Naomi Noguchi

762 citations
28 papers · 495 indexed · h-index 11
Topics
Global Cancer Incidence and Screening (6 papers)AI in cancer detection (6 papers)Pelvic floor disorders treatments (5 papers)

In The Last Decade

Naomi Noguchi

25 papers receiving 479 citations

Peers

Naomi Noguchi
Comparison fields: 5 of 90
  • Artificial Intelligence 110
  • Radiology, Nuclear Medicine and Imaging 98
  • Pharmacology 90
  • Pulmonary and Respiratory Medicine 78
  • Oncology 57
Replace Miguel Burch with:
Miguel Burch United States
P. Smith United Kingdom
Edin Begić Bosnia and Herzegovina
Anshuman Sharma United States
Jelena Čelutkienė Lithuania
Jennifer Burns United States
Young Suk Kwon South Korea
Valeria Vietto Argentina
Yujie Wang China
Yasuhiro Matsubayashi Japan
Naomi Noguchi relative to Miguel Burch United States Miguel Burch's profile →
Citations per field
00.5×4.3×
Miguel Burch · 1×
Citations per year

Countries citing papers authored by Naomi Noguchi

Since Specialization
Citations

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

Fields of papers citing papers by Naomi Noguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Naomi Noguchi. 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 Naomi Noguchi. The network helps show where Naomi Noguchi may publish in the future.

Co-authorship network of co-authors of Naomi Noguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Naomi Noguchi. A scholar is included among the top collaborators of Naomi Noguchi 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 Naomi Noguchi. Naomi Noguchi 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
2 0
3 8
4 0
5 5
6 1
7 4
8 5
9 16
10 13
11 24
12 2
13 7
14 13
15 130
16
Natural history of post-void residual urine volume (PVR) over five years in community-dwelling older men
0
17 39
18 4
19
Vascular tracheobronchial compression syndrome in adults: a review.
12
20 1

About Naomi Noguchi

Naomi Noguchi is a scholar working on Health Informatics, Urology and Geriatrics and Gerontology, having authored 28 papers that have together received 495 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (6 papers), AI in cancer detection (6 papers) and Pelvic floor disorders treatments (5 papers). The work is most often cited by research in Health Informatics (53 citations), Geriatrics and Gerontology (55 citations) and Urology (51 citations). Naomi Noguchi has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include Fiona Blyth, Nehmat Houssami, Christoph I. Lee, Vasi Naganathan, M. Luke Marinovich, Robert G. Cumming, Lewis Chan, David G. Le Couteur, David J. Handelsman and Louise M. Waite. Their work appears in journals such as The Journal of Urology, British Journal of Cancer and British journal of surgery.

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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