H. Mayer
Impact in
- Endocrinology top 0.5%
- Escherichia coli research studies
- Nephrology top 1%
- Parathyroid Disorders and Treatments
Papers in
-
- Glycosylation and Glycoproteins Research 10
- Genetics 25
- Bacterial Genetics and Biotechnology 18
- Co-authors
- J. Weckesser (26 shared papers)Gerhart Drews (9 shared papers)P. Helena Mäkelä (7 shared papers)J. Silver (1 shared paper)M. M. Popovtzer (1 shared paper)Tally Naveh‐Many (1 shared paper)J. H. Krauss (8 shared papers)G Schmidt (9 shared papers)
- Journals
- Journal of Bacteriology (26 papers)Archives of Microbiology (14 papers)Infection and Immunity (10 papers)Calcified Tissue International (4 papers)Biochemical Journal (3 papers)
- Partner nations
- GermanyUnited StatesPoland
In The Last Decade
H. Mayer
122 papers receiving 3.8k citations
H. Mayer's Hit Papers
Peers
Comparison fields: 5 of 137
- Endocrinology 696
- Nephrology 391
- Molecular Medicine 147
- Genetics 790
- Small Animals 206
Countries citing papers authored by H. Mayer
This map shows the geographic impact of H. Mayer'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 H. Mayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Mayer more than expected).
Fields of papers citing papers by H. Mayer
This network shows the impact of papers produced by H. Mayer. 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 H. Mayer. The network helps show where H. Mayer may publish in the future.
Co-authors
The 25 scholars most cited alongside H. Mayer, 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 123 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Regulation by vitamin D metabolites of parathyroid hormone gene transcription in vivo in the rat. Hit paper breakdown → | 1986 | 452 |
| 2 | 1990 | 207 | |
| 3 | 1990 | 152 | |
| 4 | 1979 | 147 | |
| 5 | 1990 | 125 | |
| 6 | 1976 | 111 | |
| 7 | 1985 | 96 | |
| 8 | 1991 | 96 | |
| 9 | 1989 | 84 | |
| 10 | 1989 | 84 | |
| 11 | 1991 | 78 | |
| 12 | 1985 | 69 | |
| 13 | 1988 | 67 | |
| 14 | 1982 | 66 | |
| 15 | 1974 | 63 | |
| 16 | 1990 | 62 | |
| 17 | 1986 | 58 | |
| 18 | 1994 | 52 | |
| 19 | 2007 | 51 | |
| 20 | 1980 | 48 |
About H. Mayer
H. Mayer is a scholar working on Molecular Biology, Genetics, Endocrinology, Organic Chemistry and Ecology, having authored 123 papers that have together received 4.2k indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (23 papers), Escherichia coli research studies (21 papers), Bacterial Genetics and Biotechnology (18 papers), Bacteriophages and microbial interactions (14 papers), Glycosylation and Glycoproteins Research (10 papers), Probiotics and Fermented Foods (10 papers), Legume Nitrogen Fixing Symbiosis (9 papers) and Diet, Metabolism, and Disease (9 papers). The work is most often cited by research in Endocrinology (696 citations), Nephrology (391 citations), Molecular Medicine (147 citations), Genetics (790 citations) and Small Animals (206 citations). H. Mayer has collaborated with scholars based in Germany, United States and Poland. Frequent co-authors include J. Weckesser, Gerhart Drews, P. Helena Mäkelä, J. Silver, M. M. Popovtzer, Tally Naveh‐Many, J. H. Krauss, G Schmidt, U. Ramadas Bhat and Michael P. Busch. Their work appears in journals such as Journal of Bacteriology, Archives of Microbiology, Infection and Immunity, Calcified Tissue International and Biochemical Journal.
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.