Justin Glavis‐Bloom

1.2k citations
41 papers · 860 indexed · h-index 17
Topics
Prostate Cancer Diagnosis and Treatment (6 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)Renal cell carcinoma treatment (5 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Justin Glavis‐Bloom

38 papers receiving 856 citations

Peers

Justin Glavis‐Bloom
Comparison fields: 5 of 122
  • Infectious Diseases 303
  • Epidemiology 148
  • Radiology, Nuclear Medicine and Imaging 130
  • Pulmonary and Respiratory Medicine 115
  • Nutrition and Dietetics 104
Replace Cristina Mussini with:
Cristina Mussini Italy
Ann Bull Australia
Dominic Wichmann Germany
Saroj K. Mishra United States
James G. Johnson United States
Brendan J. Kelly United States
Miriam Stegemann Germany
Bradly P. Nicholson United States
J. G. Fox United Kingdom
Meng‐Rui Lee Taiwan
Justin Glavis‐Bloom relative to Cristina Mussini Italy Cristina Mussini's profile →
Citations per field
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Cristina Mussini · 1×
Citations per year

Countries citing papers authored by Justin Glavis‐Bloom

Since Specialization
Citations

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

Fields of papers citing papers by Justin Glavis‐Bloom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin Glavis‐Bloom. 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 Justin Glavis‐Bloom. The network helps show where Justin Glavis‐Bloom may publish in the future.

Co-authorship network of co-authors of Justin Glavis‐Bloom

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 2
4 20
5 1
6 2
7 11
8 11
9 33
10 13
11 0
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14 4
15
Surveillance of Travel-Related Mosquito-borne Illness in Rhode Island.
2
16 10
17 29
18 51
19 16
20 31

About Justin Glavis‐Bloom

Justin Glavis‐Bloom is a scholar working on Aging, Health Informatics and Infectious Diseases, having authored 41 papers that have together received 860 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Renal cell carcinoma treatment (5 papers). The work is most often cited by research in Aging (29 citations), Infectious Diseases (303 citations) and Health Informatics (16 citations). Justin Glavis‐Bloom has collaborated with scholars based in United States, Bangladesh and Canada. Frequent co-authors include Eleftherios Mylonakis, Maged Muhammed, Marios Arvanitis, Adam C. Levine, Athanasios Desalermos, Roozbeh Houshyar, Daniel Chow, Peter Chang, Jeffrey J. Coleman and Theodora Anagnostou. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

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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