Naoko Udaka

1.5k total citations
39 papers, 1.1k citations indexed

About

Naoko Udaka is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Naoko Udaka has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Pulmonary and Respiratory Medicine and 12 papers in Surgery. Recurrent topics in Naoko Udaka's work include Neonatal Respiratory Health Research (9 papers), Glioma Diagnosis and Treatment (6 papers) and Congenital Diaphragmatic Hernia Studies (4 papers). Naoko Udaka is often cited by papers focused on Neonatal Respiratory Health Research (9 papers), Glioma Diagnosis and Treatment (6 papers) and Congenital Diaphragmatic Hernia Studies (4 papers). Naoko Udaka collaborates with scholars based in Japan, United States and France. Naoko Udaka's co-authors include Takaaki Ito, Hitoshi Kitamura, Takuya Yazawa, Koji Okudela, Ryoichiro Kageyama, Tetsuo Sudo, François Guillemot, Hiroshi Hayashi, Masayoshi Kanisawa and Nobuaki Tamamaki and has published in prestigious journals such as Development, The Journal of Comparative Neurology and American Journal Of Pathology.

In The Last Decade

Naoko Udaka

39 papers receiving 1.1k citations

Peers

Naoko Udaka
Comparison fields: 5 of 95
  • Molecular Biology 546
  • Pulmonary and Respiratory Medicine 302
  • Oncology 228
  • Surgery 201
  • Epidemiology 176
Replace Yuki Hirose with:
Yuki Hirose Japan
Motoshige Kudo Japan
Charlene D. Richardson United States
Glenda Hendson Canada
Ju‐Yeon Kim South Korea
Angela Emser Germany
Vittoria Carnicelli Italy
Takeru Hamashima Japan
Bruno Dipasquale United States
C. De Gaetani Italy
Yuki Hirose Japan View profile →
Citations per field, relative to Naoko Udaka
Naoko Udaka · 1×
Citations per year, relative to Naoko Udaka
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Countries citing papers authored by Naoko Udaka

Since Specialization
Citations

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

Fields of papers citing papers by Naoko Udaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoko Udaka

This figure shows the co-authorship network connecting the top 25 collaborators of Naoko Udaka. A scholar is included among the top collaborators of Naoko Udaka 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 Naoko Udaka. Naoko Udaka 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
# Work Indexed citations
1 3
2 18
3 7
4 70
5 5
6 4
7 2
8 63
9 17
10 22
11 8
12 46
13 7
14 329
15 79
16 30
17 54
18 10
19 10
20 4

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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