R. Howk
Impact in
- Molecular Biology top 5%
- Fibroblast Growth Factor Research
- Glycosylation and Glycoproteins Research
- Protein Tyrosine Phosphatases
- Immunology and Allergy top 5%
Papers in
-
- RNA Interference and Gene Delivery 5
- Chemical Synthesis and Analysis 4
- DNA Repair Mechanisms 3
- Glycosylation and Glycoproteins Research 3
- RNA Research and Splicing 3
-
- Monoclonal and Polyclonal Antibodies Research 8
- Co-authors
- Michael Jaye (6 shared papers)George A. Ricca (5 shared papers)Joseph Schlessinger (5 shared papers)Mark W. Ravera (3 shared papers)David Givol (4 shared papers)Irit Lax (4 shared papers)Edward M. Scolnick (7 shared papers)Thomas Maciag (1 shared paper)
- Journals
- Journal of Virology (5 papers)Proceedings of the National Academy of Sciences (5 papers)Cell (2 papers)Molecular and Cellular Biology (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesGermanyPoland
In The Last Decade
R. Howk
27 papers receiving 2.2k citations
R. Howk's Hit Papers
Peers
Comparison fields: 5 of 97
- Molecular Biology 1.8k
- Immunology and Allergy 141
- Oncology 534
- Virology 92
- Cell Biology 316
Countries citing papers authored by R. Howk
This map shows the geographic impact of R. Howk'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 R. Howk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Howk more than expected).
Fields of papers citing papers by R. Howk
This network shows the impact of papers produced by R. Howk. 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 R. Howk. The network helps show where R. Howk may publish in the future.
Co-authors
The 25 scholars most cited alongside R. Howk, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Human Endothelial Cell Growth Factor: Cloning, Nucleotide Sequence, and Chromosome Localization Hit paper breakdown → | 1986 | 633 |
| 2 | 1989 | 201 | |
| 3 | 1990 | 177 | |
| 4 | 1987 | 175 | |
| 5 | 1989 | 169 | |
| 6 | 1988 | 167 | |
| 7 | 1977 | 121 | |
| 8 | 1994 | 109 | |
| 9 | 1975 | 108 | |
| 10 | 1979 | 92 | |
| 11 | 1978 | 86 | |
| 12 | 1974 | 71 | |
| 13 | 1969 | 57 | |
| 14 | 1976 | 50 | |
| 15 | 1988 | 48 | |
| 16 | 1973 | 37 | |
| 17 | 1975 | 32 | |
| 18 | 1967 | 29 | |
| 19 | 1973 | 26 | |
| 20 | 1980 | 19 |
About R. Howk
R. Howk is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Genetics, Oncology and Epidemiology, having authored 27 papers that have together received 2.5k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), Virus-based gene therapy research (6 papers), RNA Interference and Gene Delivery (5 papers), Chemical Synthesis and Analysis (4 papers), DNA Repair Mechanisms (3 papers), Glycosylation and Glycoproteins Research (3 papers), Polyomavirus and related diseases (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Immunology and Allergy (141 citations), Oncology (534 citations), Virology (92 citations) and Cell Biology (316 citations). R. Howk has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include Michael Jaye, George A. Ricca, Joseph Schlessinger, Mark W. Ravera, David Givol, Irit Lax, Edward M. Scolnick, Thomas Maciag, William S. Modi and Ing-Ming Chiu. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Cell, Molecular and Cellular Biology 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.