Anna Tomberg
Impact in
-
- Crystallography and molecular interactions
-
- Computational Drug Discovery Methods
Papers in
-
- Computational Drug Discovery Methods 8
-
- Asymmetric Synthesis and Catalysis 3
- Co-authors
- Tomislav Friščić (2 shared papers)Oleksandr S. Bushuyev (2 shared papers)Christopher J. Barrett (2 shared papers)Per‐Ola Norrby (4 shared papers)Christian Sköld (2 shared papers)Magnus J. Johansson (4 shared papers)Christoph Alexander Bauer (1 shared paper)Nicolas Moitessier (8 shared papers)
- Journals
- Journal of Chemical Information and Modeling (3 papers)The Journal of Organic Chemistry (2 papers)Chemical Communications (2 papers)Nature Reviews Chemistry (1 paper)ACS Omega (1 paper)
- Partner nations
- CanadaSwedenUnited Kingdom
In The Last Decade
Anna Tomberg
19 papers receiving 821 citations
Peers
Comparison fields: 5 of 53
- Physical and Theoretical Chemistry 162
- Computational Theory and Mathematics 185
- Materials Chemistry 344
- Organic Chemistry 252
- Inorganic Chemistry 57
Countries citing papers authored by Anna Tomberg
This map shows the geographic impact of Anna Tomberg'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 Tomberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Tomberg more than expected).
Fields of papers citing papers by Anna Tomberg
This network shows the impact of papers produced by Anna Tomberg. 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 Tomberg. The network helps show where Anna Tomberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Tomberg, 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 | 2013 | 298 | |
| 2 | 2021 | 146 | |
| 3 | 2018 | 74 | |
| 4 | 2016 | 57 | |
| 5 | 2018 | 45 | |
| 6 | 2020 | 44 | |
| 7 | 2019 | 43 | |
| 8 | 2015 | 37 | |
| 9 | 2013 | 34 | |
| 10 | 2014 | 34 | |
| 11 | 2015 | 14 | |
| 12 | 2024 | 10 | |
| 13 | 2015 | 9 | |
| 14 | 2016 | 9 | |
| 15 | 2025 | 9 | |
| 16 | 2018 | 7 | |
| 17 | 2017 | 4 | |
| 18 | 2021 | 3 | |
| 19 | 2026 | 3 |
About Anna Tomberg
Anna Tomberg is a scholar working on Computational Theory and Mathematics, Organic Chemistry, Materials Chemistry, Spectroscopy and Pharmaceutical Science, having authored 19 papers that have together received 880 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Machine Learning in Materials Science (3 papers), Asymmetric Synthesis and Catalysis (3 papers), Advanced Chemical Physics Studies (2 papers), Advanced NMR Techniques and Applications (2 papers), Photochromic and Fluorescence Chemistry (2 papers), Chemical Synthesis and Analysis (2 papers) and Molecular spectroscopy and chirality (2 papers). The work is most often cited by research in Physical and Theoretical Chemistry (162 citations), Computational Theory and Mathematics (185 citations), Materials Chemistry (344 citations), Organic Chemistry (252 citations) and Inorganic Chemistry (57 citations). Anna Tomberg has collaborated with scholars based in Canada, Sweden and United Kingdom. Frequent co-authors include Tomislav Friščić, Oleksandr S. Bushuyev, Christopher J. Barrett, Per‐Ola Norrby, Christian Sköld, Magnus J. Johansson, Christoph Alexander Bauer, Nicolas Moitessier, Kjell Jorner and Jonas Boström. Their work appears in journals such as Journal of Chemical Information and Modeling, The Journal of Organic Chemistry, Chemical Communications, Nature Reviews Chemistry and ACS Omega.
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.