Henry L. Surprenant

462 total citations
9 papers, 381 citations indexed

About

Henry L. Surprenant is a scholar working on Molecular Biology, Spectroscopy and Organic Chemistry. According to data from OpenAlex, Henry L. Surprenant has authored 9 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Spectroscopy and 2 papers in Organic Chemistry. Recurrent topics in Henry L. Surprenant's work include Molecular spectroscopy and chirality (3 papers), Force Microscopy Techniques and Applications (2 papers) and Electrochemical Analysis and Applications (2 papers). Henry L. Surprenant is often cited by papers focused on Molecular spectroscopy and chirality (3 papers), Force Microscopy Techniques and Applications (2 papers) and Electrochemical Analysis and Applications (2 papers). Henry L. Surprenant collaborates with scholars based in United States. Henry L. Surprenant's co-authors include Charles N. Reilley, Joseph E. Sarneski, Thomas H. Ridgway, Chen-Chao Wang, Donald C. Monkhouse, James T. Byrd, Satoshi Ōmura, Alain Olesker, Paul Reichert and James Morton and has published in prestigious journals such as Analytical Chemistry, Journal of the Chemical Society Perkin Transactions 1 and Drug Development and Industrial Pharmacy.

In The Last Decade

Henry L. Surprenant

9 papers receiving 319 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 L. Surprenant United States 7 113 102 94 88 64 9 381
Е. Yu. Tyunina Russia 12 142 1.3× 217 2.1× 60 0.6× 44 0.5× 39 0.6× 77 481
Brandi L. Langsdorf United States 11 30 0.3× 71 0.7× 71 0.8× 33 0.4× 11 0.2× 12 433
Michael A. Schmid Germany 10 46 0.4× 331 3.2× 20 0.2× 111 1.3× 17 0.3× 13 562
Leonardo A. De Souza Brazil 14 70 0.6× 170 1.7× 65 0.7× 46 0.5× 5 0.1× 32 426
R. Gallo France 13 86 0.8× 311 3.0× 41 0.4× 90 1.0× 3 0.0× 57 521
А. М. Васильцов Russia 14 110 1.0× 430 4.2× 52 0.6× 54 0.6× 4 0.1× 66 625
Denis Höfler Germany 8 30 0.3× 267 2.6× 25 0.3× 76 0.9× 23 0.4× 15 405
Matthias Bechmann Austria 10 81 0.7× 67 0.7× 23 0.2× 20 0.2× 3 0.0× 31 310
Wen Lu China 14 75 0.7× 128 1.3× 51 0.5× 104 1.2× 2 0.0× 39 470
Karim Sarmini Austria 8 241 2.1× 33 0.3× 318 3.4× 53 0.6× 2 0.0× 10 495

Countries citing papers authored by Henry L. Surprenant

Since Specialization
Citations

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

Fields of papers citing papers by Henry L. Surprenant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Henry L. Surprenant

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

All Works

9 of 9 papers shown
1.
Wang, Chen-Chao, et al.. (2006). Development of Near Zero-Order Release Dosage Forms Using Three-Dimensional Printing (3-DP™) Technology. Drug Development and Industrial Pharmacy. 32(3). 367–376. 86 indexed citations
2.
Surprenant, Henry L., et al.. (1980). Carbon-13 NMR studies of amino acids: Chemical shifts, protonation shifts, microscopic protonation behavior. Journal of Magnetic Resonance (1969). 40(2). 231–243. 44 indexed citations
4.
Thang, Ton That, G. LUKACS, Satoshi Ōmura, et al.. (1978). ChemInform Abstract: MEGALOMICINS. 6. TERTIARY GLYCOSIDIC MACROLIDE ANTIBIOTICS. A STRUCTURAL REVISION BY CARBON‐13 NUCLEAR MAGNETIC RESONANCE AND X‐RAY CRYSTALLOGRAPHY. Chemischer Informationsdienst. 9(18). 3 indexed citations
5.
Surprenant, Henry L.. (1977). Convolution and deconvolution in the synthesis and analysis of staircase voltammograms. Journal of Electroanalytical Chemistry (1959). 75(1). 125–134. 1 indexed citations
6.
Surprenant, Henry L., Thomas H. Ridgway, & Charles N. Reilley. (1977). Convolution and deconvolution in the synthesis and analysis of staircase voltammograms. Journal of Electroanalytical Chemistry. 75(1). 125–134. 38 indexed citations
7.
Surprenant, Henry L. & Charles N. Reilley. (1977). Uniqueness of carbon-13 nuclear magnetic resonance spectra of acyclic saturated hydrocarbons. Analytical Chemistry. 49(8). 1134–1139. 9 indexed citations
8.
Sarneski, Joseph E., Henry L. Surprenant, & Charles N. Reilley. (1976). The Use of Protonation Induced Changes in Carbon-13 NMR Chemical Shifts to Investigate the Solution Microscopic Structure of Partially Protonated Polybasic Molecules. Spectroscopy Letters. 9(12). 885–894. 11 indexed citations
9.
Sarneski, Joseph E., et al.. (1975). Chemical shifts and protonation shifts in carbon-13 nuclear magnetic resonance studies of aqueous amines. Analytical Chemistry. 47(13). 2116–2124. 164 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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