B Sollner-Webb
Impact in
- Molecular Biology top 10%
- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- RNA regulation and disease
- CRISPR and Genetic Engineering
-
- Cancer-related molecular mechanisms research
Papers in
-
- RNA and protein synthesis mechanisms 7
- RNA modifications and cancer 3
- RNA Research and Splicing 3
- DNA and Nucleic Acid Chemistry 2
- RNA Interference and Gene Delivery 2
-
- Chromosomal and Genetic Variations 2
- Co-authors
- Susan Kass (2 shared papers)Joan A. Steitz (1 shared paper)Kazimierz Tyc (1 shared paper)Edward B. Mougey (2 shared papers)O. L. Miller (2 shared papers)Ann L. Beyer (2 shared papers)Yvonne N. Osheim (2 shared papers)Michael A. O’Reilly (2 shared papers)
- Journals
- Genes & Development (2 papers)Cell (2 papers)Molecular and Cellular Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Cold Spring Harbor Symposia on Quantitative Biology (1 paper)
- Partner nations
- United States
In The Last Decade
B Sollner-Webb
12 papers receiving 883 citations
Peers
Comparison fields: 5 of 55
- Molecular Biology 834
- Cancer Research 45
- Aging 5
- Plant Science 79
- Epidemiology 63
Countries citing papers authored by B Sollner-Webb
This map shows the geographic impact of B Sollner-Webb'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 B Sollner-Webb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B Sollner-Webb more than expected).
Fields of papers citing papers by B Sollner-Webb
This network shows the impact of papers produced by B Sollner-Webb. 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 B Sollner-Webb. The network helps show where B Sollner-Webb may publish in the future.
Co-authors
The 23 scholars most cited alongside B Sollner-Webb, 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 | 1990 | 415 | |
| 2 | 1993 | 156 | |
| 3 | 5'ETS rRNA processing facilitated by four small RNAs: U14, E3, U17, and U3. | 1996 | 85 |
| 4 | 1987 | 61 | |
| 5 | 1986 | 37 | |
| 6 | 1991 | 31 | |
| 7 | 1996 | 29 | |
| 8 | 1984 | 28 | |
| 9 | 1985 | 24 | |
| 10 | 1978 | 22 | |
| 11 | 2001 | 15 | |
| 12 | 1985 | 4 |
About B Sollner-Webb
B Sollner-Webb is a scholar working on Molecular Biology, Plant Science, Epidemiology, Genetics and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 907 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers), Trypanosoma species research and implications (2 papers), Animal Genetics and Reproduction (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Chromosomal and Genetic Variations (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Molecular Biology (834 citations), Cancer Research (45 citations), Aging (5 citations), Plant Science (79 citations) and Epidemiology (63 citations). B Sollner-Webb has collaborated with scholars based in United States. Frequent co-authors include Susan Kass, Joan A. Steitz, Kazimierz Tyc, Edward B. Mougey, O. L. Miller, Ann L. Beyer, Yvonne N. Osheim, Michael A. O’Reilly, George L. Eliceiri and Elizabeth S. Maxwell. Their work appears in journals such as Genes & Development, Cell, Molecular and Cellular Biology, Proceedings of the National Academy of Sciences and Cold Spring Harbor Symposia on Quantitative Biology.
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.