Michael Klann

506 citations
16 papers · 376 · h-index 10

Impact in

  • Biophysics top 5%
    • Advanced Fluorescence Microscopy Techniques
    • Cell Image Analysis Techniques
    • Cellular transport and secretion

Papers in

    • Gene Regulatory Network Analysis 12
    • Bioinformatics and Genomic Networks 2
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Advanced Fluorescence Microscopy Techniques 6
    • Cell Image Analysis Techniques 4

Michael Klann

16 papers receiving 373 citations

Peers

Michael Klann
Comparison fields: 5 of 82
  • Biophysics 55
  • Cell Biology 69
  • Molecular Biology 269
  • Modeling and Simulation 15
  • Computer Graphics and Computer-Aided Design 12
Replace Satya N.V. Arjunan with:
Satya N.V. Arjunan Japan
Vladimír Ulman Czechia
Andreas Doncic United States
Sotiris Dimopoulos Switzerland
Nathan Addy United States
Noriko Hiroi Japan
Mathias Luidor Heltberg Denmark
Hammad Naveed United States
Yuchi Qiu United States
H. Conzelmann Germany
Michael Klann relative to Satya N.V. Arjunan Japan Satya N.V. Arjunan's profile →
Citations per field
00.5×12×
Satya N.V. Arjunan · 1×
Citations per year

Countries citing papers authored by Michael Klann

Since Specialization
Citations

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

Fields of papers citing papers by Michael Klann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Michael Klann, 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 Michael Klann Line = papers co-authored together Michael Klann links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201593
2 201152
3 201243
4 200931
5 201031
6 201230
7 200923
8 201222
9 201113
10 201011
11 20137
12 20136
13 20125
14 20135
15
Improved Reaction Scheme for Spatial Stochastic Simulations with Single Molecule Detail
20113
16
Parallelized Agent-based Simulation on CPU and Graphics Hardware for Spatial and Stochastic Models in Biology Categories and Subject Descriptors
20111

About Michael Klann

Michael Klann is a scholar working on Molecular Biology, Biophysics, Cell Biology, Genetics and Modeling and Simulation, having authored 16 papers that have together received 376 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (12 papers), Advanced Fluorescence Microscopy Techniques (6 papers), Cell Image Analysis Techniques (4 papers), Mathematical Biology Tumor Growth (2 papers), Bioinformatics and Genomic Networks (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Microtubule and mitosis dynamics (1 paper) and Microfluidic and Bio-sensing Technologies (1 paper). The work is most often cited by research in Biophysics (55 citations), Cell Biology (69 citations), Molecular Biology (269 citations), Modeling and Simulation (15 citations) and Computer Graphics and Computer-Aided Design (12 citations). Michael Klann has collaborated with scholars based in Switzerland, Germany and Japan. Frequent co-authors include Matthias Reuß, Heinz Koeppl, Alexei Lapin, Rosemarie Ungricht, Péter Horváth, Ulrike Kutay, Thomas Ertl, Martin Falk, Arnab Ganguly and Michael Ott. Their work appears in journals such as Bioinformatics, The Journal of Cell Biology, Biophysical Journal, Physical Biology and BMC Systems Biology.

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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