Katia Slama

12 total papers · 468 total citations
8 papers, 324 citations indexed

About

Katia Slama is a scholar working on Infectious Diseases, Epidemiology and Physiology. According to data from OpenAlex, Katia Slama has authored 8 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 4 papers in Epidemiology and 2 papers in Physiology. Recurrent topics in Katia Slama's work include Tuberculosis Research and Epidemiology (5 papers), Pneumonia and Respiratory Infections (3 papers) and Smoking Behavior and Cessation (2 papers). Katia Slama is often cited by papers focused on Tuberculosis Research and Epidemiology (5 papers), Pneumonia and Respiratory Infections (3 papers) and Smoking Behavior and Cessation (2 papers). Katia Slama collaborates with scholars based in France, Morocco and Guyana. Katia Slama's co-authors include Nabil Tachfouti, Chakib Nejjari, Karima El Rhazi, Mohammed Benjelloun, K. Fagerström, Sara Gandini, Witold Zatoński, Michael Kunze, Nigel Gray and Mohamed Berraho and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMJ Open and European Journal of Public Health.

In The Last Decade

Katia Slama

8 papers receiving 310 citations

Author Peers

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

Author Last Decade Papers Cites
Katia Slama 132 115 93 79 75 8 324
Imen Ayouni 101 0.8× 82 0.7× 33 0.4× 119 1.5× 49 0.7× 6 340
C. C. Leung 142 1.1× 58 0.5× 75 0.8× 51 0.6× 48 0.6× 7 333
Caroline McElnay 87 0.7× 48 0.4× 37 0.4× 112 1.4× 42 0.6× 5 283
Sabrina Zadrozny 106 0.8× 92 0.8× 71 0.8× 73 0.9× 14 0.2× 16 261
Darren Hunt 37 0.3× 52 0.5× 58 0.6× 68 0.9× 31 0.4× 11 317
Archelle Georgiou 60 0.5× 69 0.6× 19 0.2× 58 0.7× 47 0.6× 7 261
Deniz Naghibi 79 0.6× 91 0.8× 32 0.3× 54 0.7× 36 0.5× 6 327
Yixiang Ng 122 0.9× 45 0.4× 64 0.7× 132 1.7× 43 0.6× 8 326
Adriana Perez 143 1.1× 68 0.6× 39 0.4× 40 0.5× 24 0.3× 8 347
Sisay Shine 31 0.2× 49 0.4× 45 0.5× 36 0.5× 27 0.4× 17 263

Countries citing papers authored by Katia Slama

Since Specialization
Citations

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

Fields of papers citing papers by Katia Slama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katia Slama

This figure shows the co-authorship network connecting the top 25 collaborators of Katia Slama. A scholar is included among the top collaborators of Katia Slama 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 Katia Slama. Katia Slama 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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