C.J. Cornell
- Internal Medicine top 2%
- Venous Thromboembolism Diagnosis and Management 3
- Hematology top 5%
- Multiple Myeloma Research and Treatments 2
- Genetics top 10%
- Virus-based gene therapy research 2
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- Lung Cancer Research Studies 3
- Polyomavirus and related diseases 2
- Peptidase Inhibition and Analysis 2
- Emergency Medical Services top 10%
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- Neuroendocrine Tumor Research Advances 2
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- Acute Lymphoblastic Leukemia research 2
- Co-authors
- Leo R. ZacharskiWalter B. FormanWilliam G. HendersonFrederick R. RicklesElwood HeadleyHau C. KwaanJoseph F. O’DonnellKarl Tornyos
- Cited by
- Internal MedicineHematologyGenetics
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
C.J. Cornell
18 papers receiving 797 citations
Peers
Comparison fields: 5 of 73
- Internal Medicine 242
- Hematology 335
- Genetics 124
- Oncology 175
- Emergency Medical Services 44
Countries citing papers authored by C.J. Cornell
This map shows the geographic impact of C.J. Cornell'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 C.J. Cornell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C.J. Cornell more than expected).
Fields of papers citing papers by C.J. Cornell
This network shows the impact of papers produced by C.J. Cornell. 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 C.J. Cornell. The network helps show where C.J. Cornell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside C.J. Cornell, 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 | 2010 | 6 | |
| 2 | Effects of treatment with 5-azacytidine on the in vivo and in vitro hematopoiesis in patients with myelodysplastic syndromes. | 1993 | 169 |
| 3 | 1991 | 36 | |
| 4 | 1990 | 1 | |
| 5 | 1990 | 18 | |
| 6 | 1987 | 3 | |
| 7 | 1987 | 128 | |
| 8 | 1984 | 274 | |
| 9 | 1984 | 46 | |
| 10 | 1984 | 3 | |
| 11 | 1982 | 21 | |
| 12 | 1979 | 15 | |
| 13 | 1979 | 0 | |
| 14 | 1979 | 1 | |
| 15 | 1979 | 87 | |
| 16 | 1979 | 10 | |
| 17 | 1979 | 1 | |
| 18 | The interaction of erythropoietin with fetal liver cells. I. Measurement of proliferation by tritiated thymidine incorporation. | 1977 | 8 |
| 19 | 1976 | 15 |
About C.J. Cornell
C.J. Cornell is a scholar working on Internal Medicine, Hematology, Genetics, Oncology and Epidemiology, having authored 19 papers that have together received 842 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Virus-based gene therapy research (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Multiple Myeloma Research and Treatments (2 papers), Polyomavirus and related diseases (2 papers), Acute Lymphoblastic Leukemia research (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Internal Medicine (242 citations), Hematology (335 citations), Genetics (124 citations), Oncology (175 citations) and Emergency Medical Services (44 citations). C.J. Cornell has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Leo R. Zacharski, Walter B. Forman, William G. Henderson, Frederick R. Rickles, Elwood Headley, Hau C. Kwaan, Joseph F. O’Donnell, Karl Tornyos, Richard L. Edwards and R. Jackson Forcier. Their work appears in journals such as Blood, Cancer, British Journal of Cancer, Haemophilia and The Journal of Urology.
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.