Jerrold Fried
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Hematopoietic Stem Cell Transplantation
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Gene Regulatory Network Analysis 9
- Single-cell and spatial transcriptomics 4
- Hematology 19
- Acute Myeloid Leukemia Research 7
- Multiple Myeloma Research and Treatments 6
- Chronic Myeloid Leukemia Treatments 4
- Co-authors
- Bayard D. Clarkson (26 shared papers)B Clarkson (10 shared papers)A.G. Perez (4 shared papers)A Strife (12 shared papers)Takeshi Ohkita (3 shared papers)Kazuo Ota (3 shared papers)Yasunobu Sakai (3 shared papers)Richard A. Rifkind (1 shared paper)
- Journals
- Cancer (10 papers)Experimental Cell Research (6 papers)Blood (3 papers)Acta Haematologica (3 papers)Cell Proliferation (2 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Jerrold Fried
60 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 128
- Hematology 533
- Genetics 302
- Cancer Research 296
- Oncology 447
- Molecular Biology 1.0k
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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1976 | 227 | |
| 2 | 1976 | 165 | |
| 3 | 1967 | 144 | |
| 4 | 1978 | 125 | |
| 5 | 1977 | 118 | |
| 6 | 1970 | 116 | |
| 7 | 1982 | 115 | |
| 8 | 1977 | 95 | |
| 9 | 1985 | 77 | |
| 10 | 1971 | 77 | |
| 11 | 1979 | 72 | |
| 12 | 1970 | 65 | |
| 13 | 1973 | 57 | |
| 14 | 1982 | 52 | |
| 15 | 1970 | 50 | |
| 16 | 1977 | 48 | |
| 17 | 1975 | 42 | |
| 18 | 1978 | 35 | |
| 19 | 1984 | 34 | |
| 20 | 1977 | 33 |
About Jerrold Fried
Jerrold Fried is a scholar working on Molecular Biology, Hematology, Oncology, Public Health, Environmental and Occupational Health and Genetics, having authored 63 papers that have together received 2.3k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (9 papers), Acute Lymphoblastic Leukemia research (7 papers), Acute Myeloid Leukemia Research (7 papers), Multiple Myeloma Research and Treatments (6 papers), Chronic Lymphocytic Leukemia Research (6 papers), Single-cell and spatial transcriptomics (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Chronic Myeloid Leukemia Treatments (4 papers). The work is most often cited by research in Hematology (533 citations), Genetics (302 citations), Cancer Research (296 citations), Oncology (447 citations) and Molecular Biology (1.0k citations). Jerrold Fried has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Bayard D. Clarkson, B Clarkson, A.G. Perez, A Strife, Takeshi Ohkita, Kazuo Ota, Yasunobu Sakai, Richard A. Rifkind, P A Marks and M Terada. Their work appears in journals such as Cancer, Experimental Cell Research, Blood, Acta Haematologica and Cell Proliferation.
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.