David Poger

3.4k citations
31 papers · 2.9k · 1 hit paper · h-index 19

Impact in

Papers in

David Poger

31 papers receiving 2.8k citations

David Poger's Hit Papers

An Automated Force Field Topology Builder (ATB) and Repository: Version 1.0 2011 · 1.6k citations
1.6k0+5+10Years since publication50010001.5k

Peers

David Poger
Comparison fields: 5 of 143
  • Molecular Biology 1.6k
  • Physical and Theoretical Chemistry 157
  • Microbiology 97
  • Organic Chemistry 468
  • Pharmaceutical Science 96
Replace Martin Stroet with:
Martin Stroet Australia
Nathan Schmid Switzerland
Andreas P. Eichenberger Switzerland
Moritz Winger Australia
Alpeshkumar K. Malde Australia
Alexandra Choutko Switzerland
Wenbo Yu United States
Danilo Roccatano Germany
Pekka Mark Sweden
Günther H. Peters Denmark
David Poger relative to Martin Stroet Australia Martin Stroet's profile →
Citations per field
00.5×1.7×
Martin Stroet · 1×
Citations per year

Countries citing papers authored by David Poger

Since Specialization
Citations

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

Fields of papers citing papers by David Poger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Poger. 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 David Poger. The network helps show where David Poger may publish in the future.

Co-authors

The 25 scholars most cited alongside David Poger, 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 David Poger Line = papers co-authored together David Poger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An Automated Force Field Topology Builder (ATB) and Repository: Version 1.0
Hit paper breakdown →
20111560
2 2009301
3 2009275
4 2015121
5 201275
6 201671
7 201469
8 201339
9 201739
10 201828
11 201928
12 200825
13 201724
14 201024
15 201422
16 200521
17 200921
18 201419
19 200619
20 201411

About David Poger

David Poger is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Ecology, Oncology and Materials Chemistry, having authored 31 papers that have together received 2.9k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (14 papers), Protein Structure and Dynamics (10 papers), Spectroscopy and Quantum Chemical Studies (8 papers), Bacteriophages and microbial interactions (4 papers), Trace Elements in Health (3 papers), Enzyme Structure and Function (3 papers), Force Microscopy Techniques and Applications (2 papers) and Antimicrobial Peptides and Activities (2 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Physical and Theoretical Chemistry (157 citations), Microbiology (97 citations), Organic Chemistry (468 citations) and Pharmaceutical Science (96 citations). David Poger has collaborated with scholars based in Australia, Netherlands and France. Frequent co-authors include Alan E. Mark, Martin Stroet, Pramod C. Nair, Alpeshkumar K. Malde, L. Zuo, Chris Oostenbrink, Wilfred F. van Gunsteren, Bertrand Caron, Evelyne Deplazes and Michel Ferrand. Their work appears in journals such as The Journal of Physical Chemistry B, Journal of Chemical Theory and Computation, FEBS Letters, Journal of Computational Chemistry and Biochemistry.

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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