L.C. Reimer
Impact in
- Microbiology top 2%
- Endocrinology top 5%
Papers in
-
- Genomics and Phylogenetic Studies 10
- Metabolomics and Mass Spectrometry Studies 4
- Biomedical Text Mining and Ontologies 3
- Microbial Metabolic Engineering and Bioproduction 2
- Ecology 8
- Microbial Community Ecology and Physiology 7
- Co-authors
- J. Sarda Carbasse (2 shared papers)Markus Göker (2 shared papers)Jan P. Meier‐Kolthoff (1 shared paper)Aidan C. Parte (1 shared paper)Jörg Overmann (11 shared papers)Christian Ebeling (5 shared papers)Julia Koblitz (8 shared papers)A. Podstawka (4 shared papers)
- Journals
- Nucleic Acids Research (9 papers)PLoS ONE (2 papers)BioScience (1 paper)New Zealand Journal of Agricultural Research (1 paper)Analytical Biochemistry (1 paper)
- Partner nations
- GermanyNew ZealandBelgium
In The Last Decade
L.C. Reimer
18 papers receiving 1.9k citations
L.C. Reimer's Hit Papers
Peers
Comparison fields: 5 of 121
- Microbiology 48
- Endocrinology 130
- Ecology 590
- Biotechnology 158
- 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-authors
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 | List of Prokaryotic names with Standing in Nomenclature (LPSN) moves to the DSMZ Hit paper breakdown → | 2020 | 1402 |
| 2 | 2021 | 145 | |
| 3 | 2018 | 127 | |
| 4 | 2009 | 58 | |
| 5 | 2022 | 42 | |
| 6 | 2015 | 40 | |
| 7 | 2024 | 36 | |
| 8 | 2000 | 23 | |
| 9 | 2025 | 12 | |
| 10 | 2014 | 11 | |
| 11 | 2017 | 8 | |
| 12 | 2024 | 5 | |
| 13 | 2017 | 4 | |
| 14 | 2022 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2022 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About L.C. Reimer
L.C. Reimer is a scholar working on Molecular Biology, Ecology, Information Systems and Management, Spectroscopy and Pharmacology, having authored 20 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), Microbial Community Ecology and Physiology (7 papers), Scientific Computing and Data Management (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Biomedical Text Mining and Ontologies (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Species Distribution and Climate Change (1 paper). The work is most often cited by research in Microbiology (48 citations), Endocrinology (130 citations), Ecology (590 citations), Biotechnology (158 citations) and Molecular Biology (1.2k citations). L.C. Reimer has collaborated with scholars based in Germany, New Zealand and Belgium. Frequent co-authors include J. Sarda Carbasse, Markus Göker, Jan P. Meier‐Kolthoff, 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, BioScience, New Zealand Journal of Agricultural Research and Analytical Biochemistry.
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.