Nehmat Houssami

297 papers and 16.7k indexed citations i.

About

Nehmat Houssami is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Nehmat Houssami has authored 297 papers receiving a total of 16.7k indexed citations (citations by other indexed papers that have themselves been cited), including 177 papers in Oncology, 115 papers in Pulmonary and Respiratory Medicine and 106 papers in Artificial Intelligence. Recurrent topics in Nehmat Houssami’s work include Global Cancer Incidence and Screening (157 papers), AI in cancer detection (104 papers) and Breast Cancer Treatment Studies (103 papers). Nehmat Houssami is often cited by papers focused on Global Cancer Incidence and Screening (157 papers), AI in cancer detection (104 papers) and Breast Cancer Treatment Studies (103 papers). Nehmat Houssami collaborates with scholars based in Australia, Italy and United States. Nehmat Houssami's co-authors include Petra Macaskill, Stefano Ciatto, Les Irwig, M. Luke Marinovich, Monica Morrow, Meagan Brennan, Robin Turner, Philip Poortmans, Fátima Cardoso and Michael Gnant and has published in prestigious journals such as The Lancet, JAMA and Nature Medicine.

In The Last Decade

Co-authorship network of co-authors of Nehmat Houssami i

Fields of papers citing papers by Nehmat Houssami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nehmat Houssami

Since Specialization
Citations

This map shows the geographic impact of Nehmat Houssami'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 Nehmat Houssami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nehmat Houssami 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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2025