Michael W. Hunkapiller
- Molecular Biology top 0.5%
- RNA and protein synthesis mechanisms 14
- Chemical Synthesis and Analysis 8
- Glycosylation and Glycoproteins Research 7
- Genomics and Phylogenetic Studies 7
- Nicotinic Acetylcholine Receptors Study 6
- Cellular and Molecular Neuroscience top 0.5%
- Neurobiology and Insect Physiology Research 7
- Genetics top 0.5%
- Cell Biology top 1%
- Biotechnology top 1%
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- Advanced Proteomics Techniques and Applications 8
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- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- Leroy HoodWilliam J. DreyerRodney M. HewickHarry N. AntoniadesSushilkumar G. DevareKeith C. RobbinsStuart A. AaronsonGeorge J. Todaro
- Partner nations
- United StatesItalyCanada
In The Last Decade
Michael W. Hunkapiller
86 papers receiving 12.1k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Molecular Biology 8.9k
- Cellular and Molecular Neuroscience 2.0k
- Genetics 1.9k
- Cell Biology 992
- Biotechnology 501
Countries citing papers authored by Michael W. Hunkapiller
This map shows the geographic impact of Michael W. Hunkapiller'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 Michael W. Hunkapiller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael W. Hunkapiller more than expected).
Fields of papers citing papers by Michael W. Hunkapiller
This network shows the impact of papers produced by Michael W. Hunkapiller. 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 Michael W. Hunkapiller. The network helps show where Michael W. Hunkapiller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael W. Hunkapiller, 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 | 2019 | 81 | |
| 2 | Resolving the complexity of the human genome using single-molecule sequencingbreakdown → | 2014 | 499 |
| 3 | 1991 | 11 | |
| 4 | 1988 | 18 | |
| 5 | 1987 | 41 | |
| 6 | Rat Transforming Growth Factor Type 1: Structure and Relation to Epidermal Growth Factorbreakdown → | 1984 | 570 |
| 7 | [36] High-sensitivity sequencing with a gas-phase sequenatorbreakdown → | 1983 | 612 |
| 8 | 1983 | 42 | |
| 9 | 1983 | 9 | |
| 10 | 1983 | 79 | |
| 11 | 1982 | 3 | |
| 12 | 1982 | 149 | |
| 13 | 1982 | 69 | |
| 14 | 1981 | 5 | |
| 15 | 1981 | 76 | |
| 16 | 1980 | 1 | |
| 17 | 1980 | 1 | |
| 18 | 1980 | 119 | |
| 19 | 1979 | 18 | |
| 20 | 1979 | 142 |
About Michael W. Hunkapiller
Michael W. Hunkapiller is a scholar working on Molecular Biology, Spectroscopy and Structural Biology, having authored 86 papers that have together received 13.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (14 papers), Advanced Proteomics Techniques and Applications (8 papers), Chemical Synthesis and Analysis (8 papers), Neurobiology and Insect Physiology Research (7 papers), Glycosylation and Glycoproteins Research (7 papers), Genomics and Phylogenetic Studies (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Nicotinic Acetylcholine Receptors Study (6 papers). The work is most often cited by research in Molecular Biology (8.9k citations), Cellular and Molecular Neuroscience (2.0k citations) and Genetics (1.9k citations). Michael W. Hunkapiller has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Leroy Hood, William J. Dreyer, Rodney M. Hewick, Harry N. Antoniades, Sushilkumar G. Devare, Keith C. Robbins, Stuart A. Aaronson, George J. Todaro, Hans Marquardt and Louise I. Lowney. Their work appears in journals such as Nature, Science and Cell.
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.