Jerrold Fried
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Biophysics top 1%
- Cell Image Analysis Techniques
Papers in
- Hematology 23
- Acute Myeloid Leukemia Research 14
- Biophysics 12
- Cell Image Analysis Techniques 12
- Co-authors
- Bayard D. Clarkson (26 shared papers)B Clarkson (10 shared papers)A.G. Perez (4 shared papers)Annabel Strife (11 shared papers)Kazuo Ota (3 shared papers)Takeshi Ohkita (3 shared papers)Yasunobu Sakai (3 shared papers)Richard A. Rifkind (1 shared paper)
- Journals
- Cancer (10 papers)Experimental Cell Research (6 papers)Acta Haematologica (3 papers)Blood (2 papers)Mathematical Biosciences (2 papers)
- Partner nations
- United StatesIrelandGermany
In The Last Decade
Jerrold Fried
58 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 110
- Hematology 574
- Biophysics 243
- Modeling and Simulation 122
- Oncology 396
- Cell Biology 196
Countries citing papers authored by Jerrold Fried
This map shows the geographic impact of Jerrold Fried'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 Jerrold Fried with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jerrold Fried more than expected).
Fields of papers citing papers by Jerrold Fried
This network shows the impact of papers produced by Jerrold Fried. 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 Jerrold Fried. The network helps show where Jerrold Fried may publish in the future.
Co-authors
The 25 scholars most cited alongside Jerrold Fried, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1976 | 227 | |
| 2 | 1976 | 164 | |
| 3 | 1967 | 144 | |
| 4 | 1978 | 121 | |
| 5 | 1970 | 115 | |
| 6 | 1977 | 114 | |
| 7 | 1982 | 114 | |
| 8 | 1977 | 95 | |
| 9 | 1985 | 77 | |
| 10 | 1971 | 76 | |
| 11 | 1979 | 72 | |
| 12 | 1970 | 66 | |
| 13 | 1973 | 56 | |
| 14 | 1982 | 53 | |
| 15 | 1970 | 50 | |
| 16 | 1977 | 47 | |
| 17 | 1975 | 43 | |
| 18 | 1978 | 34 | |
| 19 | 1975 | 32 | |
| 20 | 1977 | 32 |
About Jerrold Fried
Jerrold Fried is a scholar working on Hematology, Biophysics, Modeling and Simulation, Oncology and Cell Biology, having authored 61 papers that have together received 2.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (14 papers), Cell Image Analysis Techniques (12 papers), Cancer-related Molecular Pathways (10 papers), Acute Lymphoblastic Leukemia research (7 papers), Microtubule and mitosis dynamics (6 papers), Cancer therapeutics and mechanisms (6 papers), Mathematical Biology Tumor Growth (6 papers) and Biochemical and Molecular Research (6 papers). The work is most often cited by research in Hematology (574 citations), Biophysics (243 citations), Modeling and Simulation (122 citations), Oncology (396 citations) and Cell Biology (196 citations). Jerrold Fried has collaborated with scholars based in United States, Ireland and Germany. Frequent co-authors include Bayard D. Clarkson, B Clarkson, A.G. Perez, Annabel Strife, Kazuo Ota, Takeshi Ohkita, Yasunobu Sakai, Richard A. Rifkind, Uri Nudel and M Terada. Their work appears in journals such as Cancer, Experimental Cell Research, Acta Haematologica, Blood and Mathematical Biosciences.
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.