H Bielka
- Molecular Biology top 5%
- Cell Biology top 5%
- Genetics top 10%
- Immunology top 10%
- Materials Chemistry
- Co-authors
- Joachim StahlHeinz WelfleMatthias GaestelRainer BenndorfGudrun LutschUlrich‐Axel BommerPeter WestermannMartin Wiedmann
- Topics
- RNA and protein synthesis mechanisms (76 papers)RNA modifications and cancer (61 papers)Monoclonal and Polyclonal Antibodies Research (12 papers)
- Cited by
- Molecular BiologyAgingCell Biology
In The Last Decade
H Bielka
106 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 2.3k
- Cell Biology 336
- Genetics 267
- Immunology 220
- Materials Chemistry 171
Countries citing papers authored by H Bielka
This map shows the geographic impact of H Bielka'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 Bielka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H Bielka more than expected).
Fields of papers citing papers by H Bielka
This network shows the impact of papers produced by H Bielka. 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 Bielka. The network helps show where H Bielka may publish in the future.
Co-authorship network of co-authors of H Bielka
This figure shows the co-authorship network connecting the top 25 collaborators of H Bielka. A scholar is included among the top collaborators of H Bielka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with H Bielka. H Bielka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 46 | |
| 3 | 65 | |
| 4 | 59 | |
| 5 | 37 | |
| 6 | 1 | |
| 7 | 96 | |
| 8 | The growth-related protein P23 of the Ehrlich ascites tumor: translational control, cloning and primary structure. | 91 |
| 9 | 19 | |
| 10 | 25 | |
| 11 | 27 | |
| 12 | The toxic A-chain of mistletoe lectin I: isolation and its effect on cell-free protein synthesis. | 7 |
| 13 | 48 | |
| 14 | Photoaffinity labeling of rat liver ribosomes by N-(2-nitro-4-azidobenzoyl)puromycin. | 4 |
| 15 | 24 | |
| 16 | 20 | |
| 17 | Preparation and properties of a Met-tRNAf binding factor from rat liver and rat hepatoma. | 3 |
| 18 | Studies on proteins of animal ribosomes. XXVIII. Preparation and antigenic properties of 40 S subunit proteins of rat liver ribosomes. | 3 |
| 19 | Localization of ribosomal protein S2 in rat liver ribosomes by immune electron microscopy. | 3 |
| 20 | 0 |
About H Bielka
H Bielka is a scholar working on Molecular Biology, Structural Biology and Radiology, Nuclear Medicine and Imaging, having authored 112 papers that have together received 2.7k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (76 papers), RNA modifications and cancer (61 papers) and Monoclonal and Polyclonal Antibodies Research (12 papers). The work is most often cited by research in Molecular Biology (2.3k citations), Aging (49 citations) and Cell Biology (336 citations). H Bielka has collaborated with scholars based in Germany, Russia and Sweden. Frequent co-authors include Joachim Stahl, Heinz Welfle, Matthias Gaestel, Rainer Benndorf, Gudrun Lutsch, Ulrich‐Axel Bommer, Peter Westermann, Martin Wiedmann, Tom A. Rapoport and Teymuras V. Kurzchalia. Their work appears in journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.
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.