Tim Heinemann

14 papers receiving 287 citations

Peers

Tim Heinemann
Comparison fields: 5 of 99
  • Modeling and Simulation 11
  • Biophysics 14
  • Molecular Biology 155
  • Industrial and Manufacturing Engineering 23
  • Renewable Energy, Sustainability and the Environment 22
Replace Haihong Yang with:
Haihong Yang China
Lily A. Chylek United States
Panuwat Trairatphisan Germany
Eleftheria Tzamali Greece
Ryan Gill United States
Jeffrey Law United States
Caleb M. Phillips United States
Yuting Jia China
Shoumen Datta United States
Tim Heinemann relative to Haihong Yang China Haihong Yang's profile →
Citations per field
00.5×7.7×
Haihong Yang · 1×
Citations per year

Countries citing papers authored by Tim Heinemann

Since Specialization
Citations

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

Fields of papers citing papers by Tim Heinemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2015156
2 201819
3 201418
4 201517
5 201416
6 202212
7 201611
8 20149
9 20149
10 20118
11 20146
12 20245
13 20124
14 20241
15
BBF RFC 99: HiCT: High Throughput Protocols For CPE Cloning And Transformation
20130

About Tim Heinemann

Tim Heinemann is a scholar working on Molecular Biology, Strategy and Management, Finance, Genetics and Biophysics, having authored 15 papers that have together received 291 indexed citations. Recurring topics across this work include Banking stability, regulation, efficiency (2 papers), Housing, Finance, and Neoliberalism (2 papers), DNA Repair Mechanisms (2 papers), Flexible and Reconfigurable Manufacturing Systems (2 papers), Genomics and Chromatin Dynamics (2 papers), Gene Regulatory Network Analysis (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Modeling and Simulation (11 citations), Biophysics (14 citations), Molecular Biology (155 citations), Industrial and Manufacturing Engineering (23 citations) and Renewable Energy, Sustainability and the Environment (22 citations). Tim Heinemann has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Andreas Raue, Thomas Höfer, Clemens Kreutz, Joep Vanlier, Ursula Klingmüller, Christian Tönsing, Tim Maiwald, Raphael Engesser, Lorenz Adlung and Marcel Schilling. Their work appears in journals such as Science Signaling, Frontiers in Bioengineering and Biotechnology, Current Opinion in Biotechnology, Journal of Economic Geography and PLoS Computational 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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