Adam Casson

703 total citations
3 papers, 59 citations indexed

About

Adam Casson is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Adam Casson has authored 3 papers receiving a total of 59 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Artificial Intelligence. Recurrent topics in Adam Casson's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Prostate Cancer Diagnosis and Treatment (2 papers) and AI in cancer detection (2 papers). Adam Casson is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Prostate Cancer Diagnosis and Treatment (2 papers) and AI in cancer detection (2 papers). Adam Casson collaborates with scholars based in United States and United Kingdom. Adam Casson's co-authors include Brandon Rothrock, Julian Viret, Jorge S. Reis‐Filho, Juan Antonio Retámero, Victor E. Reuter, Jillian Sue, Thomas J. Fuchs, Christopher Kanan, Patricia Raciti and Donghun Lee and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Archives of Pathology & Laboratory Medicine.

In The Last Decade

Adam Casson

3 papers receiving 59 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Adam Casson United States	2	39	30	16	14	8	3	59
Julian Viret United States	2	37 0.9×	30 1.0×	14 0.9×	12 0.9×	8 1.0×	4	56
Alexander Chowdhury United Kingdom	4	48 1.2×	27 0.9×	15 0.9×	13 0.9×	5 0.6×	4	89
Subbaram Naidu United States	4	30 0.8×	42 1.4×	22 1.4×	24 1.7×	6 0.8×	6	100
Dennis Bontempi United States	4	34 0.9×	70 2.3×	20 1.3×	20 1.4×	6 0.8×	10	109
Nirza Mukhia India	4	18 0.5×	17 0.6×	9 0.6×	7 0.5×	7 0.9×	5	58
Amel Amalou United States	5	22 0.6×	37 1.2×	6 0.4×	21 1.5×	14 1.8×	6	72
Ananth Reddy Bhimireddy United States	3	35 0.9×	26 0.9×	8 0.5×	10 0.7×	12 1.5×	5	54
Henrik Marklund United States	3	30 0.8×	22 0.7×	12 0.8×	6 0.4×	12 1.5×	3	54
Shu‐E Zeng China	6	48 1.2×	80 2.7×	27 1.7×	17 1.2×	14 1.8×	9	114
Abtin Riasatian Canada	6	74 1.9×	50 1.7×	11 0.7×	9 0.6×	17 2.1×	7	103

Countries citing papers authored by Adam Casson

Since Specialization

Citations

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

Fields of papers citing papers by Adam Casson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Casson

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

All Works

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3 of 3 papers shown

1.

Raciti, Patricia, Jillian Sue, Juan Antonio Retámero, et al.. (2022). Clinical Validation of Artificial Intelligence–Augmented Pathology Diagnosis Demonstrates Significant Gains in Diagnostic Accuracy in Prostate Cancer Detection. Archives of Pathology & Laboratory Medicine. 147(10). 1178–1185. 54 indexed citations

2.

Hanna, Matthew G., Patricia Raciti, Ran Godrich, et al.. (2021). Abstract PD6-03: Clinical-grade detection of breast cancer in biopsies and excisions using machine learning. Cancer Research. 81(4_Supplement). PD6–3. 1 indexed citations

3.

Dogdas, Belma, Christopher Kanan, Patricia Raciti, et al.. (2020). Computational pathological identification of prostate cancer following neoadjuvant treatment.. Journal of Clinical Oncology. 38(15_suppl). e14052–e14052. 4 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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