Finlay MacDougall

1.0k total citations
13 papers, 680 citations indexed

About

Finlay MacDougall is a scholar working on Pathology and Forensic Medicine, Oncology and Hematology. According to data from OpenAlex, Finlay MacDougall has authored 13 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pathology and Forensic Medicine, 6 papers in Oncology and 3 papers in Hematology. Recurrent topics in Finlay MacDougall's work include Lymphoma Diagnosis and Treatment (8 papers), Acute Lymphoblastic Leukemia research (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Finlay MacDougall is often cited by papers focused on Lymphoma Diagnosis and Treatment (8 papers), Acute Lymphoblastic Leukemia research (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Finlay MacDougall collaborates with scholars based in United Kingdom, France and Belgium. Finlay MacDougall's co-authors include John G. Gribben, Andrew Clear, Maria Calaminici, Tim Lister, Abigail M. Lee, Janet Matthews, Gavin Kelly, Alan G. Ramsay, Rewas Fatah and Suzanne Jordan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.

In The Last Decade

Finlay MacDougall

12 papers receiving 670 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Finlay MacDougall United Kingdom 7 374 352 302 166 104 13 680
Lisa L. P. Siu China 11 328 0.9× 351 1.0× 209 0.7× 74 0.4× 117 1.1× 27 585
Vera Vanhentenrijk Belgium 12 374 1.0× 241 0.7× 143 0.5× 219 1.3× 144 1.4× 13 571
Maria Delioukina United States 13 426 1.1× 308 0.9× 168 0.6× 168 1.0× 157 1.5× 33 652
Ruth Sonnen Germany 15 453 1.2× 297 0.8× 163 0.5× 224 1.3× 81 0.8× 23 643
Anna Gazzola Italy 12 460 1.2× 327 0.9× 220 0.7× 112 0.7× 111 1.1× 43 649
Emanuele Cencini Italy 13 281 0.8× 164 0.5× 218 0.7× 262 1.6× 108 1.0× 55 535
Vundavalli V. Murty United States 12 415 1.1× 396 1.1× 130 0.4× 172 1.0× 304 2.9× 19 842
Julia Steinhilber Germany 15 392 1.0× 260 0.7× 132 0.4× 235 1.4× 144 1.4× 28 652
Karin E. Summers United Kingdom 9 404 1.1× 280 0.8× 79 0.3× 251 1.5× 138 1.3× 11 608
I Bolz Germany 11 331 0.9× 196 0.6× 148 0.5× 192 1.2× 133 1.3× 17 562

Countries citing papers authored by Finlay MacDougall

Since Specialization
Citations

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

Fields of papers citing papers by Finlay MacDougall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Finlay MacDougall

This figure shows the co-authorship network connecting the top 25 collaborators of Finlay MacDougall. A scholar is included among the top collaborators of Finlay MacDougall 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 Finlay MacDougall. Finlay MacDougall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Besson, Hervé, et al.. (2017). PHEDRA: using real-world data to analyze treatment patterns and ibrutinib effectiveness in hematological malignancies. Journal of Comparative Effectiveness Research. 7(1). 29–38. 6 indexed citations
2.
Marchetti, Paolo, Nicolaì Maass, Joseph Gligorov, et al.. (2016). Patient database analysis of fulvestrant 500 mg in the treatment of metastatic breast cancer: A European perspective. The Breast. 32. 247–255. 12 indexed citations
4.
Auer, Rebecca, Finlay MacDougall, Heather Oakervee, et al.. (2012). T‐cell replete fludarabine/cyclophosphamide reduced intensity allogeneic stem cell transplantation for lymphoid malignancies. British Journal of Haematology. 157(5). 580–585. 4 indexed citations
6.
Clear, Andrew, Abigail M. Lee, Maria Calaminici, et al.. (2010). Increased angiogenic sprouting in poor prognosis FL is associated with elevated numbers of CD163+ macrophages within the immediate sprouting microenvironment. Blood. 115(24). 5053–5056. 98 indexed citations
8.
Stevens, Jane, et al.. (2009). Patterns of recruitment into acute myeloid leukaemia (AML) 15 and outcome for young patients with AML at a single referral centre. British Journal of Haematology. 145(1). 40–44. 6 indexed citations
9.
10.
O’Shea, Derville, Ciarán Ó’Riain, Claire Taylor, et al.. (2008). The presence of TP53 mutation at diagnosis of follicular lymphoma identifies a high-risk group of patients with shortened time to disease progression and poorer overall survival. Blood. 112(8). 3126–3129. 87 indexed citations
11.
Paulsson, Kajsa, Jean‐Baptiste Cazier, Finlay MacDougall, et al.. (2008). Microdeletions are a general feature of adult and adolescent acute lymphoblastic leukemia: Unexpected similarities with pediatric disease. Proceedings of the National Academy of Sciences. 105(18). 6708–6713. 77 indexed citations
12.
Lee, Abigail M., Andrew Clear, Maria Calaminici, et al.. (2006). Number of CD4+ Cells and Location of Forkhead Box Protein P3–Positive Cells in Diagnostic Follicular Lymphoma Tissue Microarrays Correlates With Outcome. Journal of Clinical Oncology. 24(31). 5052–5059. 191 indexed citations

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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