N. Ulbrich
Impact in
-
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- Glycosylation and Glycoproteins Research
- Microbiology top 10%
- Antimicrobial Peptides and Activities
Papers in
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- RNA and protein synthesis mechanisms 12
- RNA modifications and cancer 7
-
- Aerodynamics and Fluid Dynamics Research 5
- Aerodynamics and Acoustics in Jet Flows 4
- Co-authors
- Ira G. Wool (10 shared papers)Kazuo Todokoro (5 shared papers)Kunio Tsurugi (2 shared papers)U. Ståhl (2 shared papers)E. Collatz (2 shared papers)Stephan Wnendt (2 shared papers)Angyi Lin (3 shared papers)E Ackerman (4 shared papers)
- Journals
- Journal of Biological Chemistry (11 papers)Nucleic Acids Research (4 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (3 papers)Current Genetics (1 paper)Gene (1 paper)
- Partner nations
- United StatesGermanyPoland
In The Last Decade
N. Ulbrich
38 papers receiving 684 citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 536
- Microbiology 44
- Cancer Research 77
- Biotechnology 44
- Immunology 99
Countries citing papers authored by N. Ulbrich
This map shows the geographic impact of N. Ulbrich'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 N. Ulbrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Ulbrich more than expected).
Fields of papers citing papers by N. Ulbrich
This network shows the impact of papers produced by N. Ulbrich. 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 N. Ulbrich. The network helps show where N. Ulbrich may publish in the future.
Co-authors
The 25 scholars most cited alongside N. Ulbrich, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1978 | 110 | |
| 2 | 1978 | 84 | |
| 3 | 1994 | 69 | |
| 4 | 1977 | 63 | |
| 5 | 1979 | 46 | |
| 6 | 1996 | 37 | |
| 7 | 1980 | 32 | |
| 8 | 1976 | 28 | |
| 9 | 1995 | 23 | |
| 10 | 1980 | 22 | |
| 11 | 1988 | 22 | |
| 12 | 1993 | 21 | |
| 13 | 1981 | 19 | |
| 14 | 1994 | 18 | |
| 15 | 1998 | 16 | |
| 16 | 1994 | 13 | |
| 17 | 2002 | 12 | |
| 18 | 1995 | 12 | |
| 19 | 1982 | 11 | |
| 20 | 1994 | 10 |
About N. Ulbrich
N. Ulbrich is a scholar working on Molecular Biology, Aerospace Engineering, Computational Mechanics, Cancer Research and Hematology, having authored 41 papers that have together received 760 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (12 papers), RNA modifications and cancer (7 papers), Protease and Inhibitor Mechanisms (6 papers), Computational Fluid Dynamics and Aerodynamics (6 papers), Wind and Air Flow Studies (5 papers), Aerodynamics and Fluid Dynamics Research (5 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers) and Aerodynamics and Acoustics in Jet Flows (4 papers). The work is most often cited by research in Molecular Biology (536 citations), Microbiology (44 citations), Cancer Research (77 citations), Biotechnology (44 citations) and Immunology (99 citations). N. Ulbrich has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include Ira G. Wool, Kazuo Todokoro, Kunio Tsurugi, U. Ståhl, E. Collatz, Stephan Wnendt, Angyi Lin, E Ackerman, Dagmar Orgel and H Kolkenbrock. Their work appears in journals such as Journal of Biological Chemistry, Nucleic Acids Research, Clinical Chemistry and Laboratory Medicine (CCLM), Current Genetics and Gene.
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.