Edwin A. Azen

2.2k citations
69 papers · 1.9k · h-index 28

Impact in

    • Oral microbiology and periodontitis research
    • Antimicrobial Peptides and Activities

Papers in

    • Salivary Gland Disorders and Functions 31
    • RNA and protein synthesis mechanisms 9
    • Machine Learning in Bioinformatics 6
    • Glycosylation and Glycoproteins Research 4

Edwin A. Azen

69 papers receiving 1.8k citations

Peers

Edwin A. Azen
Comparison fields: 5 of 102
  • Periodontics 298
  • Microbiology 284
  • Physiology 927
  • Sensory Systems 121
  • Molecular Biology 950
Replace Kazuo Sanada with:
Kazuo Sanada Japan
Márta Széll Hungary
Ursula Bretz Japan
Takayuki Tsukuba Japan
J I Gallin United States
Eiko Sakai Japan
Yasuko Ishikawa Japan
Vincenzo Mitolo Italy
R P Siraganian United States
A Köck Austria
Edwin A. Azen relative to Kazuo Sanada Japan Kazuo Sanada's profile →
Citations per field
00.5×6.7×
Kazuo Sanada · 1×
Citations per year

Countries citing papers authored by Edwin A. Azen

Since Specialization
Citations

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

Fields of papers citing papers by Edwin A. Azen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edwin A. Azen. 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 Edwin A. Azen. The network helps show where Edwin A. Azen may publish in the future.

Co-authors

The 25 scholars most cited alongside Edwin A. Azen, 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 Edwin A. Azen Line = papers co-authored together Edwin A. Azen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985123
2 197387
3 198973
4 196867
5 197464
6 198963
7 198458
8 199256
9 197256
10 197848
11 198846
12 197346
13 199344
14 198941
15 198140
16 198040
17 197939
18 199338
19 199135
20
STARCH-GEL ELECTROPHORESIS OF ERYTHROCYTE STROMA.
196535

About Edwin A. Azen

Edwin A. Azen is a scholar working on Physiology, Molecular Biology, Nutrition and Dietetics, Genetics and Cell Biology, having authored 69 papers that have together received 1.9k indexed citations. Recurring topics across this work include Salivary Gland Disorders and Functions (31 papers), Biochemical Analysis and Sensing Techniques (9 papers), RNA and protein synthesis mechanisms (9 papers), Machine Learning in Bioinformatics (6 papers), Olfactory and Sensory Function Studies (5 papers), Oral microbiology and periodontitis research (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Bone and Dental Protein Studies (4 papers). The work is most often cited by research in Periodontics (298 citations), Microbiology (284 citations), Physiology (927 citations), Sensory Systems (121 citations) and Molecular Biology (950 citations). Edwin A. Azen has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Oliver Smithies, Linda M. Sabatini, Carter Denniston, Frank G. Oppenheim, T. Warner, Nobuo Maeda, Pao‐Lo Yu, Eiichi Saitoh, Patricia A. Goodman and Karen M. Lyons. Their work appears in journals such as Biochemical Genetics, Science, Cytogenetic and Genome Research, Mammalian Genome and British Journal of Haematology.

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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