Naoki Sawada

4.9k total citations
81 papers, 3.8k citations indexed

About

Naoki Sawada is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Naoki Sawada has authored 81 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 20 papers in Physiology and 14 papers in Surgery. Recurrent topics in Naoki Sawada's work include Nitric Oxide and Endothelin Effects (9 papers), Protein Kinase Regulation and GTPase Signaling (8 papers) and Adipose Tissue and Metabolism (7 papers). Naoki Sawada is often cited by papers focused on Nitric Oxide and Endothelin Effects (9 papers), Protein Kinase Regulation and GTPase Signaling (8 papers) and Adipose Tissue and Metabolism (7 papers). Naoki Sawada collaborates with scholars based in Japan, United States and South Korea. Naoki Sawada's co-authors include James K. Liao, Hiroshi Itoh, Kazuwa Nakao, Yasutomo Fukunaga, Kentaro Doi, Ken Masatsugu, Jun K. Yamashita, Masakatsu Sone, Tae‐Hwa Chun and Mayumi Inoue and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Naoki Sawada

79 papers receiving 3.7k citations

Peers

Naoki Sawada
Comparison fields: 5 of 148
  • Molecular Biology 2.0k
  • Physiology 904
  • Epidemiology 546
  • Cardiology and Cardiovascular Medicine 536
  • Cell Biology 419
Angel Aponte United States
Satoshi Ogawa Japan
Lin Yan China
Balvin H.L. Chua United States
Changqing Xu China
Luigi Sironi Italy
Xinli Hu China
Yunchao Su United States
Qingping Feng Canada
Peter Sartipy Sweden
Angel Aponte United States View profile →
Citations per field, relative to Naoki Sawada
Naoki Sawada · 1×
Citations per year, relative to Naoki Sawada
Naoki Sawada · 1×

Countries citing papers authored by Naoki Sawada

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Sawada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Sawada

This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Sawada. A scholar is included among the top collaborators of Naoki Sawada 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 Naoki Sawada. Naoki Sawada 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 8
2 13
3
Evaluation of DNN-based Phoneme Estimation Approach on the NTCIR-12 SpokenQuery&Doc-2 SQ-STD Subtask.
0
4 44
5
Combination of DTW-based and CRF-based Spoken Term Detection on the NTCIR-11 SpokenQuery&Doc SQ-STD Subtask
0
6 70
7 6
8 1
9 312
10 35
11 142
12 10
13 29
14 20
15 37
16 56
17 8
18 68
19 55
20 18

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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