Lars Kiemer
Impact in
- Molecular Biology top 10%
- RNA Research and Splicing
- Nuclear Structure and Function
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- vaccines and immunoinformatics approaches
- Microbiology top 5%
Papers in
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- Microbial Metabolic Engineering and Bioproduction 2
- Machine Learning in Bioinformatics 2
- Bioinformatics and Genomic Networks 2
- RNA and protein synthesis mechanisms 2
- Glycosylation and Glycoproteins Research 1
- 14-3-3 protein interactions 1
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- Enzyme Production and Characterization 2
- Co-authors
- Søren Brunak (7 shared papers)Jannick Dyrløv Bendtsen (2 shared papers)Anne Mølgaard (1 shared paper)Karen Skriver (1 shared paper)Ramneek Gupta (1 shared paper)Nikolaj Blom (4 shared papers)Gianni Cesareni (4 shared papers)Ole Lund (1 shared paper)
In The Last Decade
Lars Kiemer
13 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 1.3k
- Microbiology 88
- Clinical Biochemistry 86
- Endocrinology 53
- Infectious Diseases 166
Countries citing papers authored by Lars Kiemer
This map shows the geographic impact of Lars Kiemer'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 Lars Kiemer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Kiemer more than expected).
Fields of papers citing papers by Lars Kiemer
This network shows the impact of papers produced by Lars Kiemer. 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 Lars Kiemer. The network helps show where Lars Kiemer may publish in the future.
Co-authors
The 25 scholars most cited alongside Lars Kiemer, 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 | 2004 | 659 | |
| 2 | 2005 | 587 | |
| 3 | 2006 | 161 | |
| 4 | 2004 | 111 | |
| 5 | 2013 | 97 | |
| 6 | 2004 | 91 | |
| 7 | 2007 | 73 | |
| 8 | 2007 | 65 | |
| 9 | 2006 | 52 | |
| 10 | 2010 | 34 | |
| 11 | 2005 | 30 | |
| 12 | 2017 | 6 | |
| 13 | 2023 | 1 |
About Lars Kiemer
Lars Kiemer is a scholar working on Molecular Biology, Biotechnology, Clinical Biochemistry, Language and Linguistics and Pharmacology, having authored 13 papers that have together received 2.0k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Machine Learning in Bioinformatics (2 papers), Bioinformatics and Genomic Networks (2 papers), RNA and protein synthesis mechanisms (2 papers), Enzyme Structure and Function (2 papers), Glycosylation and Glycoproteins Research (1 paper) and 14-3-3 protein interactions (1 paper). The work is most often cited by research in Molecular Biology (1.3k citations), Microbiology (88 citations), Clinical Biochemistry (86 citations), Endocrinology (53 citations) and Infectious Diseases (166 citations). Lars Kiemer has collaborated with scholars based in Denmark, Italy and Germany. Frequent co-authors include Søren Brunak, Jannick Dyrløv Bendtsen, Anne Mølgaard, Karen Skriver, Ramneek Gupta, Nikolaj Blom, Gianni Cesareni, Ole Lund, Stefano Costa and Marius Ueffing. Their work appears in journals such as PROTEOMICS, Glycobiology, Retrovirology, Proteins Structure Function and Bioinformatics and Cell Reports.
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.