Elizabeth J. Sullivan

1.7k citations
17 papers · 1.2k indexed · 1 hit paper · h-index 8

Elizabeth J. Sullivan

16 papers receiving 1.1k citations

Hit Papers

Light-generated oligonucleotide arrays for rapid DNA sequ...9981994202620042015250500750

Peers

Elizabeth J. Sullivan
Comparison fields: 5 of 108
  • Molecular Biology 889
  • Cancer Research 107
  • Biomedical Engineering 253
  • Genetics 142
  • Infectious Diseases 81
Replace Anthony Berno with:
Anthony Berno United States
L J Kienker United States
Uwe R. Müller United States
Birgitta R. Knudsen Denmark
Yijun Gu China
Timothy J. Wilson United Kingdom
Kalim U. Mir United Kingdom
Fuyuki Tokumasu United States
Hatim T. Allawi United States
А. С. Заседателев Russia
Elizabeth J. Sullivan relative to Anthony Berno United States Anthony Berno's profile →
Citations per field
00.5×4.8×
Anthony Berno · 1×
Citations per year

Countries citing papers authored by Elizabeth J. Sullivan

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth J. Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elizabeth J. Sullivan. 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 Elizabeth J. Sullivan. The network helps show where Elizabeth J. Sullivan may publish in the future.

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 20235
2 20141
3 201342
4 201267
5 20001
6 19981
7 19971
8
Light-generated oligonucleotide arrays for rapid DNA sequence analysis.breakdown →
1994998
9 19741
10 19724
11 19713
12 19718
13 197118
14 19689
15
Simplified procedure for in situ embedding of cell monolayers for electron microscopy.
19681
16 196729
17 196346

About Elizabeth J. Sullivan

Elizabeth J. Sullivan is a scholar working on Infectious Diseases, Biotechnology and Genetics, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (6 papers), Virus-based gene therapy research (6 papers), Respiratory viral infections research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Geophysical and Geoelectrical Methods (2 papers), Animal Disease Management and Epidemiology (2 papers), Cancer Research and Treatments (1 paper) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper). The work is most often cited by research in Molecular Biology (889 citations), Cancer Research (107 citations) and Biomedical Engineering (253 citations). Elizabeth J. Sullivan has collaborated with scholars based in United States, India and Taiwan. Frequent co-authors include Dennis Solas, M Cronin, Stephen P. A. Fodor, Christopher P. Holmes, Théodore J. Lampidis, E. A. Edwards, I. A. Phillips, Randall Brenneman, Metin Kurtoğlu and Huaping Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and American Journal of Epidemiology.

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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