Shannon Kim

427 total citations · 1 hit paper
8 papers, 289 citations indexed

About

Shannon Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Shannon Kim has authored 8 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Oncology. Recurrent topics in Shannon Kim's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Colorectal Cancer Screening and Detection (2 papers) and Stress Responses and Cortisol (1 paper). Shannon Kim is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Colorectal Cancer Screening and Detection (2 papers) and Stress Responses and Cortisol (1 paper). Shannon Kim collaborates with scholars based in United States, Australia and Canada. Shannon Kim's co-authors include Sheryl A. Larson, K. Charlie Lakin, David H. Ballard, Andrea Hildebrand, Alison Chetlen, James M. Brian, Elizabeth A. Krupinski, Dhakshinamoorthy Ganeshan, Tiffany L. Chan and Keyi Liu and has published in prestigious journals such as International Journal of Molecular Sciences, American Journal of Roentgenology and Academic Radiology.

In The Last Decade

Shannon Kim

7 papers receiving 266 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Influence of Kynurenine Metabolites on Neurodegenerative Pathologies

2024 44 citations Shannon Kim, Keyi Liu et al. International Journal of Molecular Sciences profile →

Peers

Shannon Kim

GHP

PHEOH

RNMI

EDUCA

CP

Vijay Rajput United States

James W. Holsinger United States

Takuya Saiki Japan

Emma Whelan Canada

Hannah Nguyen United States

J. Castro Spain

Patrick Forrest United States

Luís Fernando Silva Castro-de-Araujo Australia

Patricia Dixon United States

D. Hollander United Kingdom

Vijay Rajput United States

Shannon Kim

64 ×0.7

GHP

122 ×1.4

PHEOH

21 ×0.2

RNMI

15 ×0.3

EDUCA

26 ×0.6

CP

Citations per year, relative to Shannon Kim Shannon Kim (= 1×) peers Vijay Rajput

Countries citing papers authored by Shannon Kim

Since Specialization

Citations

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

Fields of papers citing papers by Shannon Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shannon Kim

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Kim, Shannon, et al.. (2024). The Influence of Kynurenine Metabolites on Neurodegenerative Pathologies. International Journal of Molecular Sciences. 25(2). 853–853. 44 indexed citations breakdown →

2.

Liu, Keyi, et al.. (2024). Assessing effects of Cannabis on various neuropathologies: A systematic review. Journal of Ayurveda and Integrative Medicine. 15(3). 100911–100911. 1 indexed citations

3.

Ballard, David H., Kirsteen R. Burton, Nikita Lakomkin, et al.. (2020). The Role of Imaging in Health Screening: Overview, Rationale of Screening, and Screening Economics. Academic Radiology. 28(4). 540–547. 5 indexed citations

4.

Ballard, David H., Kirsteen R. Burton, Nikita Lakomkin, et al.. (2020). The Role of Imaging in Health Screening: Screening for Specific Conditions. Academic Radiology. 28(4). 548–563. 6 indexed citations

5.

Kim, Shannon, et al.. (2019). Breast-Specific Gamma Imaging Versus MRI: Comparing the Diagnostic Performance in Assessing Treatment Response After Neoadjuvant Chemotherapy in Patients With Breast Cancer. American Journal of Roentgenology. 212(3). 696–705. 8 indexed citations

6.

Chetlen, Alison, Tiffany L. Chan, David H. Ballard, et al.. (2018). Addressing Burnout in Radiologists. Academic Radiology. 26(4). 526–533. 118 indexed citations

7.

Kim, Shannon, et al.. (2014). Management of urinary incontinence in adults. Australian Prescriber. 37(1). 10–13.

8.

Kim, Shannon, Sheryl A. Larson, & K. Charlie Lakin. (2001). Behavioural outcomes of deinstitutionalisation for people with intellectual disability: a review of US studies conducted between 1980 and 1999. Journal of Intellectual & Developmental Disability. 26(1). 35–50. 107 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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