 citations). Bashir Lawal has collaborated with scholars based in Nigeria, Taiwan 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, Sunday Amos Onikanni, Fanyana M. Mtunzi and Bamidele J. Okoli. Their work appears in journals such as Biomedicine & Pharmacotherapy, Cancers, Molecules, International Journal of Molecular Sciences and Computers in Biology and Medicine.

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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