Campbell Tiley

82 total papers · 1.1k total citations
24 papers, 350 citations indexed

About

Campbell Tiley is a scholar working on Hematology, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Campbell Tiley has authored 24 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hematology, 9 papers in Oncology and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Campbell Tiley's work include Multiple Myeloma Research and Treatments (5 papers), Acute Lymphoblastic Leukemia research (4 papers) and Hematopoietic Stem Cell Transplantation (4 papers). Campbell Tiley is often cited by papers focused on Multiple Myeloma Research and Treatments (5 papers), Acute Lymphoblastic Leukemia research (4 papers) and Hematopoietic Stem Cell Transplantation (4 papers). Campbell Tiley collaborates with scholars based in Australia, United Kingdom and United States. Campbell Tiley's co-authors include R Powles, S Milan, Samuel T. Milliken, C. W. Smith, J. Treleaven, E. C. Gordon‐Smith, T J McElwain, Judith Trotman, Yiu Lam Kwan and Christa E. Nath and has published in prestigious journals such as The Lancet, Blood and Cancer.

In The Last Decade

Campbell Tiley

23 papers receiving 348 citations

Author Peers

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

Author Last Decade Papers Cites
Campbell Tiley 216 160 77 40 39 24 350
T Ninomiya 213 1.0× 107 0.7× 46 0.6× 48 1.2× 52 1.3× 30 319
Fabienne Trullemans 188 0.9× 113 0.7× 64 0.8× 38 0.9× 48 1.2× 20 359
Bensinger Wi 267 1.2× 120 0.8× 37 0.5× 34 0.8× 34 0.9× 18 353
I. Grant McQuaker 212 1.0× 192 1.2× 38 0.5× 47 1.2× 22 0.6× 16 373
Maxim Norkin 226 1.0× 147 0.9× 83 1.1× 41 1.0× 45 1.2× 35 391
Gianna Maria D’Elia 159 0.7× 128 0.8× 42 0.5× 57 1.4× 35 0.9× 33 357
Blanca Molina 175 0.8× 99 0.6× 44 0.6× 55 1.4× 31 0.8× 31 342
Robin Hume 258 1.2× 76 0.5× 43 0.6× 63 1.6× 49 1.3× 21 361
Ryoko Yamasaki 166 0.8× 115 0.7× 40 0.5× 37 0.9× 17 0.4× 33 313
A. Insunza 162 0.8× 80 0.5× 82 1.1× 24 0.6× 13 0.3× 24 365

Countries citing papers authored by Campbell Tiley

Since Specialization
Citations

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

Fields of papers citing papers by Campbell Tiley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Campbell Tiley

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