Terry Newcomb
Impact in
- Genetics top 10%
- Virus-based gene therapy research
- Chronic Lymphocytic Leukemia Research
Papers in
-
- DNA Repair Mechanisms 3
- PI3K/AKT/mTOR signaling in cancer 3
- Genetics 7
- Chronic Lymphocytic Leukemia Research 7
- Co-authors
- Lawrence A. Loeb (3 shared papers)Heather Wilson‐Robles (1 shared paper)Margaret E. Black (1 shared paper)Christophe Quéva (1 shared paper)Varsha Gandhi (1 shared paper)Qingshan Yang (1 shared paper)Jesse E. Sisken (2 shared papers)R. Dyche Mullins (2 shared papers)
- Journals
- Journal of Clinical Oncology (3 papers)Blood (3 papers)Clinical Cancer Research (1 paper)Drug Metabolism Reviews (1 paper)Journal of Aerosol Medicine and Pulmonary Drug Delivery (1 paper)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Terry Newcomb
19 papers receiving 617 citations
Peers
Comparison fields: 5 of 73
- Genetics 101
- Aging 12
- Genetics 152
- Molecular Biology 378
- Biotechnology 38
Countries citing papers authored by Terry Newcomb
This map shows the geographic impact of Terry Newcomb'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 Terry Newcomb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Terry Newcomb more than expected).
Fields of papers citing papers by Terry Newcomb
This network shows the impact of papers produced by Terry Newcomb. 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 Terry Newcomb. The network helps show where Terry Newcomb may publish in the future.
Co-authors
The 25 scholars most cited alongside Terry Newcomb, 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 | 1996 | 220 | |
| 2 | 2015 | 176 | |
| 3 | 2013 | 45 | |
| 4 | 1993 | 32 | |
| 5 | 2000 | 29 | |
| 6 | 2000 | 24 | |
| 7 | 1999 | 19 | |
| 8 | 1995 | 18 | |
| 9 | 1999 | 14 | |
| 10 | 2015 | 14 | |
| 11 | 1993 | 12 | |
| 12 | 1994 | 11 | |
| 13 | 1998 | 10 | |
| 14 | 2013 | 4 | |
| 15 | 2001 | 3 | |
| 16 | 2015 | 2 | |
| 17 | 2016 | 2 | |
| 18 | 2016 | 2 | |
| 19 | 2015 | 1 |
About Terry Newcomb
Terry Newcomb is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Cancer Research and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 638 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (7 papers), DNA Repair Mechanisms (3 papers), Advanced Breast Cancer Therapies (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Lymphoma Diagnosis and Treatment (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cancer Genomics and Diagnostics (2 papers) and Carcinogens and Genotoxicity Assessment (2 papers). The work is most often cited by research in Genetics (101 citations), Aging (12 citations), Genetics (152 citations), Molecular Biology (378 citations) and Biotechnology (38 citations). Terry Newcomb has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Lawrence A. Loeb, Heather Wilson‐Robles, Margaret E. Black, Christophe Quéva, Varsha Gandhi, Qingshan Yang, Jesse E. Sisken, R. Dyche Mullins, Fred C. Christians and L. K. Tkeshelashvili. Their work appears in journals such as Journal of Clinical Oncology, Blood, Clinical Cancer Research, Drug Metabolism Reviews and Journal of Aerosol Medicine and Pulmonary Drug Delivery.
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.