Plant diversity darkspots for global collection priorities

31 indexed citations

Abstract

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This paper, published in 2024, received 31 indexed citations. Written by Ian Ondo, Kiran L. Dhanjal‐Adams, Samuel Pironon, Daniele Silvestro, Matheus Colli‐Silva, Victor Deklerck, Olwen M. Grace, Alexandre K. Monro, Nicky Nicolson and Barnaby E. Walker covering the research area of Ecological Modeling, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics. It is primarily cited by scholars working on Ecology, Evolution, Behavior and Systematics (16 citations), Plant Science (9 citations) and Ecological Modeling (8 citations). Published in New Phytologist.

Countries where authors are citing Plant diversity darkspots for global collection priorities

Specialization
Citations

This map shows the geographic impact of Plant diversity darkspots for global collection priorities. 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 Plant diversity darkspots for global collection priorities with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Plant diversity darkspots for global collection priorities more than expected).

Fields of papers citing Plant diversity darkspots for global collection priorities

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Plant diversity darkspots for global collection priorities. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Plant diversity darkspots for global collection priorities.

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.

This paper is also available at doi.org/10.1111/nph.20024.

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