Tomoko Ishifuji

511 total citations
9 papers, 363 citations indexed

About

Tomoko Ishifuji is a scholar working on Epidemiology, Infectious Diseases and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Tomoko Ishifuji has authored 9 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 2 papers in Infectious Diseases and 2 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Tomoko Ishifuji's work include Pneumonia and Respiratory Infections (8 papers), Respiratory viral infections research (4 papers) and Pneumocystis jirovecii pneumonia detection and treatment (2 papers). Tomoko Ishifuji is often cited by papers focused on Pneumonia and Respiratory Infections (8 papers), Respiratory viral infections research (4 papers) and Pneumocystis jirovecii pneumonia detection and treatment (2 papers). Tomoko Ishifuji collaborates with scholars based in Japan and United States. Tomoko Ishifuji's co-authors include Konosuke Morimoto, Masahiro Aoshima, Koya Ariyoshi, Motoi Suzuki, Makito Yaegashi, Norichika Asoh, Naohisa Hamashige, Masahiko Abe, Masayuki Ishida and Michio Yasunami and has published in prestigious journals such as PLoS ONE, European Respiratory Journal and The Lancet Infectious Diseases.

In The Last Decade

Tomoko Ishifuji

8 papers receiving 355 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tomoko Ishifuji Japan 5 286 50 45 35 34 9 363
Takaya Maruyama Japan 10 470 1.6× 38 0.8× 76 1.7× 59 1.7× 18 0.5× 19 562
Roberta Cavagna Italy 8 307 1.1× 85 1.7× 93 2.1× 16 0.5× 14 0.4× 13 406
N. Faelli Italy 13 335 1.2× 195 3.9× 75 1.7× 21 0.6× 11 0.3× 19 542
Clémence Cuvelier Switzerland 6 121 0.4× 40 0.8× 20 0.4× 10 0.3× 7 0.2× 9 271
S. Tansey United States 10 435 1.5× 61 1.2× 173 3.8× 9 0.3× 28 0.8× 17 548
Hannah Lawrence United Kingdom 6 194 0.7× 19 0.4× 41 0.9× 28 0.8× 6 0.2× 18 286
Nobuki Aoki Japan 9 183 0.6× 26 0.5× 26 0.6× 17 0.5× 6 0.2× 40 254
Rosanel Amaro Spain 13 253 0.9× 172 3.4× 20 0.4× 26 0.7× 10 0.3× 39 447
Kathleen A. Woodin United States 8 256 0.9× 117 2.3× 93 2.1× 25 0.7× 6 0.2× 9 446
S Germer Australia 4 206 0.7× 98 2.0× 87 1.9× 20 0.6× 4 0.1× 7 320

Countries citing papers authored by Tomoko Ishifuji

Since Specialization
Citations

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

Fields of papers citing papers by Tomoko Ishifuji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoko Ishifuji

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

All Works

9 of 9 papers shown
1.
Dhoubhadel, Bhim Gopal, Tomoko Ishifuji, Makito Yaegashi, et al.. (2022). High prevalence of multiple serotypes of pneumococci in patients with pneumonia and their associated risk factors. Thorax. 77(11). 1121–1130. 4 indexed citations
2.
Nemoto, Masahiro, Kei Nakashima, Satoshi Noma, et al.. (2020). Prognostic value of chest computed tomography in community-acquired pneumonia patients. ERJ Open Research. 6(4). 79–2020. 4 indexed citations
3.
Yasuda, Ikkoh, Tomoko Ishifuji, Yoshiro Yamashita, et al.. (2018). Severe Pneumonia Caused by ToxigenicCorynebacterium ulceransInfection, Japan. Emerging infectious diseases. 24(3). 588–591. 6 indexed citations
4.
Suzuki, Motoi, Bhim Gopal Dhoubhadel, Tomoko Ishifuji, et al.. (2017). Serotype-specific effectiveness of 23-valent pneumococcal polysaccharide vaccine against pneumococcal pneumonia in adults aged 65 years or older: a multicentre, prospective, test-negative design study. The Lancet Infectious Diseases. 17(3). 313–321. 134 indexed citations
5.
Ishifuji, Tomoko, Eiichiro Sando, Norihiro Kaneko, et al.. (2017). Recurrent pneumonia among Japanese adults: disease burden and risk factors. BMC Pulmonary Medicine. 17(1). 12–12. 24 indexed citations
6.
Katsurada, Naoko, Motoi Suzuki, Masahiro Aoshima, et al.. (2017). The impact of virus infections on pneumonia mortality is complex in adults: a prospective multicentre observational study. BMC Infectious Diseases. 17(1). 755–755. 35 indexed citations
7.
Morimoto, Konosuke, Motoi Suzuki, Tomoko Ishifuji, et al.. (2015). The Burden and Etiology of Community-Onset Pneumonia in the Aging Japanese Population: A Multicenter Prospective Study. PLoS ONE. 10(3). e0122247–e0122247. 155 indexed citations
8.
Ishifuji, Tomoko, Eiichiro Sando, Norihiro Kaneko, et al.. (2015). Medications associated with the incidence of recurrent pneumonia in Japanese elderly population. PA1838–PA1838.
9.
Aoshima, Masahiro, Koya Ariyoshi, Norichika Asoh, et al.. (2014). The two years of prospective hospital based multicenter adult pneumonia surveillance in Japan; the final year report of APSG-Japan. European Respiratory Journal. 44(Suppl 58). P1054–P1054. 1 indexed citations

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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