Polyhedron

20.2k papers and 329.2k indexed citations i.

About

The 20.2k papers published in Polyhedron in the last decades have received a total of 329.2k indexed citations. Papers published in Polyhedron usually cover Inorganic Chemistry (10.2k papers), Organic Chemistry (9.2k papers) and Oncology (8.5k papers) specifically the topics of Metal complexes synthesis and properties (8.4k papers), Magnetism in coordination complexes (6.3k papers) and Organometallic Complex Synthesis and Catalysis (3.9k papers). The most active scholars publishing in Polyhedron are Simon Cotton, Tebello Nyokong, M.R. Prathapachandra Kurup, George Christou, S. A. Cotton, Ian Dance, George B. Kauffman, Michael B. Hursthouse, Edwin C. Constable and Masoud Salavati‐Niasari.

In The Last Decade

Fields of papers published in Polyhedron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Polyhedron. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Polyhedron.

Countries where authors publish in Polyhedron

Since Specialization
Citations

This map shows the geographic impact of research published in Polyhedron. 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 papers published in Polyhedron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Polyhedron 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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