Deborah Heyl

1.3k citations
49 papers · 1.1k · h-index 18

Impact in

Papers in

Deborah Heyl

48 papers receiving 1.0k citations

Peers

Deborah Heyl
Comparison fields: 5 of 90
  • Microbiology 241
  • Cellular and Molecular Neuroscience 247
  • Molecular Biology 837
  • Physiology 204
  • Biomaterials 67
Replace Peter Sieber with:
Peter Sieber Switzerland
W. Mei Kok Australia
Isabelle Huvent France
Lucie Khemtémourian France
Maja Debulpaep Belgium
Justin K. Murray United States
Gianvito Grasso Switzerland
Eric Kitas Switzerland
Anthony J. Lanzetti United States
T. Johnson United Kingdom
Deborah Heyl relative to Peter Sieber Switzerland Peter Sieber's profile →
Citations per field
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Citations per year

Countries citing papers authored by Deborah Heyl

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Heyl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deborah Heyl. 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 Deborah Heyl. The network helps show where Deborah Heyl may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007128
2 2010128
3 2006102
4 199477
5 201357
6 199446
7 199433
8 202031
9 202230
10 201529
11 201428
12 202022
13 199221
14 202120
15 201620
16 201720
17 202019
18 201819
19 202016
20 202315

About Deborah Heyl

Deborah Heyl is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Physiology and Rheumatology, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (18 papers), Chemical Synthesis and Analysis (13 papers), Receptor Mechanisms and Signaling (8 papers), Alzheimer's disease research and treatments (6 papers), Nicotinic Acetylcholine Receptors Study (6 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Pharmacological Receptor Mechanisms and Effects (6 papers) and Antimicrobial Peptides and Activities (5 papers). The work is most often cited by research in Microbiology (241 citations), Cellular and Molecular Neuroscience (247 citations), Molecular Biology (837 citations), Physiology (204 citations) and Biomaterials (67 citations). Deborah Heyl has collaborated with scholars based in United States and China. Frequent co-authors include Ayyalusamy Ramamoorthy, Hedeel Guy Evans, Sathiah Thennarasu, Anmin Tan, Charles E. Shelburne, Jeffrey Brender, Henry I. Mosberg, Jeffrey Guthrie, U. Dürr and Carol Mousigian. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry, FEBS Open Bio and Biochemistry.

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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