Diane E. Sutter

1.6k citations
13 papers · 1.3k · h-index 11

Impact in

Papers in

Diane E. Sutter

13 papers receiving 1.1k citations

Peers

Diane E. Sutter
Comparison fields: 5 of 84
  • Pharmaceutical Science 467
  • Dermatology 210
  • Genetics 380
  • Immunology 198
  • Molecular Biology 616
Replace Emily D. Varnell with:
Emily D. Varnell United States
K. Wade Foster United States
Ann R. Beaton United States
Olivier Touzelet United Kingdom
Rafaela Argnani Italy
Judith Mitchell Australia
Wafa Hanna Koury Cabrera Brazil
Meg Vemulapalli United States
Frédéric Minner Belgium
April Hargrove United States
Diane E. Sutter relative to Emily D. Varnell United States Emily D. Varnell's profile →
Citations per field
00.5×2×4×6×8.1×
Emily D. Varnell · 1×
Citations per year

Countries citing papers authored by Diane E. Sutter

Since Specialization
Citations

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

Fields of papers citing papers by Diane E. Sutter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diane E. Sutter. 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 Diane E. Sutter. The network helps show where Diane E. Sutter may publish in the future.

Co-authors

The 24 scholars most cited alongside Diane E. Sutter, 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 Diane E. Sutter Line = papers co-authored together Diane E. Sutter links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2002343
2 1980278
3 1978164
4 2010131
5 1980117
6 201164
7 201159
8 197854
9 201534
10 202133
11 201512
12
Viruses as tools for studies on the molecular biology of mammalian cells.
19801
13 19781

About Diane E. Sutter

Diane E. Sutter is a scholar working on Pharmaceutical Science, Genetics, Emergency Medicine, Neurology and Molecular Biology, having authored 13 papers that have together received 1.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), Advancements in Transdermal Drug Delivery (5 papers), RNA Interference and Gene Delivery (3 papers), CRISPR and Genetic Engineering (2 papers), Intramuscular injections and effects (2 papers), Botulinum Toxin and Related Neurological Disorders (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Pharmaceutical Science (467 citations), Dermatology (210 citations), Genetics (380 citations), Immunology (198 citations) and Molecular Biology (616 citations). Diane E. Sutter has collaborated with scholars based in Germany and United States. Frequent co-authors include Walter Doerfler, Ronald J. Pettis, Noel G. Harvey, John A. Mikszta, Jason B. Alarcon, Monika Westphal, Rainer Neumann, Ingrid Kuhlmann, Lily Vardimon and Leszek Nosek. Their work appears in journals such as Diabetes Technology & Therapeutics, Journal of General Virology, Clinical and Translational Science, Nature Medicine and Nucleic Acids 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.

Explore authors with similar magnitude of impact