Anna Lappala
Impact in
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- Protein Structure and Dynamics
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
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- Rheology and Fluid Dynamics Studies
Papers in
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- Rheology and Fluid Dynamics Studies 2
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- Genomics and Chromatin Dynamics 4
- Protein Structure and Dynamics 2
- RNA and protein synthesis mechanisms 2
- Co-authors
- Eugene Michael Terentjev (5 shared papers)Karissa Y. Sanbonmatsu (4 shared papers)Chang‐Shung Tung (3 shared papers)Will Fischer (3 shared papers)Marcus Daniels (1 shared paper)Jaewoon Jung (1 shared paper)Yuji Sugita (1 shared paper)Gavin D. Bascom (1 shared paper)
- Journals
- Macromolecules (2 papers)Biomolecules (2 papers)Scientific Reports (2 papers)Current Opinion in Structural Biology (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United StatesUnited KingdomChile
In The Last Decade
Anna Lappala
14 papers receiving 278 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 150
- Fluid Flow and Transfer Processes 13
- Materials Chemistry 72
- Polymers and Plastics 20
- Structural Biology 2
Countries citing papers authored by Anna Lappala
This map shows the geographic impact of Anna Lappala'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 Anna Lappala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Lappala more than expected).
Fields of papers citing papers by Anna Lappala
This network shows the impact of papers produced by Anna Lappala. 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 Anna Lappala. The network helps show where Anna Lappala may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Lappala, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 94 | |
| 2 | 2024 | 35 | |
| 3 | 2013 | 28 | |
| 4 | 2021 | 25 | |
| 5 | 2013 | 20 | |
| 6 | 2022 | 15 | |
| 7 | 2016 | 14 | |
| 8 | 2019 | 14 | |
| 9 | 2025 | 13 | |
| 10 | 2021 | 8 | |
| 11 | 2018 | 7 | |
| 12 | 2013 | 5 | |
| 13 | 2021 | 3 | |
| 14 | 2018 | 1 | |
| 15 | 2026 | 0 |
About Anna Lappala
Anna Lappala is a scholar working on Fluid Flow and Transfer Processes, Molecular Biology, Condensed Matter Physics, Materials Chemistry and Polymers and Plastics, having authored 15 papers that have together received 282 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), Material Dynamics and Properties (4 papers), Rheology and Fluid Dynamics Studies (2 papers), Protein Structure and Dynamics (2 papers), Liquid Crystal Research Advancements (2 papers), Theoretical and Computational Physics (2 papers), Polymer crystallization and properties (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Molecular Biology (150 citations), Fluid Flow and Transfer Processes (13 citations), Materials Chemistry (72 citations), Polymers and Plastics (20 citations) and Structural Biology (2 citations). Anna Lappala has collaborated with scholars based in United States, United Kingdom and Chile. Frequent co-authors include Eugene Michael Terentjev, Karissa Y. Sanbonmatsu, Chang‐Shung Tung, Will Fischer, Marcus Daniels, Jaewoon Jung, Yuji Sugita, Gavin D. Bascom, Jeannie T. Lee and Chigusa Kobayashi. Their work appears in journals such as Macromolecules, Biomolecules, Scientific Reports, Current Opinion in Structural Biology and BMC Bioinformatics.
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.