Ann Hermone

914 total citations
15 papers, 759 citations indexed

About

Ann Hermone is a scholar working on Molecular Biology, Neurology and Organic Chemistry. According to data from OpenAlex, Ann Hermone has authored 15 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Neurology and 4 papers in Organic Chemistry. Recurrent topics in Ann Hermone's work include Botulinum Toxin and Related Neurological Disorders (6 papers), Biochemical and Structural Characterization (4 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Ann Hermone is often cited by papers focused on Botulinum Toxin and Related Neurological Disorders (6 papers), Biochemical and Structural Characterization (4 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Ann Hermone collaborates with scholars based in United States, France and Serbia. Ann Hermone's co-authors include Rick Gussio, James C. Burnett, Connor F. McGrath, Tam Luong Nguyen, Daniel Zaharevitz, Peter Wipf, Sina Bavari, James J. Schmidt, Billy W. Day and Ernest Hamel and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Ann Hermone

15 papers receiving 734 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ann Hermone United States	11	418	237	216	99	86	15	759
Torsten Helting Germany	16	582 1.4×	286 1.2×	147 0.7×	29 0.3×	45 0.5×	27	934
Liangzhong Lim Singapore	20	832 2.0×	362 1.5×	23 0.1×	37 0.4×	39 0.5×	39	1.2k
Kyoung‐Jae Choi United States	16	614 1.5×	67 0.3×	68 0.3×	15 0.2×	64 0.7×	27	810
Jean Vizzavona France	12	466 1.1×	17 0.1×	133 0.6×	95 1.0×	35 0.4×	18	741
D. Ogg United Kingdom	16	673 1.6×	14 0.1×	150 0.7×	81 0.8×	136 1.6×	23	990
Emma E. Watson Australia	12	538 1.3×	31 0.1×	305 1.4×	89 0.9×	23 0.3×	27	682
Morten O. Christensen Germany	16	833 2.0×	27 0.1×	80 0.4×	191 1.9×	27 0.3×	24	1.0k
Bryan H. Thurtle-Schmidt United States	8	1.3k 3.1×	26 0.1×	192 0.9×	259 2.6×	47 0.5×	12	1.4k
John Shanks United States	16	1.0k 2.5×	19 0.1×	101 0.5×	244 2.5×	61 0.7×	24	1.3k
Leonardus M. I. Koharudin United States	18	610 1.5×	17 0.1×	116 0.5×	23 0.2×	42 0.5×	34	833

Countries citing papers authored by Ann Hermone

Since Specialization

Citations

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

Fields of papers citing papers by Ann Hermone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ann Hermone

This figure shows the co-authorship network connecting the top 25 collaborators of Ann Hermone. A scholar is included among the top collaborators of Ann Hermone 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 Ann Hermone. Ann Hermone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Peyser, Brian D., Ann Hermone, Joseph M. Salamoun, et al.. (2019). Specific RITA Modification Produces Hyperselective Cytotoxicity While Maintaining In Vivo Antitumor Efficacy. Molecular Cancer Therapeutics. 18(10). 1765–1774. 5 indexed citations

Burnett, James C., Chaemin Lim, Brian D. Peyser, et al.. (2017). A threonine turnstile defines a dynamic amphiphilic binding motif in the AAA ATPase p97 allosteric binding site. Organic & Biomolecular Chemistry. 15(19). 4096–4114. 13 indexed citations

Hermone, Ann & Rick Gussio. (2013). Calculation Methods for the Enhancement of Pharmaceutical Properties in Small Molecules: Estimating the Cationic pKa. Current Pharmaceutical Design. 19(23). 4310–4315. 1 indexed citations

Chen, David Y., Brian A. Van Tine, Adam C. Searleman, et al.. (2011). A Pharmacologic Inhibitor of the Protease Taspase1 Effectively Inhibits Breast and Brain Tumor Growth. Cancer Research. 72(3). 736–746. 35 indexed citations

Burnett, James C., Jonathan E. Nuss, Tam Luong Nguyen, et al.. (2009). Pharmacophore-guided lead optimization: The rational design of a non-zinc coordinating, sub-micromolar inhibitor of the botulinum neurotoxin serotype a metalloprotease. Bioorganic & Medicinal Chemistry Letters. 19(19). 5811–5813. 37 indexed citations

Hermone, Ann, James C. Burnett, Jonathan E. Nuss, et al.. (2008). Three‐Dimensional Database Mining Identifies a Unique Chemotype that Unites Structurally Diverse Botulinum Neurotoxin Serotype A Inhibitors in a Three‐Zone Pharmacophore. ChemMedChem. 3(12). 1905–1912. 26 indexed citations

Nguyen, Tam Luong, Rekha G. Panchal, Igor A. Topol, et al.. (2007). A theoretical study of anthrax lethal factor inhibition by a set of novel carbamimidolyl-aryl-vinyl-carboxamidines: A possible mechanism involving zinc-ligation by amidine. Journal of Molecular Structure THEOCHEM. 821(1-3). 139–144. 3 indexed citations

Burnett, James C., Dejan Opsenica, K. Sriraghavan, et al.. (2007). A Refined Pharmacophore Identifies Potent 4-Amino-7-chloroquinoline-Based Inhibitors of the Botulinum Neurotoxin Serotype A Metalloprotease. Journal of Medicinal Chemistry. 50(9). 2127–2136. 43 indexed citations

Burnett, James C., Gordon Ruthel, Christian M. Stegmann, et al.. (2006). Inhibition of Metalloprotease Botulinum Serotype A from a Pseudo-peptide Binding Mode to a Small Molecule That Is Active in Primary Neurons. Journal of Biological Chemistry. 282(7). 5004–5014. 85 indexed citations

10.

Nguyen, Tam Luong, Guy Schoehn, Winfríed Weissenhorn, et al.. (2005). An all-atom model of the pore-like structure of hexameric VP40 from Ebola: Structural insights into the monomer–hexamer transition. Journal of Structural Biology. 151(1). 30–40. 18 indexed citations

11.

Nguyen, Tam Luong, Connor F. McGrath, Ann Hermone, et al.. (2005). A Common Pharmacophore for a Diverse Set of Colchicine Site Inhibitors Using a Structure-Based Approach. Journal of Medicinal Chemistry. 48(19). 6107–6116. 254 indexed citations

12.

Nguyen, Tam Luong, Connor F. McGrath, Ann Hermone, et al.. (2005). A Common Pharmacophore for a Diverse Set of Colchicine Site Inhibitors Using a Structure-Based Approach.. Journal of Medicinal Chemistry. 48(24). 7917–7917. 10 indexed citations

13.

Burnett, James C., James J. Schmidt, Connor F. McGrath, et al.. (2004). Conformational sampling of the botulinum neurotoxin serotype a light chain: implications for inhibitor binding. Bioorganic & Medicinal Chemistry. 13(2). 333–341. 34 indexed citations

14.

Burnett, James C., James J. Schmidt, Robert G. Stafford, et al.. (2003). Novel small molecule inhibitors of botulinum neurotoxin A metalloprotease activity. Biochemical and Biophysical Research Communications. 310(1). 84–93. 77 indexed citations

15.

Panchal, Rekha G., Ann Hermone, Tam L. Nguyen, et al.. (2003). Identification of small molecule inhibitors of anthrax lethal factor. Nature Structural & Molecular Biology. 11(1). 67–72. 118 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.

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