L.C. Reimer
- Microbiology top 2%
- Endocrinology top 5%
- Ecology top 5%
- Microbial Community Ecology and Physiology 6
- Biotechnology top 5%
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies 10
- Metabolomics and Mass Spectrometry Studies 4
- Biomedical Text Mining and Ontologies 3
- Microbial Metabolic Engineering and Bioproduction 2
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- Scientific Computing and Data Management 3
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- Advanced Proteomics Techniques and Applications 2
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- Amino Acid Enzymes and Metabolism 1
- Co-authors
- J. Sarda CarbasseJan P. Meier‐KolthoffMarkus GökerAidan C. ParteJörg OvermannChristian EbelingJulia KoblitzA. Podstawka
- Cited by
- MicrobiologyEndocrinologyEcology
- Partner nations
- GermanySwitzerlandUnited Kingdom
In The Last Decade
L.C. Reimer
17 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Microbiology 45
- Endocrinology 125
- Ecology 571
- Biotechnology 157
- Molecular Biology 1.2k
Countries citing papers authored by L.C. Reimer
This map shows the geographic impact of L.C. Reimer'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 L.C. Reimer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L.C. Reimer more than expected).
Fields of papers citing papers by L.C. Reimer
This network shows the impact of papers produced by L.C. Reimer. 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 L.C. Reimer. The network helps show where L.C. Reimer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside L.C. Reimer, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 5 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 25 | |
| 7 | 2022 | 38 | |
| 8 | 2022 | 1 | |
| 9 | 2021 | 136 | |
| 10 | List of Prokaryotic names with Standing in Nomenclature (LPSN) moves to the DSMZbreakdown → | 2020 | 1300 |
| 11 | 2018 | 120 | |
| 12 | 2017 | 7 | |
| 13 | 2017 | 4 | |
| 14 | 2015 | 37 | |
| 15 | 2014 | 10 | |
| 16 | 2009 | 56 | |
| 17 | 2000 | 23 |
About L.C. Reimer
L.C. Reimer is a scholar working on Microbiology, Information Systems and Management and Ecology, having authored 17 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), Microbial Community Ecology and Physiology (6 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Biomedical Text Mining and Ontologies (3 papers), Scientific Computing and Data Management (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Microbiology (45 citations), Endocrinology (125 citations) and Ecology (571 citations). L.C. Reimer has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include J. Sarda Carbasse, Jan P. Meier‐Kolthoff, Markus Göker, Aidan C. Parte, Jörg Overmann, Christian Ebeling, Julia Koblitz, A. Podstawka, Carola Söhngen and Dietmar Schomburg. Their work appears in journals such as Nucleic Acids Research, PLoS ONE, Journal of Biotechnology, Communications Biology and New Zealand Journal of Agricultural Research.
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.