D. Purdie

47 total papers · 810 total citations
23 papers, 214 citations indexed

About

D. Purdie is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, D. Purdie has authored 23 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 9 papers in Pulmonary and Respiratory Medicine and 3 papers in Epidemiology. Recurrent topics in D. Purdie's work include Colorectal Cancer Treatments and Studies (10 papers), Cancer Treatment and Pharmacology (7 papers) and Gastric Cancer Management and Outcomes (6 papers). D. Purdie is often cited by papers focused on Colorectal Cancer Treatments and Studies (10 papers), Cancer Treatment and Pharmacology (7 papers) and Gastric Cancer Management and Outcomes (6 papers). D. Purdie collaborates with scholars based in United States, Australia and United Kingdom. D. Purdie's co-authors include Mary M. Sugrue, Axel Grothey, Joanne T.E. Shaw, H. A. W. Neil, R. C. Turner, J Lévy, Patrick J. Flynn, Jordan Berlin, Mark Kozloff and Fairooz F. Kabbinavar and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and Hepatology.

In The Last Decade

D. Purdie

22 papers receiving 209 citations

Author Peers

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

Author						Papers	Cites
D. Purdie	116	52	42	32	32	23	214
Joanna Moschandreas	69 0.6×	36 0.7×	64 1.5×	21 0.7×	67 2.1×	22	206
Christine Yu	100 0.9×	75 1.4×	16 0.4×	70 2.2×	38 1.2×	26	314
I. Al‐Fawaz	28 0.2×	52 1.0×	40 1.0×	30 0.9×	41 1.3×	21	295
Vincent Cheung	184 1.6×	33 0.6×	24 0.6×	20 0.6×	96 3.0×	19	311
Yueqing Huang	71 0.6×	59 1.1×	15 0.4×	82 2.6×	36 1.1×	29	246
Yutuan Wu	131 1.1×	31 0.6×	14 0.3×	100 3.1×	43 1.3×	26	303
Danielle Jacobovitz	46 0.4×	139 2.7×	43 1.0×	60 1.9×	63 2.0×	25	308
Tianrui Kuang	173 1.5×	65 1.3×	34 0.8×	99 3.1×	63 2.0×	27	327
Duc Le	149 1.3×	96 1.8×	20 0.5×	66 2.1×	32 1.0×	26	299
Takeharu Asano	71 0.6×	74 1.4×	40 1.0×	33 1.0×	98 3.1×	30	264

Countries citing papers authored by D. Purdie

Since Specialization

Citations

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

Fields of papers citing papers by D. Purdie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Purdie

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