Jacob New
Impact in
- Otorhinolaryngology top 2%
- Head and Neck Cancer Studies
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 4
- Co-authors
- Sufi M. Thomas (11 shared papers)Yelizaveta Shnayder (5 shared papers)Matthew Shew (5 shared papers)Chris Lominska (2 shared papers)Jeffrey Straub (2 shared papers)Andrés M. Bur (5 shared papers)Omar A. Karadaghy (2 shared papers)Ossama Tawfik (6 shared papers)
- Journals
- Otolaryngology (3 papers)Autophagy (2 papers)Scientific Reports (2 papers)Cancer Research (2 papers)International Journal of Medical Informatics (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Jacob New
22 papers receiving 1.2k citations
Jacob New's Hit Papers
Peers
Comparison fields: 5 of 114
- Otorhinolaryngology 181
- Health Informatics 52
- Radiology, Nuclear Medicine and Imaging 279
- Cancer Research 168
- Physiology 43
Countries citing papers authored by Jacob New
This map shows the geographic impact of Jacob New'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 Jacob New with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob New more than expected).
Fields of papers citing papers by Jacob New
This network shows the impact of papers produced by Jacob New. 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 Jacob New. The network helps show where Jacob New may publish in the future.
Co-authors
The 25 scholars most cited alongside Jacob New, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Radiation-induced fibrosis: mechanisms and implications for therapy Hit paper breakdown → | 2015 | 436 |
| 2 | 2019 | 166 | |
| 3 | 2017 | 145 | |
| 4 | 2019 | 109 | |
| 5 | 2019 | 81 | |
| 6 | 2016 | 62 | |
| 7 | 2016 | 51 | |
| 8 | 2019 | 34 | |
| 9 | 2019 | 29 | |
| 10 | 2018 | 24 | |
| 11 | 2019 | 14 | |
| 12 | 2018 | 12 | |
| 13 | 2017 | 8 | |
| 14 | 2019 | 6 | |
| 15 | 2021 | 5 | |
| 16 | 2019 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2018 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 3 |
About Jacob New
Jacob New is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cancer Research, Surgery and Otorhinolaryngology, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Autophagy in Disease and Therapy (4 papers), Cancer-related molecular mechanisms research (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Soft tissue tumor case studies (2 papers), MicroRNA in disease regulation (2 papers) and Opioid Use Disorder Treatment (2 papers). The work is most often cited by research in Otorhinolaryngology (181 citations), Health Informatics (52 citations), Radiology, Nuclear Medicine and Imaging (279 citations), Cancer Research (168 citations) and Physiology (43 citations). Jacob New has collaborated with scholars based in United States and India. Frequent co-authors include Sufi M. Thomas, Yelizaveta Shnayder, Matthew Shew, Chris Lominska, Jeffrey Straub, Andrés M. Bur, Omar A. Karadaghy, Ossama Tawfik, Terance T. Tsue and Kiran Kakarala. Their work appears in journals such as Otolaryngology, Autophagy, Scientific Reports, Cancer Research and International Journal of Medical Informatics.
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.