Gregory Bloom

29 papers receiving 1.5k citations

Peers

Gregory Bloom
Comparison fields: 5 of 91
  • Cancer Research 500
  • Oncology 409
  • Radiology, Nuclear Medicine and Imaging 267
  • Otorhinolaryngology 50
  • Molecular Biology 737
Replace Maud H. W. Starmans with:
Maud H. W. Starmans Netherlands
Michael Allgäuer Germany
Mohamed E. Abazeed United States
Kathy Han Canada
Hong Ge China
John S. Yordy United States
T. Khanh United States
Zelanna Goldberg United States
Nicholas H. A. Terry United States
Frances Daley United Kingdom
Gregory Bloom relative to Maud H. W. Starmans Netherlands Maud H. W. Starmans's profile →
Citations per field
00.5×1.5×1.9×
Maud H. W. Starmans · 1×
Citations per year

Countries citing papers authored by Gregory Bloom

Since Specialization
Citations

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

Fields of papers citing papers by Gregory Bloom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gregory Bloom, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gregory Bloom Line = papers co-authored together Gregory Bloom links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009232
2 2009190
3 2005173
4 2012143
5 2009115
6 200584
7 201273
8 201367
9 200456
10 201544
11 200544
12 201038
13 200635
14 200534
15 201530
16 201220
17 200219
18 201117
19 201017
20 200216

About Gregory Bloom

Gregory Bloom is a scholar working on Cancer Research, Virology, Oncology, Hematology and Geriatrics and Gerontology, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Gene expression and cancer classification (9 papers), Bioinformatics and Genomic Networks (5 papers), Molecular Biology Techniques and Applications (4 papers), Cancer Genomics and Diagnostics (4 papers), Colorectal Cancer Treatments and Studies (3 papers), Genetic factors in colorectal cancer (3 papers), RNA Research and Splicing (3 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Cancer Research (500 citations), Oncology (409 citations), Radiology, Nuclear Medicine and Imaging (267 citations), Otorhinolaryngology (50 citations) and Molecular Biology (737 citations). Gregory Bloom has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Steven A. Eschrich, Timothy J. Yeatman, Javier F. Torres–Roca, David Boulware, Ji‐Hyun Lee, Haiyan Zhao, Susan McCarthy, Hongling Zhang, Richard Jove and Domenico Coppola. Their work appears in journals such as PLoS ONE, Clinical Cancer Research, International Journal of Radiation Oncology*Biology*Physics, Cancer Research and Molecular Carcinogenesis.

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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