Michela Puddu
- Molecular Biology
- Mechanical Engineering top 10%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Robert N. GrassDaniela PăunescuWendelin J. StarkReinhard HeckelPhilipp R. StoesselGediminas MikutisMartin O. SaarAnniina Kittilä
- Topics
- Advanced biosensing and bioanalysis techniques (12 papers)DNA and Biological Computing (3 papers)RNA Interference and Gene Delivery (3 papers)
- Journals
- Advanced MaterialsAngewandte Chemie International EditionEnvironmental Science & Technology
- Partner nations
- SwitzerlandNetherlandsBelarus
In The Last Decade
Michela Puddu
14 papers receiving 878 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Molecular Biology 689
- Mechanical Engineering 167
- Biomedical Engineering 124
- Artificial Intelligence 115
- Computational Theory and Mathematics 105
Countries citing papers authored by Michela Puddu
This map shows the geographic impact of Michela Puddu'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 Michela Puddu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michela Puddu more than expected).
Fields of papers citing papers by Michela Puddu
This network shows the impact of papers produced by Michela Puddu. 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 Michela Puddu. The network helps show where Michela Puddu may publish in the future.
Co-authorship network of co-authors of Michela Puddu
This figure shows the co-authorship network connecting the top 25 collaborators of Michela Puddu. A scholar is included among the top collaborators of Michela Puddu 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 Michela Puddu. Michela Puddu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 60 | |
| 2 | Comparison of novel synthetic DNA nano-colloid tracer and classic solute tracer behaviour | 1 |
| 3 | 3 | |
| 4 | Robust Chemical Preservation of Digital Information on DNA in Silica with Error‐Correcting Codesbreakdown → | 485 |
| 5 | 1 | |
| 6 | 27 | |
| 7 | 20 | |
| 8 | 13 | |
| 9 | 21 | |
| 10 | 11 | |
| 11 | The potential of silica encapsulated DNA magnetite microparticles (SiDNAMag) for multi-tracer studies in subsurface hydrology | 2 |
| 12 | 106 | |
| 13 | 24 | |
| 14 | 118 |
About Michela Puddu
Michela Puddu is a scholar working on Bioengineering, Molecular Biology and Ecology, having authored 14 papers that have together received 892 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (12 papers), DNA and Biological Computing (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Molecular Biology (689 citations), Computational Theory and Mathematics (105 citations) and Mechanical Engineering (167 citations). Michela Puddu has collaborated with scholars based in Switzerland, Netherlands and Belarus. Frequent co-authors include Robert N. Grass, Daniela Păunescu, Wendelin J. Stark, Reinhard Heckel, Wendelin J. Stark, Philipp R. Stoessel, Gediminas Mikutis, Martin O. Saar, Anniina Kittilä and Frank Krumeich. Their work appears in journals such as Advanced Materials, Angewandte Chemie International Edition and Environmental Science & Technology.
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.