Morton E. Munk

1.8k total citations
59 papers, 1.3k citations indexed

About

Morton E. Munk is a scholar working on Organic Chemistry, Spectroscopy and Computational Theory and Mathematics. According to data from OpenAlex, Morton E. Munk has authored 59 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Organic Chemistry, 22 papers in Spectroscopy and 11 papers in Computational Theory and Mathematics. Recurrent topics in Morton E. Munk's work include Analytical Chemistry and Chromatography (16 papers), Computational Drug Discovery Methods (11 papers) and Molecular spectroscopy and chirality (11 papers). Morton E. Munk is often cited by papers focused on Analytical Chemistry and Chromatography (16 papers), Computational Drug Discovery Methods (11 papers) and Molecular spectroscopy and chirality (11 papers). Morton E. Munk collaborates with scholars based in United States, Germany and United Kingdom. Morton E. Munk's co-authors include Bradley D. Christie, Ernest W. Robb, Calvin L. Stevens, Ernö Pretsch, H. B. Woodruff, Martin Badertscher, Mark O. Trulson, K. N. Houk, Steven A. Lopez and Marko Razinger and has published in prestigious journals such as Journal of the American Chemical Society, Analytical Chemistry and Journal of Medicinal Chemistry.

In The Last Decade

Morton E. Munk

59 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
Morton E. Munk United States 26 482 459 364 331 246 59 1.3k
Annick Panaye France 18 361 0.7× 394 0.9× 337 0.9× 510 1.5× 172 0.7× 62 1.2k
Sérgio Clementi Italy 22 458 1.0× 609 1.3× 722 2.0× 922 2.8× 483 2.0× 110 2.2k
IKUO MORIGUCHI Japan 17 375 0.8× 444 1.0× 514 1.4× 512 1.5× 114 0.5× 81 1.4k
Jacques R. Chrétien France 21 577 1.2× 324 0.7× 365 1.0× 527 1.6× 243 1.0× 74 1.6k
Robert S. Pearlman United States 18 320 0.7× 249 0.5× 397 1.1× 445 1.3× 80 0.3× 33 1.1k
Jon M. Sutter United States 15 316 0.7× 176 0.4× 314 0.9× 531 1.6× 334 1.4× 18 1.2k
A. J. Hopfinger United States 17 276 0.6× 564 1.2× 643 1.8× 899 2.7× 104 0.4× 36 1.7k
P. C. Jurs United States 24 732 1.5× 302 0.7× 344 0.9× 509 1.5× 404 1.6× 52 1.8k
Harpreet S. Chadha United Kingdom 13 961 2.0× 464 1.0× 376 1.0× 455 1.4× 285 1.2× 15 1.8k
Robert C. Mitchell United Kingdom 17 1.0k 2.1× 462 1.0× 636 1.7× 498 1.5× 294 1.2× 39 2.3k

Countries citing papers authored by Morton E. Munk

Since Specialization
Citations

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

Fields of papers citing papers by Morton E. Munk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Morton E. Munk. 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 Morton E. Munk. The network helps show where Morton E. Munk may publish in the future.

Co-authorship network of co-authors of Morton E. Munk

This figure shows the co-authorship network connecting the top 25 collaborators of Morton E. Munk. A scholar is included among the top collaborators of Morton E. Munk 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 Morton E. Munk. Morton E. Munk 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.
Schulz, Klaus‐Peter, et al.. (2012). INFERCNMR: A 13C NMR Interpretive Library Search System. Journal of Chemical Information and Modeling. 52(6). 1513–1528. 7 indexed citations
2.
Fotso, Serge, Rajendra P. Maskey, Iris Grün-Wollny, et al.. (2003). Bhimamycin A-E and Bhimanone: Isolation, Structure Elucidation and Biological Activity of Novel Quinone Antibiotics from a Terrestrial Streptomycete. The Journal of Antibiotics. 56(11). 931–941. 54 indexed citations
3.
Pretsch, Ernö, et al.. (2002). Computer-Aided Structure Elucidation. 11 indexed citations
4.
Munk, Morton E., et al.. (1996). Spectra Estimation for Computer-Aided Structure Determination. Journal of Chemical Information and Computer Sciences. 36(2). 239–243. 37 indexed citations
5.
Munk, Morton E., et al.. (1996). The Neural Network as a Tool for Multispectral Interpretation. Journal of Chemical Information and Computer Sciences. 36(2). 231–238. 30 indexed citations
6.
Razinger, Marko, et al.. (1993). Stereoisomer generation in computer-enhanced structure elucidation. Journal of Chemical Information and Computer Sciences. 33(6). 812–825. 17 indexed citations
7.
Christie, Bradley D. & Morton E. Munk. (1991). The role of two-dimensional nuclear magnetic resonance spectroscopy in computer-enhanced structure elucidation. Journal of the American Chemical Society. 113(10). 3750–3757. 46 indexed citations
8.
Christie, Bradley D. & Morton E. Munk. (1988). Structure generation by reduction: a new strategy for computer-assisted structure elucidation. Journal of Chemical Information and Computer Sciences. 28(2). 87–93. 49 indexed citations
9.
Lipkus, Alan H. & Morton E. Munk. (1988). Automated classification of candidate structures for computer-assisted structure elucidation. Journal of Chemical Information and Computer Sciences. 28(1). 9–18. 15 indexed citations
10.
Christie, Bradley D. & Morton E. Munk. (1987). The application of two-dimensional nuclear magnetic resonance spectroscopy in computer-assisted structure elucidation. Analytica Chimica Acta. 200. 347–361. 17 indexed citations
11.
Munk, Morton E., et al.. (1986). Computer-mediated reduction of spectral properties to molecular structures. Analytica Chimica Acta. 184. 1–19. 9 indexed citations
12.
Munk, Morton E., et al.. (1982). Computer-assisted structure elucidation. Fresenius Zeitschrift für Analytische Chemie. 313(6). 473–479. 14 indexed citations
13.
Falcone, Samuel J. & Morton E. Munk. (1979). The Rearrangement of 2-Carbomethoxy-2-Phenylselenocyclohexanone1. Synthetic Communications. 9(8). 719–726. 2 indexed citations
14.
Munk, Morton E., et al.. (1978). A unique computer representation for molecular structures. Analytica Chimica Acta. 103(3). 245–251. 2 indexed citations
15.
Buseck, Peter R., G. R. Scott, & Morton E. Munk. (1971). Hexachloro-1,3-butadiene—A meteorite etch and density measuring medium. American Mineralogist. 56. 320–326. 1 indexed citations
16.
Munk, Morton E., et al.. (1971). Chemistry of actinobolin. Oxidation of actinobolamine. The Journal of Organic Chemistry. 36(22). 3456–3458. 1 indexed citations
17.
Munk, Morton E., et al.. (1968). The structure of actinobolin. Journal of the American Chemical Society. 90(4). 1087–1089. 11 indexed citations
18.
Munk, Morton E., et al.. (1965). Stereoisomeric Enamines. I. Preparation and Characterization1a,b. The Journal of Organic Chemistry. 30(11). 3705–3710. 27 indexed citations
19.
Stevens, Calvin L., K. Grant Taylor, & Morton E. Munk. (1964). Some Reactions and Properties of 2-Phenyl-3,3-dimethyl-3,4,5,6-tetrahydropyrazine. The Journal of Organic Chemistry. 29(12). 3574–3577. 1 indexed citations
20.
Stevens, Calvin L. & Morton E. Munk. (1958). Nitrogen Analogs of Ketenes. V.1 Formation of the Peptide Bond. Journal of the American Chemical Society. 80(15). 4069–4071. 16 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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