Jack Goldstein
Impact in
- Hematology top 5%
- Blood groups and transfusion
- Biotechnology top 5%
- Enzyme Production and Characterization
Papers in
-
- Glycosylation and Glycoproteins Research 9
- RNA and protein synthesis mechanisms 7
- RNA modifications and cancer 6
- RNA Research and Splicing 3
- Physiology 10
- Erythrocyte Function and Pathophysiology 9
- Co-authors
- Alex Zhu (7 shared papers)Robert Hill (3 shared papers)William H. Konigsberg (3 shared papers)Thomas Schleich (3 shared papers)Leslie L. Lenny (6 shared papers)Robert W. Holley (2 shared papers)Alan A. Waldman (4 shared papers)Lilian Reich (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Journal of Biological Chemistry (4 papers)Gene (3 papers)Archives of Biochemistry and Biophysics (3 papers)Vox Sanguinis (3 papers)
- Partner nations
- United States
In The Last Decade
Jack Goldstein
46 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 109
- Hematology 200
- Biotechnology 114
- Genetics 91
- Molecular Biology 617
- Cell Biology 139
Countries citing papers authored by Jack Goldstein
This map shows the geographic impact of Jack Goldstein'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 Jack Goldstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Goldstein more than expected).
Fields of papers citing papers by Jack Goldstein
This network shows the impact of papers produced by Jack Goldstein. 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 Jack Goldstein. The network helps show where Jack Goldstein may publish in the future.
Co-authors
The 25 scholars most cited alongside Jack Goldstein, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1982 | 121 | |
| 2 | 1998 | 98 | |
| 3 | 1963 | 92 | |
| 4 | 1994 | 64 | |
| 5 | 1963 | 59 | |
| 6 | 1966 | 59 | |
| 7 | 1995 | 50 | |
| 8 | 1989 | 42 | |
| 9 | 1996 | 39 | |
| 10 | 1964 | 38 | |
| 11 | 2000 | 34 | |
| 12 | 1959 | 31 | |
| 13 | 1973 | 31 | |
| 14 | 1996 | 28 | |
| 15 | 1964 | 26 | |
| 16 | 1961 | 26 | |
| 17 | 1960 | 23 | |
| 18 | 1989 | 22 | |
| 19 | 1963 | 21 | |
| 20 | 1995 | 21 |
About Jack Goldstein
Jack Goldstein is a scholar working on Molecular Biology, Physiology, Cell Biology, Surgery and Biotechnology, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (9 papers), Erythrocyte Function and Pathophysiology (9 papers), RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (6 papers), Hemoglobin structure and function (5 papers), Pancreatic function and diabetes (4 papers), Blood groups and transfusion (4 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Hematology (200 citations), Biotechnology (114 citations), Genetics (91 citations), Molecular Biology (617 citations) and Cell Biology (139 citations). Jack Goldstein has collaborated with scholars based in United States. Frequent co-authors include Alex Zhu, Robert Hill, William H. Konigsberg, Thomas Schleich, Leslie L. Lenny, Robert W. Holley, Alan A. Waldman, Lilian Reich, Lyman C. Craig and Thomas Peter Bennett. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Gene, Archives of Biochemistry and Biophysics and Vox Sanguinis.
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.