Markus H. J. Seifert

863 citations
18 papers · 693 indexed · h-index 14
Topics
Computational Drug Discovery Methods (9 papers)Protein Structure and Dynamics (6 papers)Advanced Fluorescence Microscopy Techniques (3 papers)
Partner nations
GermanyCanadaJapan

In The Last Decade

Markus H. J. Seifert

18 papers receiving 659 citations

Peers

Markus H. J. Seifert
Comparison fields: 5 of 83
  • Molecular Biology 544
  • Computational Theory and Mathematics 202
  • Biophysics 169
  • Organic Chemistry 100
  • Materials Chemistry 92
Replace Ryan MacArthur with:
Ryan MacArthur United States
Toshihiko Sugiki Japan
Matthew Pokross United States
Richard Brust United States
Andreas Sewing United Kingdom
Hideki Tsujishita Japan
Kevin Crowell Canada
Gianpaolo Fogliatto Italy
Ruchi Gupta India
Claire Pigault France
Markus H. J. Seifert relative to Ryan MacArthur United States Ryan MacArthur's profile →
Citations per field
00.5×2.6×
Ryan MacArthur · 1×
Citations per year

Countries citing papers authored by Markus H. J. Seifert

Since Specialization
Citations

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

Fields of papers citing papers by Markus H. J. Seifert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus H. J. Seifert. 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 Markus H. J. Seifert. The network helps show where Markus H. J. Seifert may publish in the future.

Co-authorship network of co-authors of Markus H. J. Seifert

This figure shows the co-authorship network connecting the top 25 collaborators of Markus H. J. Seifert. A scholar is included among the top collaborators of Markus H. J. Seifert 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 Markus H. J. Seifert. Markus H. J. Seifert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 15
2 41
3 59
4 13
5 33
6 15
7 8
8 23
9
Virtual high-throughput screening of molecular databases.
35
10 11
11 21
12 20
13 172
14 53
15 58
16 13
17 21
18 82

About Markus H. J. Seifert

Markus H. J. Seifert is a scholar working on Computational Theory and Mathematics, Biophysics and Molecular Biology, having authored 18 papers that have together received 693 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (6 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). The work is most often cited by research in Biophysics (169 citations), Computational Theory and Mathematics (202 citations) and Molecular Biology (544 citations). Markus H. J. Seifert has collaborated with scholars based in Germany, Canada and Japan. Frequent co-authors include Tad A. Holak, Nediljko Budiša, M. Kamran Azim, Kristina Wolf, Daniel Vitt, Pawel Smialowski, Martin Lang, Robert Huber, Georg Wiegand and Andreas Zumbusch. Their work appears in journals such as Journal of the American Chemical Society, Journal of Molecular Biology 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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