Glen E. Kellogg

6.2k citations
143 papers · 4.9k indexed · h-index 42

Impact in

Papers in

Glen E. Kellogg

138 papers receiving 4.8k citations

Peers

Glen E. Kellogg
Comparison fields: 5 of 141
  • Computational Theory and Mathematics 1.2k
  • Molecular Biology 2.9k
  • Organic Chemistry 918
  • Spectroscopy 381
  • Virology 104
Replace Michał Rostkowski with:
Michał Rostkowski Poland
G. Madhavi Sastry India
Chresten R. Søndergaard Ireland
Kevin Hauser United States
Nadine Homeyer Germany
Markus K. Dahlgren United States
Alexander W. Schüttelkopf United Kingdom
Susan A. Charman Australia
Oreola Donini United States
Irina Massova United States
Glen E. Kellogg relative to Michał Rostkowski Poland Michał Rostkowski's profile →
Citations per field
00.5×1.6×
Michał Rostkowski · 1×
Citations per year

Countries citing papers authored by Glen E. Kellogg

Since Specialization
Citations

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

Fields of papers citing papers by Glen E. Kellogg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Glen E. Kellogg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Glen E. Kellogg Line = papers co-authored together Glen E. Kellogg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20234
3 20230
4 202326
5 201915
6 201412
7 201419
8 201321
9 201314
10 201151
11 200918
12 200753
13 20079
14 200748
15 200655
16 200535
17 200477
18 200456
19 199813
20 199680

About Glen E. Kellogg

Glen E. Kellogg is a scholar working on Computational Theory and Mathematics, Molecular Biology, Virology, Cell Biology and Spectroscopy, having authored 143 papers that have together received 4.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (47 papers), Computational Drug Discovery Methods (35 papers), Enzyme Structure and Function (19 papers), DNA and Nucleic Acid Chemistry (8 papers), Receptor Mechanisms and Signaling (8 papers), Spectroscopy and Quantum Chemical Studies (7 papers), Hemoglobin structure and function (7 papers) and Synthesis and biological activity (6 papers). The work is most often cited by research in Computational Theory and Mathematics (1.2k citations), Molecular Biology (2.9k citations), Organic Chemistry (918 citations), Spectroscopy (381 citations) and Virology (104 citations). Glen E. Kellogg has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Donald J. Abraham, Pietro Cozzini, Andrea Mozzarelli, Micaela Fornabaio, Francesca Spyrakis, Simon F. Semus, Aurijit Sarkar, Dennis L. Lichtenberger, Matteo Porotto and Anne Moscona. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry, Journal of Computer-Aided Molecular Design, Bioorganic & Medicinal Chemistry Letters and PLoS ONE.

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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