Maris Lapins
Impact in
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- Computational Drug Discovery Methods
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- Receptor Mechanisms and Signaling
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- Metabolomics and Mass Spectrometry Studies
- vaccines and immunoinformatics approaches
Papers in
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- Receptor Mechanisms and Signaling 6
- Metabolomics and Mass Spectrometry Studies 3
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- Computational Drug Discovery Methods 11
- Co-authors
- Jarl E. S. Wikberg (30 shared papers)Peteris Prūsis (15 shared papers)Torbjörn Lundstedt (4 shared papers)Ola Spjuth (11 shared papers)Staffan Uhlén (4 shared papers)Ramona Petrovska (6 shared papers)Aleksandrs Gutcaits (1 shared paper)Martin Eklund (5 shared papers)
In The Last Decade
Maris Lapins
34 papers receiving 971 citations
Peers
Comparison fields: 5 of 86
- Computational Theory and Mathematics 425
- Molecular Biology 631
- Biophysics 49
- Spectroscopy 121
- Endocrine and Autonomic Systems 44
Countries citing papers authored by Maris Lapins
This map shows the geographic impact of Maris Lapins'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 Maris Lapins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maris Lapins more than expected).
Fields of papers citing papers by Maris Lapins
This network shows the impact of papers produced by Maris Lapins. 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 Maris Lapins. The network helps show where Maris Lapins may publish in the future.
Co-authors
The 25 scholars most cited alongside Maris Lapins, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 109 | |
| 2 | 2002 | 86 | |
| 3 | 2002 | 74 | |
| 4 | 2005 | 68 | |
| 5 | 2008 | 61 | |
| 6 | 2010 | 51 | |
| 7 | 2018 | 47 | |
| 8 | 2008 | 40 | |
| 9 | 2013 | 37 | |
| 10 | 2003 | 33 | |
| 11 | 2005 | 33 | |
| 12 | 2006 | 32 | |
| 13 | 2013 | 31 | |
| 14 | 2004 | 31 | |
| 15 | 2009 | 24 | |
| 16 | 2011 | 24 | |
| 17 | 2006 | 22 | |
| 18 | 2010 | 22 | |
| 19 | 2021 | 20 | |
| 20 | 2002 | 17 |
About Maris Lapins
Maris Lapins is a scholar working on Molecular Biology, Computational Theory and Mathematics, Spectroscopy, Endocrine and Autonomic Systems and Nutrition and Dietetics, having authored 35 papers that have together received 986 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Receptor Mechanisms and Signaling (6 papers), Analytical Chemistry and Chromatography (6 papers), Biochemical Analysis and Sensing Techniques (5 papers), Regulation of Appetite and Obesity (5 papers), melanin and skin pigmentation (4 papers), HIV/AIDS drug development and treatment (3 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Computational Theory and Mathematics (425 citations), Molecular Biology (631 citations), Biophysics (49 citations), Spectroscopy (121 citations) and Endocrine and Autonomic Systems (44 citations). Maris Lapins has collaborated with scholars based in Sweden, Thailand and Norway. Frequent co-authors include Jarl E. S. Wikberg, Peteris Prūsis, Torbjörn Lundstedt, Ola Spjuth, Staffan Uhlén, Ramona Petrovska, Aleksandrs Gutcaits, Martin Eklund, Felikss Mutulis and Ilze Mutule. Their work appears in journals such as BMC Bioinformatics, Molecular Pharmacology, PLoS ONE, Bioinformatics and Proteins Structure Function and 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.