Henry A. Havel

1.6k total citations
36 papers, 1.3k citations indexed

About

Henry A. Havel is a scholar working on Molecular Biology, Spectroscopy and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Henry A. Havel has authored 36 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Spectroscopy and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Henry A. Havel's work include Protein Structure and Dynamics (8 papers), Growth Hormone and Insulin-like Growth Factors (8 papers) and Molecular spectroscopy and chirality (6 papers). Henry A. Havel is often cited by papers focused on Protein Structure and Dynamics (8 papers), Growth Hormone and Insulin-like Growth Factors (8 papers) and Molecular spectroscopy and chirality (6 papers). Henry A. Havel collaborates with scholars based in United States, Germany and Canada. Henry A. Havel's co-authors include David N. Brems, S.M. Plaisted, Paul L. Dubin, Allen H. Pekar, H. Dautzenberg, Yingjie Li, C.-S.C. Tomich, Michael R. DeFelippis, Jiulin Xia and Thomas J. Thamann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Analytical Chemistry.

In The Last Decade

Henry A. Havel

36 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Henry A. Havel United States 21 650 276 183 164 156 36 1.3k
Dietmar G. Schmid Germany 23 612 0.9× 307 1.1× 65 0.4× 440 2.7× 220 1.4× 37 1.7k
Phil G. Squire United States 16 756 1.2× 189 0.7× 140 0.8× 77 0.5× 246 1.6× 33 1.3k
Masayuki Shibata Japan 24 535 0.8× 374 1.4× 57 0.3× 227 1.4× 76 0.5× 126 1.7k
Peter J. Winn United Kingdom 22 850 1.3× 162 0.6× 50 0.3× 129 0.8× 294 1.9× 53 1.7k
Qing‐Chuan Zheng China 21 946 1.5× 324 1.2× 34 0.2× 195 1.2× 133 0.9× 160 1.9k
Raymond F. Greene United States 12 839 1.3× 319 1.2× 29 0.2× 131 0.8× 94 0.6× 17 1.7k
Allen H. Pekar United States 16 891 1.4× 175 0.6× 193 1.1× 54 0.3× 150 1.0× 22 1.2k
Fabrice Fleury France 21 832 1.3× 259 0.9× 119 0.7× 251 1.5× 40 0.3× 65 1.5k
Koji Inaka Japan 22 959 1.5× 541 2.0× 62 0.3× 99 0.6× 73 0.5× 75 1.6k
Connie Darmanin Australia 21 507 0.8× 217 0.8× 95 0.5× 153 0.9× 32 0.2× 53 1.1k

Countries citing papers authored by Henry A. Havel

Since Specialization
Citations

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

Fields of papers citing papers by Henry A. Havel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Henry A. Havel. 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 Henry A. Havel. The network helps show where Henry A. Havel may publish in the future.

Co-authorship network of co-authors of Henry A. Havel

This figure shows the co-authorship network connecting the top 25 collaborators of Henry A. Havel. A scholar is included among the top collaborators of Henry A. Havel 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 Henry A. Havel. Henry A. Havel 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
1.
Havel, Henry A.. (2017). Aqueous solubility-enhancing excipient technologies: a review of recent developments. 22(6). 32–34. 2 indexed citations
2.
Lucas, Andrew T., Alberto Gabizón, Alexander V. Kabanov, et al.. (2017). Pharmacokinetic and screening studies of the interaction between mononuclear phagocyte system and nanoparticle formulations and colloid forming drugs. International Journal of Pharmaceutics. 526(1-2). 443–454. 16 indexed citations
3.
Stewart, Katie D., Joseph A. Johnston, Louis S. Matza, et al.. (2016). Preference for pharmaceutical formulation and treatment process attributes. Patient Preference and Adherence. Volume 10. 1385–1399. 70 indexed citations
4.
Finch, Gregory L., Henry A. Havel, Mostafa Analoui, et al.. (2014). Nanomedicine Drug Development: A Scientific Symposium Entitled “Charting a Roadmap to Commercialization”. The AAPS Journal. 16(4). 698–704. 12 indexed citations
5.
Xia, Jiulin, Paul L. Dubin, Etsuo Kokufuta, Henry A. Havel, & Barry B. Muhoberac. (1999). Light scattering, CD, and ligand binding studies of ferrihemoglobin-polyelectrolyte complexes. Biopolymers. 50(2). 153–161. 26 indexed citations
6.
Pekar, Allen H., et al.. (1998). Effects of Non-Covalent Self-Association on the Subcutaneous Absorption of a Therapeutic Peptide. Pharmaceutical Research. 15(2). 254–262. 43 indexed citations
7.
Radziuk, J., Henry A. Havel, Mark L. Brader, et al.. (1996). Physicochemical basis for the rapid time‐action of LysB28ProB29‐insulin: Dissociation of a protein‐ligand complex. Protein Science. 5(12). 2521–2531. 67 indexed citations
8.
9.
Li, Yingjie, et al.. (1995). Complex Formation between Polyelectrolyte and Oppositely Charged Mixed Micelles: Soluble Complexes vs Coacervation. Langmuir. 11(7). 2486–2492. 68 indexed citations
10.
Pekar, Allen H., et al.. (1995). Effect of Salts on the Structure of a Potent Analog of Growth Hormone Releasing Hormone As Determined by Optical Spectroscopy. Journal of Pharmaceutical Sciences. 84(4). 437–442. 1 indexed citations
11.
Xia, Jiulin, et al.. (1995). Dilute solution properties of poly(dimethyldiallylammonium chloride) in aqueous sodium chloride solutions. Journal of Polymer Science Part B Polymer Physics. 33(7). 1117–1122. 19 indexed citations
12.
DeFelippis, Michael R., et al.. (1995). Acid stabilization of human growth hormone equilibrium folding intermediates. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1247(1). 35–45. 23 indexed citations
13.
DeFelippis, Michael R., et al.. (1993). Evidence for a self-associating equilibrium intermediate during folding of human growth hormone. Biochemistry. 32(6). 1555–1562. 61 indexed citations
14.
15.
Havel, Henry A., et al.. (1989). Investigations of protein structure with optical spectroscopy: bovine growth hormone. Analytical Chemistry. 61(7). 642–650. 32 indexed citations
16.
Brems, David N. & Henry A. Havel. (1989). Folding of bovine growth hormone is consistent with the molten globule hypothesis. Proteins Structure Function and Bioinformatics. 5(1). 93–95. 45 indexed citations
17.
Thamann, Thomas J., et al.. (1989). Ultraviolet resonance Raman and fluorescence studies of acid-induced structural alterations in porcine, bovine, and human growth hormone. Journal of the American Chemical Society. 111(14). 5449–5456. 18 indexed citations
18.
Havel, Henry A., et al.. (1988). Fluorescence quenching studies of bovine growth hormone in several conformational states. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 955(2). 154–163. 21 indexed citations
19.
Brems, David N., et al.. (1986). Characterization of an associated equilibrium folding intermediate of bovine growth hormone. Biochemistry. 25(21). 6539–6543. 67 indexed citations
20.
Abbate, Sergio, et al.. (1985). The charge flow model applied to the vibrational circular dichroism of oriented species. Chemical Physics Letters. 113(2). 202–206. 1 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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