Isabel G. Newton

1.9k citations
41 papers · 1.2k indexed · h-index 19
Topics
Hepatocellular Carcinoma Treatment and Prognosis (6 papers)Healthcare professionals’ stress and burnout (5 papers)Radiology practices and education (5 papers)

In The Last Decade

Isabel G. Newton

39 papers receiving 1.2k citations

Peers

Isabel G. Newton
Comparison fields: 5 of 118
  • Molecular Biology 270
  • Physiology 208
  • Radiology, Nuclear Medicine and Imaging 187
  • General Health Professions 149
  • Hepatology 139
Replace Sreeram V. Ramagopalan with:
Sreeram V. Ramagopalan United Kingdom
Susan Fernyak United States
Luiz Alexandre Viana Magno Brazil
Cindy Schneider Italy
Alice Liu United States
Barbara S. Giesser United States
Hong Cui China
Toshio Ogura Japan
Kunio Matsumoto Japan
Elizabeth P. Crowe United States
Isabel G. Newton relative to Sreeram V. Ramagopalan United Kingdom Sreeram V. Ramagopalan's profile →
Citations per field
00.5×6.3×
Sreeram V. Ramagopalan · 1×
Citations per year

Countries citing papers authored by Isabel G. Newton

Since Specialization
Citations

This map shows the geographic impact of Isabel G. Newton'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 Isabel G. Newton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabel G. Newton more than expected).

Fields of papers citing papers by Isabel G. Newton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Isabel G. Newton. 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 Isabel G. Newton. The network helps show where Isabel G. Newton may publish in the future.

Co-authorship network of co-authors of Isabel G. Newton

This figure shows the co-authorship network connecting the top 25 collaborators of Isabel G. Newton. A scholar is included among the top collaborators of Isabel G. Newton 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 Isabel G. Newton. Isabel G. Newton 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 7
2 1
3 6
4 6
5 4
6 1
7 65
8 34
9 26
10 3
11 18
12 20
13 103
14 10
15 9
16 40
17 26
18 182
19 65
20 45

About Isabel G. Newton

Isabel G. Newton is a scholar working on Hepatology, Developmental Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Healthcare professionals’ stress and burnout (5 papers) and Radiology practices and education (5 papers). The work is most often cited by research in Aging (70 citations), Hepatology (139 citations) and Developmental Neuroscience (72 citations). Isabel G. Newton has collaborated with scholars based in United States, Canada and Türkiye. Frequent co-authors include David R. Riddle, M. Elizabeth Forbes, Judy K. Brunso‐Bechtold, M. Constance Linville, Thomas B. Kinney, Michelle M. Adams, Michael P. André, Lei Shi, Ashley Long and Nicole F. Steinmetz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

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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