Marissa C. Bradley

471 citations
3 papers · 14 indexed · h-index 3
Topics
Radiomics and Machine Learning in Medical Imaging (1 paper)SARS-CoV-2 and COVID-19 Research (1 paper)Medical Imaging Techniques and Applications (1 paper)
Partner nations
United States

In The Last Decade

Marissa C. Bradley

3 papers receiving 14 citations

Peers

Marissa C. Bradley
Comparison fields: 5 of 15
  • Infectious Diseases 5
  • Pulmonary and Respiratory Medicine 4
  • Surgery 3
  • Immunology 3
  • Critical Care and Intensive Care Medicine 2
Replace Seyedeh Yasaman Alemohammad with:
Seyedeh Yasaman Alemohammad United States
Achim Grünewaldt Germany
Trust Odia Australia
Kaiyun Ding China
Shubham Sharma India
Simon Jamard France
Dayna Wyatt United States
J. Brookes United Kingdom
Jared Block United States
Christina Schultz United States
Marissa C. Bradley relative to Seyedeh Yasaman Alemohammad United States Seyedeh Yasaman Alemohammad's profile →
Citations per field
00.5×1.7×
Seyedeh Yasaman Alemohammad · 1×
Citations per year

Countries citing papers authored by Marissa C. Bradley

Since Specialization
Citations

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

Fields of papers citing papers by Marissa C. Bradley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marissa C. Bradley. 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 Marissa C. Bradley. The network helps show where Marissa C. Bradley may publish in the future.

Co-authorship network of co-authors of Marissa C. Bradley

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

All Works

About Marissa C. Bradley

Marissa C. Bradley is a scholar working on Infectious Diseases, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 3 papers that have together received 14 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (2 citations), Infectious Diseases (5 citations) and Immunology (3 citations). Marissa C. Bradley has collaborated with scholars based in United States. Frequent co-authors include Anne Moscona, Teddy John Wohlbold, Brett R. Anderson, Ann L. Brown, Ksenia Rybkina, Julia Davis‐Porada, Joshua D. Milner, Wenzhao Meng, Eline T. Luning Prak and Thomas J. Connors. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Immunology and Canadian Association of Radiologists Journal.

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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