Glen E. Kellogg

6.3k citations
148 papers · 5.2k · h-index 44

Impact in

Papers in

Glen E. Kellogg

144 papers receiving 5.1k citations

Peers

Glen E. Kellogg
Comparison fields: 5 of 141
  • Computational Theory and Mathematics 1.3k
  • Molecular Biology 2.9k
  • Organic Chemistry 967
  • Toxicology 77
  • Spectroscopy 393
Replace G. Madhavi Sastry with:
G. Madhavi Sastry India
Michał Rostkowski Poland
Nadine Homeyer Germany
Markus K. Dahlgren United States
Chresten R. Søndergaard Ireland
Nicolas Foloppe United Kingdom
Shuanghong Huo United States
Alexander W. Schüttelkopf United Kingdom
Mark B. Swindells United Kingdom
Lauren Wickstrom United States
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Citations per field
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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-authors

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

Showing the 20 most-cited of 148 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991276
2 2008247
3 2000201
4 2017125
5 2010118
6 2002117
7 2004102
8 1991102
9 200297
10 200792
11 201187
12 199685
13 200483
14 200483
15 200782
16 199681
17 200377
18 200877
19 202177
20 200976

About Glen E. Kellogg

Glen E. Kellogg is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Organic Chemistry and Oncology, having authored 148 papers that have together received 5.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (44 papers), Computational Drug Discovery Methods (36 papers), Enzyme Structure and Function (18 papers), Receptor Mechanisms and Signaling (8 papers), DNA and Nucleic Acid Chemistry (8 papers), Hemoglobin structure and function (7 papers), Spectroscopy and Quantum Chemical Studies (7 papers) and Synthesis and biological activity (6 papers). The work is most often cited by research in Computational Theory and Mathematics (1.3k citations), Molecular Biology (2.9k citations), Organic Chemistry (967 citations), Toxicology (77 citations) and Spectroscopy (393 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, Francesca Spyrakis, Micaela Fornabaio, Simon F. Semus, Dennis L. Lichtenberger, Aurijit Sarkar, Alexander S. Bayden and Matteo Porotto. 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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