Osei Kankam

About

Osei Kankam is a scholar working on Surgery, Epidemiology and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Osei Kankam has authored 2 papers receiving a total of 14 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Surgery, 1 paper in Epidemiology and 1 paper in Organizational Behavior and Human Resource Management. Recurrent topics in Osei Kankam’s work include Chronic Disease Management Strategies (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Dermatological and COVID-19 studies (1 paper). Osei Kankam is often cited by papers focused on Chronic Disease Management Strategies (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Dermatological and COVID-19 studies (1 paper). Osei Kankam collaborates with scholars based in United Kingdom. Osei Kankam's co-authors include Mariya Farooq, Nadia Gildeh and David Maxwell and has published in prestigious journals such as Cureus and European Respiratory Journal.

In The Last Decade

Co-authorship network of co-authors of Osei Kankam i

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Fields of papers citing papers by Osei Kankam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Osei Kankam

Since Specialization

Citations

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

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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