Janet S. Reddin

803 total citations
13 papers, 628 citations indexed

About

Janet S. Reddin is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Cognitive Neuroscience. According to data from OpenAlex, Janet S. Reddin has authored 13 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Cognitive Neuroscience. Recurrent topics in Janet S. Reddin's work include Medical Imaging Techniques and Applications (5 papers), Radiation Dose and Imaging (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Janet S. Reddin is often cited by papers focused on Medical Imaging Techniques and Applications (5 papers), Radiation Dose and Imaging (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Janet S. Reddin collaborates with scholars based in United States, Sweden and Germany. Janet S. Reddin's co-authors include Andrew B. Newberg, John A. Detre, Erik S. Musiek, David A. Wolk, Per Julin, Steven E. Arnold, Marc Korczykowski, Abass Alavi, Patricia Martínez‐Sánchez and Joel Greenberg and has published in prestigious journals such as Journal of Clinical Oncology, Neurology and Journal of Nuclear Medicine.

In The Last Decade

Janet S. Reddin

11 papers receiving 619 citations

Peers

Janet S. Reddin
Comparison fields: 5 of 76
  • Radiology, Nuclear Medicine and Imaging 433
  • Pulmonary and Respiratory Medicine 176
  • Cognitive Neuroscience 133
  • Psychiatry and Mental health 107
  • Physiology 81
Replace Andreas Delker with:
Andreas Delker Germany
Florian Schiller Germany
Paulo A. Carvalho United States
Michael Germuska United Kingdom
Karl Peter Bohn Switzerland
Eline E. Verwer Netherlands
Jean Léveillé Canada
Teréz Séra Hungary
Claire Bernard Belgium
Isabelle Stangier Germany
Andreas Delker Germany View profile →
Citations per field, relative to Janet S. Reddin
Janet S. Reddin · 1×
Citations per year, relative to Janet S. Reddin
Janet S. Reddin · 1×

Countries citing papers authored by Janet S. Reddin

Since Specialization
Citations

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

Fields of papers citing papers by Janet S. Reddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janet S. Reddin. 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 Janet S. Reddin. The network helps show where Janet S. Reddin may publish in the future.

Co-authorship network of co-authors of Janet S. Reddin

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

All Works

13 of 13 papers shown
# Work Indexed citations
1 0
2 14
3 32
4 14
5 1
6 18
7
Quantitative evaluation of Monte Carlo scaling applied to Single Scatter Simulation (SSS-MC)
1
8 0
9 9
10 142
11 139
12 210
13 48

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026