Hamish G. Campbell

24 total papers · 526 total citations
14 papers, 334 citations indexed

About

Hamish G. Campbell is a scholar working on Oncology, Molecular Biology and Biotechnology. According to data from OpenAlex, Hamish G. Campbell has authored 14 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 7 papers in Molecular Biology and 4 papers in Biotechnology. Recurrent topics in Hamish G. Campbell's work include Cancer-related Molecular Pathways (6 papers), Cancer Research and Treatments (4 papers) and Cytokine Signaling Pathways and Interactions (2 papers). Hamish G. Campbell is often cited by papers focused on Cancer-related Molecular Pathways (6 papers), Cancer Research and Treatments (4 papers) and Cytokine Signaling Pathways and Interactions (2 papers). Hamish G. Campbell collaborates with scholars based in New Zealand, Australia and United Kingdom. Hamish G. Campbell's co-authors include Antony W. Braithwaite, Roger R. Reddel, Tania L. Slatter, Margaret A. Baird, Janice A. Royds, Sunali Mehta, Reena Mehta, Anna Wiles, Aaron Jeffs and Jean‐Christophe Bourdon and has published in prestigious journals such as Blood, Cancer Research and Oncogene.

In The Last Decade

Hamish G. Campbell

14 papers receiving 334 citations

Author Peers

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

Author Last Decade Papers Cites
Hamish G. Campbell 203 155 76 51 44 14 334
Ivana Heřmanová 195 1.0× 96 0.6× 83 1.1× 37 0.7× 37 0.8× 16 400
Shouheng Lin 113 0.6× 154 1.0× 62 0.8× 36 0.7× 25 0.6× 11 312
Shaojie Wu 209 1.0× 146 0.9× 96 1.3× 15 0.3× 32 0.7× 20 328
Susan K. Rathe 231 1.1× 99 0.6× 82 1.1× 18 0.4× 53 1.2× 18 385
T Hotta 157 0.8× 149 1.0× 23 0.3× 29 0.6× 111 2.5× 9 356
Lucia Demková 184 0.9× 159 1.0× 69 0.9× 26 0.5× 9 0.2× 15 329
Melanie Dujka 223 1.1× 122 0.8× 56 0.7× 21 0.4× 48 1.1× 12 344
Riccardo Ronzoni 182 0.9× 70 0.5× 116 1.5× 26 0.5× 37 0.8× 13 351
Pascal Trempat 168 0.8× 140 0.9× 48 0.6× 11 0.2× 33 0.8× 16 402
Jessie Brown 189 0.9× 136 0.9× 64 0.8× 10 0.2× 20 0.5× 11 339

Countries citing papers authored by Hamish G. Campbell

Since Specialization
Citations

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

Fields of papers citing papers by Hamish G. Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hamish G. Campbell. 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 Hamish G. Campbell. The network helps show where Hamish G. Campbell may publish in the future.

Co-authorship network of co-authors of Hamish G. Campbell

This figure shows the co-authorship network connecting the top 25 collaborators of Hamish G. Campbell. A scholar is included among the top collaborators of Hamish G. Campbell 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 Hamish G. Campbell. Hamish G. Campbell 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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