John H. Hash
Impact in
- Biotechnology top 5%
- Enzyme Production and Characterization
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- Glycosylation and Glycoproteins Research
- Biochemical and Structural Characterization
Papers in
-
- Biopolymer Synthesis and Applications 4
- Polyamine Metabolism and Applications 4
- Chemical Synthesis and Analysis 2
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- Microbial Metabolism and Applications 2
- Co-authors
- C. Richard Savage (1 shared paper)Stanley Cohen (1 shared paper)M. Ann Melly (3 shared papers)Kendall W. King (3 shared papers)J. Wai‐Kuo Shih (1 shared paper)P. Miller (4 shared papers)Marcia Wishnick (2 shared papers)John P. Robinson (5 shared papers)
- Journals
- Journal of Biological Chemistry (6 papers)Journal of Bacteriology (3 papers)Archives of Biochemistry and Biophysics (3 papers)Science (2 papers)Biochemistry (2 papers)
- Partner nations
- United States
In The Last Decade
John H. Hash
24 papers receiving 692 citations
Peers
Comparison fields: 5 of 95
- Biotechnology 135
- Molecular Biology 488
- Microbiology 38
- Infectious Diseases 105
- Endocrinology 26
Countries citing papers authored by John H. Hash
This map shows the geographic impact of John H. Hash'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 John H. Hash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John H. Hash more than expected).
Fields of papers citing papers by John H. Hash
This network shows the impact of papers produced by John H. Hash. 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 John H. Hash. The network helps show where John H. Hash may publish in the future.
Co-authors
The 15 scholars most cited alongside John H. Hash, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1973 | 193 | |
| 2 | 1967 | 93 | |
| 3 | 1974 | 80 | |
| 4 | 1963 | 75 | |
| 5 | 1971 | 59 | |
| 6 | 1964 | 50 | |
| 7 | 1958 | 43 | |
| 8 | 1974 | 41 | |
| 9 | 1983 | 37 | |
| 10 | 1972 | 20 | |
| 11 | 1958 | 18 | |
| 12 | 1981 | 16 | |
| 13 | 1954 | 14 | |
| 14 | 1982 | 12 | |
| 15 | 1964 | 11 | |
| 16 | 1979 | 11 | |
| 17 | 1962 | 9 | |
| 18 | 1975 | 8 | |
| 19 | 1975 | 8 | |
| 20 | 1978 | 6 |
About John H. Hash
John H. Hash is a scholar working on Molecular Biology, Biotechnology, Pharmacology, Organic Chemistry and Immunology, having authored 25 papers that have together received 819 indexed citations. Recurring topics across this work include Biopolymer Synthesis and Applications (4 papers), Polyamine Metabolism and Applications (4 papers), Chemical Reactions and Isotopes (2 papers), Microbial Natural Products and Biosynthesis (2 papers), Botulinum Toxin and Related Neurological Disorders (2 papers), Toxin Mechanisms and Immunotoxins (2 papers), Microbial Metabolism and Applications (2 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Biotechnology (135 citations), Molecular Biology (488 citations), Microbiology (38 citations), Infectious Diseases (105 citations) and Endocrinology (26 citations). John H. Hash has collaborated with scholars based in United States. Frequent co-authors include C. Richard Savage, Stanley Cohen, M. Ann Melly, Kendall W. King, J. Wai‐Kuo Shih, P. Miller, Marcia Wishnick, John P. Robinson, Samuel J. DiMari and Paul L. Fletcher. Their work appears in journals such as Journal of Biological Chemistry, Journal of Bacteriology, Archives of Biochemistry and Biophysics, Science and Biochemistry.
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.