Michael W. Lodewyk

2.5k citations
28 papers · 2.1k indexed · 1 hit paper · h-index 18
Topics
Molecular spectroscopy and chirality (7 papers)Plant biochemistry and biosynthesis (5 papers)Computational Drug Discovery Methods (4 papers)

In The Last Decade

Michael W. Lodewyk

28 papers receiving 2.1k citations

Hit Papers

Computational Prediction of1H and13C Chemical Shifts: A U...201120262016202120112505007501000

Peers

Michael W. Lodewyk
Comparison fields: 5 of 113
  • Organic Chemistry 859
  • Molecular Biology 849
  • Spectroscopy 669
  • Pharmacology 387
  • Biotechnology 191
Replace Andrei G. Kutateladze with:
Andrei G. Kutateladze United States
Jadwiga Frelek Poland
Matthew R. Siebert United States
Ariel M. Sarotti Argentina
Elizabeth H. Krenske Australia
H. Duddeck Germany
R. Thomas Williamson United States
Raman K. Bakshi United States
Marc Garcia‐Borràs Spain
Luigi Gomez‐Paloma Italy
Michael W. Lodewyk relative to Andrei G. Kutateladze United States Andrei G. Kutateladze's profile →
Citations per field
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Andrei G. Kutateladze · 1×
Citations per year

Countries citing papers authored by Michael W. Lodewyk

Since Specialization
Citations

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

Fields of papers citing papers by Michael W. Lodewyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael W. Lodewyk. 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 Michael W. Lodewyk. The network helps show where Michael W. Lodewyk may publish in the future.

Co-authorship network of co-authors of Michael W. Lodewyk

This figure shows the co-authorship network connecting the top 25 collaborators of Michael W. Lodewyk. A scholar is included among the top collaborators of Michael W. Lodewyk 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 Michael W. Lodewyk. Michael W. Lodewyk 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
#WorkIndexed citations
1 26
2 3
3 21
4 35
5 10
6 143
7 18
8 14
9 13
10 31
11 22
12 53
13 86
14 1
15 159
16 89
17
Computational Prediction of1H and13C Chemical Shifts: A Useful Tool for Natural Product, Mechanistic, and Synthetic Organic Chemistrybreakdown →
1043
18 6
19 8
20 46

About Michael W. Lodewyk

Michael W. Lodewyk is a scholar working on Physical and Theoretical Chemistry, Biochemistry and Organic Chemistry, having authored 28 papers that have together received 2.1k indexed citations. Recurring topics across this work include Molecular spectroscopy and chirality (7 papers), Plant biochemistry and biosynthesis (5 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Spectroscopy (669 citations), Organic Chemistry (859 citations) and Pharmacology (387 citations). Michael W. Lodewyk has collaborated with scholars based in United States, Brazil and Netherlands. Frequent co-authors include Dean J. Tantillo, Matthew R. Siebert, Alexander D. Huters, Neil K. Garg, Kyle W. Quasdorf, Jared T. Shaw, Cristian Soldi, Richmond Sarpong, Juan Rita and Marilyn M. Olmstead. Their work appears in journals such as Nature, Chemical Reviews and Journal of the American Chemical Society.

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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