David Rickles

615 total citations
8 papers, 373 citations indexed

About

David Rickles is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Immunology. According to data from OpenAlex, David Rickles has authored 8 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Oncology and 3 papers in Immunology. Recurrent topics in David Rickles's work include Monoclonal and Polyclonal Antibodies Research (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). David Rickles is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). David Rickles collaborates with scholars based in Canada, United States and Germany. David Rickles's co-authors include Alan Shiell, Penelope Hawe, Ekaterina Dadachova, Kevin J. Allen, Mackenzie E. Malo, Raymond F. Carmody, Stephen Johnson, Darrell R. Fisher, Thomas Weisenburger and Ruth Bryan and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

David Rickles

8 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Rickles Canada	8	80	72	64	44	38	8	373
Bernhard Breil Germany	16	154 1.9×	42 0.6×	38 0.6×	44 1.0×	44 1.2×	47	629
Pete Philipson United Kingdom	13	37 0.5×	37 0.5×	31 0.5×	31 0.7×	21 0.6×	26	684
Pierre Blaise Belgium	11	93 1.2×	40 0.6×	11 0.2×	38 0.9×	25 0.7×	72	371
Zhenke Wu United States	11	60 0.8×	32 0.4×	34 0.5×	33 0.8×	8 0.2×	47	556
Nadav Schwartz United States	18	62 0.8×	98 1.4×	43 0.7×	130 3.0×	17 0.4×	74	1.4k
Evert-Ben van Veen Netherlands	12	61 0.8×	33 0.5×	59 0.9×	24 0.5×	16 0.4×	26	479
Travis Osterman United States	11	41 0.5×	37 0.5×	127 2.0×	59 1.3×	7 0.2×	33	504
Paul Zhang United States	11	13 0.2×	63 0.9×	39 0.6×	65 1.5×	12 0.3×	19	525
Paul Schultz Germany	17	21 0.3×	62 0.9×	110 1.7×	62 1.4×	7 0.2×	33	1.2k
Xiaoyan Jin China	13	56 0.7×	30 0.4×	34 0.5×	107 2.4×	16 0.4×	41	598

Countries citing papers authored by David Rickles

Since Specialization

Citations

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

Fields of papers citing papers by David Rickles

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Rickles

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

All Works

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8 of 8 papers shown

Malo, Mackenzie E., et al.. (2020). Mechanistic Insights into Synergy between Melanin-Targeting Radioimmunotherapy and Immunotherapy in Experimental Melanoma. International Journal of Molecular Sciences. 21(22). 8721–8721. 15 indexed citations

Allen, Kevin J., et al.. (2020). Evaluating the Combination of Radioimmunotherapy and Immunotherapy in a Melanoma Mouse Model. International Journal of Molecular Sciences. 21(3). 773–773. 27 indexed citations

Allen, Kevin J., Mackenzie E. Malo, Muath Helal, et al.. (2019). Evaluation of novel highly specific antibodies to cancer testis antigen Centrin‐1 for radioimmunoimaging and radioimmunotherapy of pancreatic cancer. Cancer Medicine. 8(11). 5289–5300. 9 indexed citations

Allen, Kevin J., et al.. (2019). Comparative Radioimmunotherapy of Experimental Melanoma with Novel Humanized Antibody to Melanin Labeled with 213Bismuth and 177Lutetium. Pharmaceutics. 11(7). 348–348. 21 indexed citations

Nosanchuk, Joshua D., Anandhi Ray, Ekaterina Revskaya, et al.. (2018). Structure-function analysis and therapeutic efficacy of antibodies to fungal melanin for melanoma radioimmunotherapy. Scientific Reports. 8(1). 5466–5466. 23 indexed citations

Rickles, David, Penelope Hawe, & Alan Shiell. (2007). A simple guide to chaos and complexity. Journal of Epidemiology & Community Health. 61(11). 933–937. 245 indexed citations

Carmody, Raymond F., David Rickles, & Stephen Johnson. (1983). Giant Cell Tumor of the Sphenoid Bone. Journal of Computer Assisted Tomography. 7(2). 370–373. 21 indexed citations

Weisenburger, Thomas, Frederick R. Eilber, Todd T. Grant, et al.. (1981). Multidisiciplinary “limb salvage” treatment of soft tissue and skeletal sarcomas. International Journal of Radiation Oncology*Biology*Physics. 7(11). 1495–1499. 12 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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