Tanya Cranfield

24 total papers · 744 total citations
12 papers, 153 citations indexed

About

Tanya Cranfield is a scholar working on Hematology, Oncology and Immunology. According to data from OpenAlex, Tanya Cranfield has authored 12 papers receiving a total of 153 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 4 papers in Oncology and 4 papers in Immunology. Recurrent topics in Tanya Cranfield's work include Multiple Myeloma Research and Treatments (3 papers), Complement system in diseases (3 papers) and Platelet Disorders and Treatments (3 papers). Tanya Cranfield is often cited by papers focused on Multiple Myeloma Research and Treatments (3 papers), Complement system in diseases (3 papers) and Platelet Disorders and Treatments (3 papers). Tanya Cranfield collaborates with scholars based in United Kingdom, France and Canada. Tanya Cranfield's co-authors include David Sinclair, Marie Scully, Tina Dutt, Mari Thomas, Piers Blombery, Christopher J. Patriquin, Siobhan McGuckin, Catherine Bagot, R J Lock and Will Lester and has published in prestigious journals such as Blood, Biochemical Pharmacology and British Journal of Haematology.

In The Last Decade

Tanya Cranfield

10 papers receiving 150 citations

Author Peers

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

Author Last Decade Papers Cites
Tanya Cranfield 97 89 48 43 14 12 153
Stephanie Savelli 102 1.1× 63 0.7× 45 0.9× 26 0.6× 17 1.2× 14 215
Fabiana Cacace 146 1.5× 117 1.3× 86 1.8× 67 1.6× 4 0.3× 11 214
Rosa Goterris 76 0.8× 113 1.3× 35 0.7× 72 1.7× 37 2.6× 15 234
Ferras Alwan 121 1.2× 65 0.7× 65 1.4× 57 1.3× 5 0.4× 9 179
Emma Diletta Stea 88 0.9× 31 0.3× 74 1.5× 12 0.3× 12 0.9× 14 167
Julio del Río-Garma 171 1.8× 124 1.4× 94 2.0× 69 1.6× 16 1.1× 18 255
Laurence Simon 96 1.0× 60 0.7× 58 1.2× 111 2.6× 12 0.9× 9 216
Marco Montagna 32 0.3× 64 0.7× 20 0.4× 39 0.9× 32 2.3× 13 170
Holger Schirutschke 81 0.8× 75 0.8× 34 0.7× 6 0.1× 14 1.0× 11 147
Mary Underwood 182 1.9× 126 1.4× 88 1.8× 108 2.5× 8 0.6× 11 239

Countries citing papers authored by Tanya Cranfield

Since Specialization
Citations

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

Fields of papers citing papers by Tanya Cranfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanya Cranfield

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