Jacob New

1.9k citations
25 papers · 1.2k indexed · 1 hit paper · h-index 12
Topics
Radiomics and Machine Learning in Medical Imaging (4 papers)Autophagy in Disease and Therapy (4 papers)Head and Neck Cancer Studies (4 papers)
Partner nations
United StatesIndia

In The Last Decade

Jacob New

22 papers receiving 1.2k citations

Hit Papers

Radiation-induced fibrosis: mechanisms and implications f...20152026201820222015100200300400

Peers

Jacob New
Comparison fields: 5 of 114
  • Molecular Biology 393
  • Radiology, Nuclear Medicine and Imaging 279
  • Epidemiology 251
  • Oncology 235
  • Pulmonary and Respiratory Medicine 204
Replace Wen‐Yu Chuang with:
Wen‐Yu Chuang Taiwan
Yao Yu United States
Bing Xing China
Kalil G. Abdullah United States
John Kang United States
Dukagjin Blakaj United States
Shuai Liu China
Michael Yu United States
Ji Yun Jeong South Korea
Shanqing Li China
Jacob New relative to Wen‐Yu Chuang Taiwan Wen‐Yu Chuang's profile →
Citations per field
00.5×
Wen‐Yu Chuang · 1×
Citations per year

Countries citing papers authored by Jacob New

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jacob New

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob New. A scholar is included among the top collaborators of Jacob New based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jacob New. Jacob New is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
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3 3
4 4
5 5
6 4
7 29
8 6
9 166
10 109
11 14
12 24
13 4
14 12
15 145
16 8
17 62
18 51
19 1
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Radiation-induced fibrosis: mechanisms and implications for therapybreakdown →
436

About Jacob New

Jacob New is a scholar working on Otorhinolaryngology, Health Informatics and Cancer Research, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Autophagy in Disease and Therapy (4 papers) and Head and Neck Cancer Studies (4 papers). The work is most often cited by research in Otorhinolaryngology (181 citations), Health Informatics (52 citations) and Radiology, Nuclear Medicine and Imaging (279 citations). Jacob New has collaborated with scholars based in United States and India. Frequent co-authors include Sufi M. Thomas, Yelizaveta Shnayder, Matthew Shew, Jeffrey Straub, Chris Lominska, Andrés M. Bur, Omar A. Karadaghy, Ossama Tawfik, Terance T. Tsue and Joan Lewis-Wambi. Their work appears in journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

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.

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