Sanusi Ibrahim

74 total papers · 662 total citations
35 papers, 277 citations indexed

About

Sanusi Ibrahim is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Sanusi Ibrahim has authored 35 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Pediatrics, Perinatology and Child Health and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Sanusi Ibrahim's work include Agricultural and Biological Research (4 papers), Phytochemical compounds biological activities (4 papers) and Global Maternal and Child Health (3 papers). Sanusi Ibrahim is often cited by papers focused on Agricultural and Biological Research (4 papers), Phytochemical compounds biological activities (4 papers) and Global Maternal and Child Health (3 papers). Sanusi Ibrahim collaborates with scholars based in Indonesia, Nigeria and Egypt. Sanusi Ibrahim's co-authors include Bustanul Arifin, Dachriyanus Dachriyanus, Kaori Tanaka, Mai Efdi, Masayuki Ninomiya, Mamoru Koketsu, Joseph Bagi Suleiman, S.E. Atawodi, Ejike Daniel Eze and Kunitomo Watanabe and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioorganic & Medicinal Chemistry Letters and BMC Nursing.

In The Last Decade

Sanusi Ibrahim

30 papers receiving 257 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Sanusi Ibrahim	122	62	58	36	35	35	277
Arsyik Ibrahim	122 1.0×	108 1.7×	46 0.8×	18 0.5×	51 1.5×	67	272
Gemini Alam	122 1.0×	58 0.9×	63 1.1×	23 0.6×	16 0.5×	71	304
Katrin Roosita	95 0.8×	60 1.0×	44 0.8×	30 0.8×	24 0.7×	48	331
Swandari Paramita	51 0.4×	53 0.9×	34 0.6×	11 0.3×	14 0.4×	52	226
Kartini Hasballah	79 0.6×	47 0.8×	50 0.9×	13 0.4×	9 0.3×	39	278
Iwan Sahrial Hamid	92 0.8×	111 1.8×	59 1.0×	16 0.4×	22 0.6×	84	325
Katarzyna Mikołajczyk	143 1.2×	88 1.4×	97 1.7×	10 0.3×	8 0.2×	30	317
Syamsu Nur	137 1.1×	78 1.3×	47 0.8×	32 0.9×	41 1.2×	62	278
Erna Prawita Setyowati	88 0.7×	70 1.1×	44 0.8×	9 0.3×	32 0.9×	61	287
Rizal Damanik	72 0.6×	87 1.4×	40 0.7×	31 0.9×	22 0.6×	44	314

Countries citing papers authored by Sanusi Ibrahim

Since Specialization

Citations

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

Fields of papers citing papers by Sanusi Ibrahim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanusi Ibrahim

This figure shows the co-authorship network connecting the top 25 collaborators of Sanusi Ibrahim. A scholar is included among the top collaborators of Sanusi Ibrahim 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 Sanusi Ibrahim. Sanusi Ibrahim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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