Sani Musa

3.4k total citations
10 papers, 27 citations indexed

About

Sani Musa is a scholar working on Surgery, Health and Neurology. According to data from OpenAlex, Sani Musa has authored 10 papers receiving a total of 27 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Surgery, 2 papers in Health and 2 papers in Neurology. Recurrent topics in Sani Musa's work include Vaccine Coverage and Hesitancy (2 papers), Statistical Methods and Bayesian Inference (1 paper) and COVID-19 and Mental Health (1 paper). Sani Musa is often cited by papers focused on Vaccine Coverage and Hesitancy (2 papers), Statistical Methods and Bayesian Inference (1 paper) and COVID-19 and Mental Health (1 paper). Sani Musa collaborates with scholars based in Nigeria and China. Sani Musa's co-authors include Lixia Liu, Isyaku Muhammad, Mustapha Muhammad, Hexin Zhang, Abdulhakeem Abayomi Olorukooba, Ahmad Bello and Ibrahim Musa Kida and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Data Science and PubMed.

In The Last Decade

Sani Musa

8 papers receiving 25 citations

Peers

Sani Musa
Ana Kowark Germany
Naimin Jing United States
B Jayaraman United States
Zainab Rehman Pakistan
Liz Tremain United Kingdom
Sani Musa
Citations per year, relative to Sani Musa Sani Musa (= 1×) peers Aurélie Veislinger

Countries citing papers authored by Sani Musa

Since Specialization
Citations

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

Fields of papers citing papers by Sani Musa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sani Musa

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

All Works

10 of 10 papers shown
3.
Musa, Sani, et al.. (2022). Kawasaki Disease Associated with Streptococcal Infection and Facial Nerve Palsy: A Case Report. SHILAP Revista de lepidopterología. 16(1). 82–85. 1 indexed citations
4.
Muhammad, Mustapha, et al.. (2022). A New Extension of the Topp–Leone-Family of Models with Applications to Real Data. Annals of Data Science. 10(1). 225–250. 16 indexed citations
5.
Bello, Ahmad, et al.. (2022). Pediatric upper gastrointestinal endoscopic findings in Kaduna, Nigeria. 35(1). 52–58. 1 indexed citations
6.
Musa, Sani, et al.. (2021). Predictors of Coronavirus Disease-19 (COVID-19) Vaccine Acceptance Among Nigerian Medical Doctors. SSRN Electronic Journal. 1 indexed citations
7.
Musa, Sani, et al.. (2020). Impacted corncob in the anus: An unusual presentation of child sexual abuse. SHILAP Revista de lepidopterología. 23(2). 132–132. 1 indexed citations
8.
Musa, Sani, et al.. (2019). Primary progressive multiple sclerosis in a 10-year-old Nigerian boy. SHILAP Revista de lepidopterología. 22(2). 105–105.
9.

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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