Keiko Nakano

1.5k citations
46 papers · 1.1k indexed · h-index 19
Topics
Immunotherapy and Immune Responses (12 papers)Asthma and respiratory diseases (11 papers)IL-33, ST2, and ILC Pathways (8 papers)
Partner nations
United StatesJapanFrance

In The Last Decade

Keiko Nakano

40 papers receiving 1.1k citations

Peers

Keiko Nakano
Comparison fields: 5 of 121
  • Immunology 554
  • Physiology 251
  • Molecular Biology 216
  • Oncology 192
  • Pulmonary and Respiratory Medicine 107
Replace Isao Ohno with:
Isao Ohno Japan
Guido Frumento Italy
Ji Min Seo South Korea
Krzysztof Bryniarski Poland
Anne C. Cunningham United Kingdom
Zhaoyang Li United States
Stephanie M. Wood Sweden
Samantha Donnelly United Kingdom
Sonja Koch Germany
Daniela Giordano Italy
Keiko Nakano relative to Isao Ohno Japan Isao Ohno's profile →
Citations per field
00.5×4.2×
Isao Ohno · 1×
Citations per year

Countries citing papers authored by Keiko Nakano

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Nakano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Nakano

This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Nakano. A scholar is included among the top collaborators of Keiko Nakano 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 Keiko Nakano. Keiko Nakano 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 3
2 0
3 0
4 0
5 16
6 12
7 28
8 19
9 33
10 45
11 7
12 138
13 169
14 6
15 25
16
Percutaneous cryoablation for malignant lung tumors under CT fluoroscopic guidance
1
17 42
18
Prostaglandin E_2 Inhibits Alveolar Bone Resorption in Experimental Periodontitis in Hamsters
1
19 27
20 5

About Keiko Nakano

Keiko Nakano is a scholar working on Immunology, Immunology and Allergy and Physiology, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (12 papers), Asthma and respiratory diseases (11 papers) and IL-33, ST2, and ILC Pathways (8 papers). The work is most often cited by research in Immunology (554 citations), Immunology and Allergy (87 citations) and Physiology (251 citations). Keiko Nakano has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Donald N. Cook, Hideki Nakano, Gregory S. Whitehead, Rhonda H. Wilson, Lauranell H. Burch, Shuichiro Maruoka, Meghan E. Free, Carl D. Bortner, Timothy P. Moran and Seddon Y. Thomas. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and The Journal of Immunology.

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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