Deborah Heyl

1.2k total citations
48 papers, 1.0k citations indexed

About

Deborah Heyl is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Deborah Heyl has authored 48 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 21 papers in Cellular and Molecular Neuroscience and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Deborah Heyl's work include Neuropeptides and Animal Physiology (18 papers), Chemical Synthesis and Analysis (14 papers) and Receptor Mechanisms and Signaling (8 papers). Deborah Heyl is often cited by papers focused on Neuropeptides and Animal Physiology (18 papers), Chemical Synthesis and Analysis (14 papers) and Receptor Mechanisms and Signaling (8 papers). Deborah Heyl collaborates with scholars based in United States and China. Deborah Heyl's co-authors include Ayyalusamy Ramamoorthy, Hedeel Guy Evans, Henry I. Mosberg, Jeffrey Brender, Sathiah Thennarasu, Charles E. Shelburne, Anmin Tan, Jeffrey Guthrie, U. Dürr and Carol Mousigian and has published in prestigious journals such as Biochemistry, Scientific Reports and FEBS Letters.

In The Last Decade

Deborah Heyl

47 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Deborah Heyl United States 18 836 255 240 211 94 48 1.0k
Raffaele Ingenito Italy 13 606 0.7× 142 0.6× 63 0.3× 190 0.9× 256 2.7× 21 1.1k
Lucie Khemtémourian France 19 861 1.0× 50 0.2× 131 0.5× 767 3.6× 93 1.0× 43 1.3k
Gianvito Grasso Switzerland 20 485 0.6× 68 0.3× 40 0.2× 175 0.8× 48 0.5× 48 806
T. Johnson United Kingdom 10 1.3k 1.6× 552 2.2× 87 0.4× 122 0.6× 333 3.5× 16 1.5k
Paavo K.J. Kinnunen Finland 18 505 0.6× 36 0.1× 101 0.4× 86 0.4× 48 0.5× 26 1.0k
Nicholas A. Saccomano United States 14 707 0.8× 199 0.8× 46 0.2× 44 0.2× 151 1.6× 22 972
Justin K. Murray United States 16 793 0.9× 73 0.3× 91 0.4× 62 0.3× 314 3.3× 24 939
W. Mei Kok Australia 14 448 0.5× 61 0.2× 36 0.1× 224 1.1× 142 1.5× 20 729
Peter Sieber Switzerland 19 1.2k 1.4× 186 0.7× 77 0.3× 52 0.2× 644 6.9× 34 1.5k
Brian R. Hearn United States 17 811 1.0× 106 0.4× 30 0.1× 90 0.4× 216 2.3× 30 1.4k

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-authorship network of co-authors of Deborah Heyl

This figure shows the co-authorship network connecting the top 25 collaborators of Deborah Heyl. A scholar is included among the top collaborators of Deborah Heyl 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 Deborah Heyl. Deborah Heyl 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
2.
Guthrie, Jeffrey, et al.. (2024). The role of leptin in regulation of the soluble amyloid precursor protein α (sAPPα) levels in lung cancer cell media. Scientific Reports. 14(1). 4921–4921. 3 indexed citations
3.
Guthrie, Jeffrey, et al.. (2023). Regulation of Soluble E-Cadherin Signaling in Non-Small-Cell Lung Cancer Cells by Nicotine, BDNF, and β-Adrenergic Receptor Ligands. Biomedicines. 11(9). 2555–2555. 5 indexed citations
5.
Guthrie, Jeffrey, et al.. (2022). Opposing Roles of IGFBP-3 and Heparanase in Regulating A549 Lung Cancer Cell Survival. Cells. 11(22). 3533–3533. 7 indexed citations
6.
7.
Evans, Hedeel Guy, et al.. (2015). Humanin Peptide Binds to Insulin-Like Growth Factor-Binding Protein 3 (IGFBP3) and Regulates Its Interaction with Importin-β. Protein and Peptide Letters. 22(10). 869–876. 29 indexed citations
8.
Brender, Jeffrey, et al.. (2013). Membrane disordering is not sufficient for membrane permeabilization by islet amyloid polypeptide: studies of IAPP(20–29) fragments. Physical Chemistry Chemical Physics. 15(23). 8908–8908. 57 indexed citations
9.
Thennarasu, Sathiah, et al.. (2010). Antimicrobial and Membrane Disrupting Activities of a Peptide Derived from the Human Cathelicidin Antimicrobial Peptide LL37. Biophysical Journal. 98(2). 248–257. 125 indexed citations
10.
Brender, Jeffrey, et al.. (2007). Membrane fragmentation by an amyloidogenic fragment of human Islet Amyloid Polypeptide detected by solid-state NMR spectroscopy of membrane nanotubes. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1768(9). 2026–2029. 127 indexed citations
11.
Heyl, Deborah, et al.. (2005). Peptide Inhibitors of a-Amylase Based on Tendamistat: Development of Analogues with ϖ-Amino Acids Linking Critical Binding Segments. Protein and Peptide Letters. 12(3). 275–280. 2 indexed citations
12.
Heyl, Deborah, et al.. (2005). Correlation of LUMO localization with the α-amylase inhibition constant in a Tendamistat-based series of linear and cyclic peptides. Bioorganic & Medicinal Chemistry. 13(13). 4262–4268. 7 indexed citations
13.
Heyl, Deborah, et al.. (2003). pKa and Volume of residue one influence δ/μ opioid binding: QSAR analysis of tyrosine replacement in a nonselective deltorphin analogue. Bioorganic & Medicinal Chemistry. 11(17). 3761–3768. 6 indexed citations
14.
Schullery, Stephen E., et al.. (2001). The role of backbone conformation in deltorphin II binding: A QSAR study of new analogues modified in the 5-, 6-positions of the address domain. Bioorganic & Medicinal Chemistry. 9(10). 2633–2642. 7 indexed citations
15.
Mosberg, Henry I., Andrei L. Lomize, Chenguang Wang, et al.. (1994). Development of a Model for the .delta. Opioid Receptor Pharmacophore. 1. Conformationally Restricted Tyr1 Replacements in the Cyclic .delta. Receptor Selective Tetrapeptide Tyr-c[D-Cys-Phe-D-Pen]OH (JOM-13). Journal of Medicinal Chemistry. 37(25). 4371–4383. 78 indexed citations
16.
Mosberg, Henry I., John R. Omnaas, Andrei L. Lomize, et al.. (1994). Development of a Model for the .delta. Opioid Receptor Pharmacophore. 2. Conformationally Restricted Phe3 Replacements in the Cyclic .delta. Receptor Selective Tetrapeptide Tyr-c[D-Cys-Phe-D-Pen]OH (JOM-13). Journal of Medicinal Chemistry. 37(25). 4384–4391. 47 indexed citations
17.
Heyl, Deborah, et al.. (1994). Substitution of aromatic and nonaromatic amino acids for the Phe3residue in the δ‐selective opioid peptide deltorphin I: Effects on binding affinity and selectivity. International journal of peptide & protein research. 44(5). 420–426. 10 indexed citations
18.
Heyl, Deborah & Henry I. Mosberg. (1992). Modification of the Phe3aromatic moiety in delta receptor‐selective dermorphin/deltorphin‐related tetrapeptides Effects on opioid receptor binding. International journal of peptide & protein research. 39(5). 450–457. 13 indexed citations
20.
Heyl, Deborah, John R. Omnaas, Katarzyna Sobczyk‐Kojiro, et al.. (1991). Opioid receptor affinity and selectivity effects of second residue and carboxy terminal residue variation in a cyclic disulfide‐containing opioid tetrapeptide. International journal of peptide & protein research. 37(3). 224–229. 7 indexed citations

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

Rankless by CCL
2026