Prehistoric Human Bone : Archaeology at the Molecular Level

688 indexed citations
published 1993

Impact in

Classified as

Journal
Medical Entomology and Zoology

In The Last Decade

doi.org/w76544779 →

Countries where authors are citing Prehistoric Human Bone : Archaeology at the Molecular Level

Specialization
Citations

This map shows the geographic impact of Prehistoric Human Bone : Archaeology at the Molecular Level. 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 Prehistoric Human Bone : Archaeology at the Molecular Level with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prehistoric Human Bone : Archaeology at the Molecular Level more than expected).

Fields of papers citing Prehistoric Human Bone : Archaeology at the Molecular Level

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Prehistoric Human Bone : Archaeology at the Molecular Level. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Prehistoric Human Bone : Archaeology at the Molecular Level.

About Prehistoric Human Bone : Archaeology at the Molecular Level

This paper, published in 1993, received 688 indexed citations . Written by Joseph B. Lambert and Gisela Grupe covering the research area of Archeology. It is primarily cited by scholars working on Paleontology (578 citations), Ecology (466 citations), Geography, Planning and Development (280 citations), Anthropology (230 citations) and Archeology (183 citations). Published in Medical Entomology and Zoology.

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/w76544779.

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