James R. DeBloom

407 citations
13 papers · 257 indexed · h-index 8
Topics
Cutaneous Melanoma Detection and Management (5 papers)Melanoma and MAPK Pathways (4 papers)Cancer Genomics and Diagnostics (3 papers)
Partner nations
United States

In The Last Decade

James R. DeBloom

13 papers receiving 250 citations

Peers

James R. DeBloom
Comparison fields: 5 of 46
  • Oncology 147
  • Epidemiology 78
  • Molecular Biology 74
  • Surgery 60
  • Dermatology 59
Replace Francisco Cuéllar with:
Francisco Cuéllar Spain
Ausilia Maria Manganoni Italy
Barbara Alfaioli Italy
Allison Hanlon United States
Alde Carlo P. Gavino United States
G. Ghigliotti Italy
Laura Del Regno Italy
Patrick W. Blake United States
Katharina H. Susek Sweden
Mirella Giangiacomi Italy
James R. DeBloom relative to Francisco Cuéllar Spain Francisco Cuéllar's profile →
Citations per field
00.5×7.5×
Francisco Cuéllar · 1×
Citations per year

Countries citing papers authored by James R. DeBloom

Since Specialization
Citations

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

Fields of papers citing papers by James R. DeBloom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James R. DeBloom. 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 James R. DeBloom. The network helps show where James R. DeBloom may publish in the future.

Co-authorship network of co-authors of James R. DeBloom

This figure shows the co-authorship network connecting the top 25 collaborators of James R. DeBloom. A scholar is included among the top collaborators of James R. DeBloom 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 James R. DeBloom. James R. DeBloom 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
#WorkIndexed citations
1 6
2 27
3 1
4 66
5 41
6 40
7 8
8 10
9 34
10 11
11
Flow cytometric DNA analysis of specimen mammography-guided fine-needle aspirates of ductal carcinoma in situ.
1
12
Flow cytometric DNA analyses of benign breast lesions detected by screening mammography.
7
13
Flow cytometric DNA analysis of invasive carcinomas detected by screening mammography: use of specimen mammography-guided fine-needle aspirates.
5

About James R. DeBloom

James R. DeBloom is a scholar working on Oncology, Cancer Research and Dermatology, having authored 13 papers that have together received 257 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (5 papers), Melanoma and MAPK Pathways (4 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Dermatology (59 citations), Oncology (147 citations) and Hematology (36 citations). James R. DeBloom has collaborated with scholars based in United States. Frequent co-authors include John A. Zitelli, David G. Brodland, Hobart W. Walling, Marta J. Van Beek, Kelly M. McMasters, Eddy C. Hsueh, Robert W. Cook, Kyle R. Covington, Duane C. Whitaker and Craig L. Slingluff. Their work appears in journals such as Journal of Clinical Oncology, Journal of the American Academy of Dermatology and Journal of Hematology & Oncology.

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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