Jennifer Dickson

86 total papers · 1.0k total citations
36 papers, 490 citations indexed

About

Jennifer Dickson is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Jennifer Dickson has authored 36 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Pulmonary and Respiratory Medicine, 11 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Oncology. Recurrent topics in Jennifer Dickson's work include Lung Cancer Diagnosis and Treatment (26 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Lung Cancer Treatments and Mutations (10 papers). Jennifer Dickson is often cited by papers focused on Lung Cancer Diagnosis and Treatment (26 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Lung Cancer Treatments and Mutations (10 papers). Jennifer Dickson collaborates with scholars based in United Kingdom, United States and Canada. Jennifer Dickson's co-authors include Rita Charon, Shannon Arntfield, Sam M. Janes, Samantha L. Quaife, Mamta Ruparel, Sophie Tisi, Carolyn Horst, Arjun Nair, Stephen W. Duffy and Neal Navani and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, CHEST Journal and Annals of Oncology.

In The Last Decade

Jennifer Dickson

32 papers receiving 472 citations

Author Peers

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

Author						Papers	Cites
Jennifer Dickson	251	116	108	103	80	36	490
Alvina Acquaye	180 0.7×	19 0.2×	156 1.4×	90 0.9×	33 0.4×	31	454
Ralph Ward	94 0.4×	28 0.2×	56 0.5×	65 0.6×	60 0.8×	53	456
Matthew J. Czarny	67 0.3×	50 0.4×	30 0.3×	62 0.6×	25 0.3×	25	484
Michael Guo	115 0.5×	55 0.5×	16 0.1×	18 0.2×	27 0.3×	32	449
Ann K. Jay	28 0.1×	17 0.1×	73 0.7×	100 1.0×	131 1.6×	36	438
Antal Zemplényi	47 0.2×	41 0.4×	45 0.4×	58 0.6×	44 0.6×	57	511
Ian Walsh	142 0.6×	30 0.3×	20 0.2×	41 0.4×	25 0.3×	52	506
Laurelie R. Wall	236 0.9×	27 0.2×	85 0.8×	66 0.6×	29 0.4×	24	487
Tina Gambling	24 0.1×	31 0.3×	51 0.5×	65 0.6×	47 0.6×	25	433
Laura McHugh	103 0.4×	71 0.6×	52 0.5×	91 0.9×	38 0.5×	20	465

Countries citing papers authored by Jennifer Dickson

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer Dickson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Dickson

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