Naomi Kitamoto

583 total citations
6 papers, 300 citations indexed

About

Naomi Kitamoto is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Naomi Kitamoto has authored 6 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 2 papers in Infectious Diseases and 2 papers in Molecular Biology. Recurrent topics in Naomi Kitamoto's work include Fungal Infections and Studies (2 papers), Pneumonia and Respiratory Infections (2 papers) and CAR-T cell therapy research (2 papers). Naomi Kitamoto is often cited by papers focused on Fungal Infections and Studies (2 papers), Pneumonia and Respiratory Infections (2 papers) and CAR-T cell therapy research (2 papers). Naomi Kitamoto collaborates with scholars based in Japan and United States. Naomi Kitamoto's co-authors include Haruki Takeuchi, Yusuke Tominari, Rieko Ajima, Risako Nakano, Ken‐ichiro Hayashi, Yuichiro Saito, Hirofumi Nakaoka, Kosuke Fukui, Masato T. Kanemaki and Kanae Gamo and has published in prestigious journals such as Nature Communications, Journal of Cell Science and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Naomi Kitamoto

5 papers receiving 295 citations

Peers

Naomi Kitamoto
Comparison fields: 5 of 49
  • Molecular Biology 234
  • Cell Biology 44
  • Plant Science 39
  • Oncology 33
  • Epidemiology 28
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Paula Portela Argentina
Jung-Yu Tung Taiwan
Kristi E. Miller United States
Jennifer Reed United States
Kausik Chakrabarti United States
Blanka Sengerová United Kingdom
Sabine Wenzel United States
Paulina Prorok France
Raghuvar Dronamraju United States
Jessica J. R. Hudson United Kingdom
Paula Portela Argentina View profile →
Citations per field, relative to Naomi Kitamoto
Naomi Kitamoto · 1×
Citations per year, relative to Naomi Kitamoto
Naomi Kitamoto · 1×

Countries citing papers authored by Naomi Kitamoto

Since Specialization
Citations

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

Fields of papers citing papers by Naomi Kitamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naomi Kitamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Naomi Kitamoto. A scholar is included among the top collaborators of Naomi Kitamoto 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 Kitamoto. Naomi Kitamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
# Work Indexed citations
1 1
2 266
3 9
4 13
5 10
6
Sequential administration of cefotiam and cefotiam hexetil against experimental respiratory tract infection caused by klebsiella pneumoniae in mice
1

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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