K. J. McCallum

50 total papers · 1.4k total citations
31 papers, 829 citations indexed

About

K. J. McCallum is a scholar working on Materials Chemistry, Paleontology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, K. J. McCallum has authored 31 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Materials Chemistry, 5 papers in Paleontology and 5 papers in Health, Toxicology and Mutagenesis. Recurrent topics in K. J. McCallum's work include Archaeology and ancient environmental studies (5 papers), Chemical Analysis and Environmental Impact (5 papers) and Geology and Paleoclimatology Research (4 papers). K. J. McCallum is often cited by papers focused on Archaeology and ancient environmental studies (5 papers), Chemical Analysis and Environmental Impact (5 papers) and Geology and Paleoclimatology Research (4 papers). K. J. McCallum collaborates with scholars based in Canada, United States and United Kingdom. K. J. McCallum's co-authors include Iuliana Ionita‐Laza, Joseph D. Buxbaum, Bin Xu, D. A. Rennie, C. A. Campbell, E. A. Paul, A. G. Maddock, W Dyck, Marinela Capanu and Silvia De Rubeis and has published in prestigious journals such as Nature, Journal of the American Chemical Society and The Journal of Chemical Physics.

In The Last Decade

K. J. McCallum

29 papers receiving 759 citations

Hit Papers

A spectral approach integ... 2016 2026 2019 2022 2016 100 200 300

Author Peers

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

Author Last Decade Papers Cites
K. J. McCallum 298 281 125 118 109 31 829
Ke Wang 85 0.3× 106 0.4× 62 0.5× 66 0.6× 10 0.1× 34 722
Chunxiao Li 47 0.2× 373 1.3× 41 0.3× 79 0.7× 37 0.3× 70 993
P. Nyrén 48 0.2× 350 1.2× 163 1.3× 110 0.9× 85 0.8× 23 776
Erik D. Pollock 23 0.1× 133 0.5× 161 1.3× 104 0.9× 68 0.6× 51 831
M. Shinoda 76 0.3× 142 0.5× 143 1.1× 291 2.5× 100 0.9× 34 1.0k
Han Li 22 0.1× 214 0.8× 106 0.8× 147 1.2× 25 0.2× 62 782
Céline Largeau 116 0.4× 453 1.6× 30 0.2× 23 0.2× 19 0.2× 33 729
José M. Lorenzo-Salazar 65 0.2× 64 0.2× 17 0.1× 74 0.6× 10 0.1× 53 954
Shitao Zhang 47 0.2× 307 1.1× 39 0.3× 203 1.7× 7 0.1× 67 1.0k
Jinghui Liu 82 0.3× 221 0.8× 138 1.1× 18 0.2× 34 0.3× 39 847

Countries citing papers authored by K. J. McCallum

Since Specialization
Citations

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

Fields of papers citing papers by K. J. McCallum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. J. McCallum. 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 K. J. McCallum. The network helps show where K. J. McCallum may publish in the future.

Co-authorship network of co-authors of K. J. McCallum

This figure shows the co-authorship network connecting the top 25 collaborators of K. J. McCallum. A scholar is included among the top collaborators of K. J. McCallum 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 K. J. McCallum. K. J. McCallum 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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