E. Kaltschmidt
Impact in
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
- Genetics top 5%
- Bacterial Genetics and Biotechnology
Papers in
-
- RNA and protein synthesis mechanisms 17
- Genomics and Phylogenetic Studies 4
- RNA modifications and cancer 4
- Ecology 5
- Bacteriophages and microbial interactions 5
- Co-authors
- H. G. Wittmann (11 shared papers)M. Dzionara (5 shared papers)I Hindennach (2 shared papers)Michio Nomura (3 shared papers)H Nashimoto (1 shared paper)W. Held (1 shared paper)Lawrence Kahan (2 shared papers)Georg Stöffler (3 shared papers)
- Journals
- Analytical Biochemistry (3 papers)Proceedings of the National Academy of Sciences (3 papers)European Journal of Biochemistry (1 paper)Biochimie (1 paper)Biochemistry (1 paper)
- Partner nations
- GermanyUnited StatesHungary
In The Last Decade
E. Kaltschmidt
17 papers receiving 2.0k citations
E. Kaltschmidt's Hit Papers
Peers
Comparison fields: 5 of 86
- Molecular Biology 2.1k
- Genetics 511
- Ecology 394
- Spectroscopy 234
- Oncology 241
Countries citing papers authored by E. Kaltschmidt
This map shows the geographic impact of E. Kaltschmidt'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 E. Kaltschmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Kaltschmidt more than expected).
Fields of papers citing papers by E. Kaltschmidt
This network shows the impact of papers produced by E. Kaltschmidt. 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 E. Kaltschmidt. The network helps show where E. Kaltschmidt may publish in the future.
Co-authors
The 16 scholars most cited alongside E. Kaltschmidt, 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 | Ribosomal proteins. VII Hit paper breakdown → | 1970 | 1069 |
| 2 | 1970 | 262 | |
| 3 | 1971 | 161 | |
| 4 | 1970 | 117 | |
| 5 | 1970 | 115 | |
| 6 | 1971 | 108 | |
| 7 | 1971 | 107 | |
| 8 | 1971 | 86 | |
| 9 | 1967 | 63 | |
| 10 | 1972 | 53 | |
| 11 | 1970 | 39 | |
| 12 | 1972 | 33 | |
| 13 | 1974 | 27 | |
| 14 | 1969 | 24 | |
| 15 | 1971 | 6 | |
| 16 | 1972 | 2 | |
| 17 | 1968 | 1 |
About E. Kaltschmidt
E. Kaltschmidt is a scholar working on Molecular Biology, Ecology, Spectroscopy, Animal Science and Zoology and Oncology, having authored 17 papers that have together received 2.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (17 papers), Bacteriophages and microbial interactions (5 papers), Genomics and Phylogenetic Studies (4 papers), RNA modifications and cancer (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Meat and Animal Product Quality (2 papers), Probiotics and Fermented Foods (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Genetics (511 citations), Ecology (394 citations), Spectroscopy (234 citations) and Oncology (241 citations). E. Kaltschmidt has collaborated with scholars based in Germany, United States and Hungary. Frequent co-authors include H. G. Wittmann, M. Dzionara, I Hindennach, Michio Nomura, H Nashimoto, W. Held, Lawrence Kahan, Georg Stöffler, D. Donner and C. G. Kurland. Their work appears in journals such as Analytical Biochemistry, Proceedings of the National Academy of Sciences, European Journal of Biochemistry, Biochimie and 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.