Hans‐Michael Eggenweiler
- Molecular Biology
- Spectroscopy top 5%
- Biomedical Engineering
- Computational Theory and Mathematics top 5%
- Materials Chemistry
- Co-authors
- Dieter LubdaKarin CabreraHiroyoshi MinakuchiKazuki NakanishiChristian SirrenbergAnsgar WegenerDjordje MüsilHans‐Peter Buchstaller
- Topics
- Heat shock proteins research (6 papers)Computational Drug Discovery Methods (5 papers)Innovative Microfluidic and Catalytic Techniques Innovation (4 papers)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Hans‐Michael Eggenweiler
19 papers receiving 859 citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 511
- Spectroscopy 241
- Biomedical Engineering 206
- Computational Theory and Mathematics 152
- Materials Chemistry 114
Countries citing papers authored by Hans‐Michael Eggenweiler
This map shows the geographic impact of Hans‐Michael Eggenweiler'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 Hans‐Michael Eggenweiler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans‐Michael Eggenweiler more than expected).
Fields of papers citing papers by Hans‐Michael Eggenweiler
This network shows the impact of papers produced by Hans‐Michael Eggenweiler. 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 Hans‐Michael Eggenweiler. The network helps show where Hans‐Michael Eggenweiler may publish in the future.
Co-authorship network of co-authors of Hans‐Michael Eggenweiler
This figure shows the co-authorship network connecting the top 25 collaborators of Hans‐Michael Eggenweiler. A scholar is included among the top collaborators of Hans‐Michael Eggenweiler 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 Hans‐Michael Eggenweiler. Hans‐Michael Eggenweiler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 12 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 18 | |
| 7 | 56 | |
| 8 | 42 | |
| 9 | 196 | |
| 10 | 20 | |
| 11 | 31 | |
| 12 | 8 | |
| 13 | 156 | |
| 14 | 32 | |
| 15 | 14 | |
| 16 | 1 | |
| 17 | 6 | |
| 18 | 265 | |
| 19 | 7 |
About Hans‐Michael Eggenweiler
Hans‐Michael Eggenweiler is a scholar working on Electrochemistry, Computational Theory and Mathematics and Pharmacology, having authored 19 papers that have together received 874 indexed citations. Recurring topics across this work include Heat shock proteins research (6 papers), Computational Drug Discovery Methods (5 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (4 papers). The work is most often cited by research in Spectroscopy (241 citations), Computational Theory and Mathematics (152 citations) and Molecular Biology (511 citations). Hans‐Michael Eggenweiler has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Dieter Lubda, Karin Cabrera, Hiroyoshi Minakuchi, Kazuki Nakanishi, Christian Sirrenberg, Ansgar Wegener, Djordje Müsil, Hans‐Peter Buchstaller, Matthias Frech and Marta Amaral. Their work appears in journals such as Angewandte Chemie International Edition, Nature Communications and PLoS ONE.
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.