Earl F. Albone

1.0k citations
35 papers · 729 indexed · h-index 17
Topics
Monoclonal and Polyclonal Antibodies Research (12 papers)HER2/EGFR in Cancer Research (9 papers)Glycosylation and Glycoproteins Research (7 papers)
Partner nations
United StatesJapanCanada

In The Last Decade

Earl F. Albone

35 papers receiving 687 citations

Peers

Earl F. Albone
Comparison fields: 5 of 82
  • Molecular Biology 294
  • Oncology 241
  • Radiology, Nuclear Medicine and Imaging 180
  • Organic Chemistry 144
  • Immunology 94
Replace Sangeeta Bafna with:
Sangeeta Bafna United States
Paul J. Kleindl United States
Shama Kajiji United States
Gary Li United States
D.J. Tyrrell United States
Lynsey A. Huxham Canada
Abhijit Aithal United States
Fumio Nakagawa Japan
Vessela Vassileva United Kingdom
Anatol Oleksijew United States
Earl F. Albone relative to Sangeeta Bafna United States Sangeeta Bafna's profile →
Citations per field
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Citations per year

Countries citing papers authored by Earl F. Albone

Since Specialization
Citations

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

Fields of papers citing papers by Earl F. Albone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Earl F. Albone. 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 Earl F. Albone. The network helps show where Earl F. Albone may publish in the future.

Co-authorship network of co-authors of Earl F. Albone

This figure shows the co-authorship network connecting the top 25 collaborators of Earl F. Albone. A scholar is included among the top collaborators of Earl F. Albone 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 Earl F. Albone. Earl F. Albone 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 2
2 1
3 34
4 5
5 75
6 1
7 15
8 36
9 12
10 23
11 22
12 43
13 26
14 47
15 6
16 9
17 7
18 7
19 2
20 23

About Earl F. Albone

Earl F. Albone is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Reproductive Medicine, having authored 35 papers that have together received 729 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (12 papers), HER2/EGFR in Cancer Research (9 papers) and Glycosylation and Glycoproteins Research (7 papers). The work is most often cited by research in Oncology (241 citations), Radiology, Nuclear Medicine and Imaging (180 citations) and Reproductive Medicine (43 citations). Earl F. Albone has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Xin Cheng, Luigi Grasso, Nicholas C. Nicolaides, Jared Spidel, Katherine A. Rybinski, J. Bradford Kline, Shawn Fernando, Fred K. Hagen, Lawrence A. Tabak and Elizabeth B. Somers. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Cancer Research.

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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