Max Linke

2.4k citations
16 papers · 1.4k indexed · 1 hit paper · h-index 8

Max Linke

14 papers receiving 1.4k citations

Hit Papers

MDAnalysis: A Python Package for the Rapid Analysis of Mo...1.1k20162026201920222505007501000

Peers

Max Linke
Comparison fields: 5 of 123
  • Molecular Biology 908
  • Spectroscopy 112
  • Computational Theory and Mathematics 84
  • Materials Chemistry 237
  • Cell Biology 80
Replace Tyler Reddy with:
Tyler Reddy United Kingdom
Richard Gowers United States
Sean L. Seyler United States
Jan Domański United States
Ian M. Kenney United States
Sébastien Buchoux France
Xiaodong Pang United States
Åge A. Skjevik Norway
Yann Fichou United States
Gia G. Maisuradze United States
Max Linke relative to Tyler Reddy United Kingdom Tyler Reddy's profile →
Citations per field
00.5×1.5×
Tyler Reddy · 1×
Citations per year

Countries citing papers authored by Max Linke

Since Specialization
Citations

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

Fields of papers citing papers by Max Linke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 24 scholars most cited alongside Max Linke, 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 Max Linke Line = papers co-authored together Max Linke links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20221
2 202032
3 202011
4 2019129
5 20193
6 20198
7 20190
8 201820
9 201836
10
MDAnalysis: A Python Package for the Rapid Analysis of Molecular Dynamics Simulationsbreakdown →
20161133
11 20169
12 20134
13 19792
14 19763
15 19680
16 19601

About Max Linke

Max Linke is a scholar working on Hardware and Architecture, Information Systems and Management and Cell Biology, having authored 16 papers that have together received 1.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Enzyme Structure and Function (3 papers), Protein purification and stability (2 papers), Parallel Computing and Optimization Techniques (2 papers), Force Microscopy Techniques and Applications (1 paper), Entomological Studies and Ecology (1 paper), Spectroscopy and Quantum Chemical Studies (1 paper) and Machine Learning in Materials Science (1 paper). The work is most often cited by research in Molecular Biology (908 citations), Spectroscopy (112 citations) and Computational Theory and Mathematics (84 citations). Max Linke has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Richard Gowers, Oliver Beckstein, Sean L. Seyler, David Dotson, Manuel N. Melo, Sébastien Buchoux, Jonathan Barnoud, Tyler Reddy, Jan Domański and Ian M. Kenney. Their work appears in journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B, Jahrbuch für Wirtschaftsgeschichte / Economic History Yearbook, The Journal of Physical Chemistry Letters and Deutsche Entomologische Zeitschrift.

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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