Jiro Fujita

10.4k citations
489 papers · 6.9k indexed · h-index 38

Jiro Fujita

457 papers receiving 6.7k citations

Peers

Jiro Fujita
Comparison fields: 5 of 155
  • Endocrinology 392
  • Microbiology 49
  • Infectious Diseases 1.2k
  • Epidemiology 2.1k
  • Pulmonary and Respiratory Medicine 1.9k
Replace Katsunori Yanagihara with:
Katsunori Yanagihara Japan
Koichi Izumikawa Japan
Ulrich Vogel Germany
Yoshitsugu Miyazaki Japan
Qing Zhang China
Roberto Martínez Brazil
Gerald L. Mandell United States
R. van Furth Netherlands
Mitsuo Kaku Japan
Susan M. Harrington United States
Jiro Fujita relative to Katsunori Yanagihara Japan Katsunori Yanagihara's profile →
Citations per field
00.5×1.5×2.1×
Katsunori Yanagihara · 1×
Citations per year

Countries citing papers authored by Jiro Fujita

Since Specialization
Citations

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

Fields of papers citing papers by Jiro Fujita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jiro Fujita, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jiro Fujita Line = papers co-authored together Jiro Fujita links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20230
2 202312
3
The First Case of Community-Acquired Pneumonia Due to Capsular Genotype K2-ST86 Hypervirulent Klebsiella pneumoniae in Okinawa, Japan: A Case Report and Literature Review
20201
4 202025
5 20200
6 20196
7 20190
8 201810
9 201711
10 201117
11 20085
12 20072
13 20061
14
[Low-dose multi-slice CT (LMCT) assessment of pulmonary emphysema in public-school teachers].
20031
15 19999
16 199836
17
Identification of Macrophage Metalloelastase in Hepatocellular Carcinoma:Correlation With Angiostatin Generation and its Clinical Significance
19985
18 199714
19
Pulmonary Inflammatory Pseudotumor Complicated with Left Total Lung Atelectasis due to Intrabronchial Growth
19941
20 19924

About Jiro Fujita

Jiro Fujita is a scholar working on Endocrinology, Epidemiology and Molecular Medicine, having authored 489 papers that have together received 6.9k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (56 papers), Pneumonia and Respiratory Infections (49 papers), Mycobacterium research and diagnosis (45 papers), Medical Imaging and Pathology Studies (34 papers), Respiratory viral infections research (29 papers), Tuberculosis Research and Epidemiology (29 papers), Antibiotic Resistance in Bacteria (25 papers) and Legionella and Acanthamoeba research (24 papers). The work is most often cited by research in Endocrinology (392 citations), Microbiology (49 citations) and Infectious Diseases (1.2k citations). Jiro Fujita has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Takeshi Kinjo, Shuji Bandoh, Masao Tateyama, Toshihiko Ishida, Futoshi Higa, Ichiro Yamadori, Takeo Yoshinouchi, J Takahara, Y Ohtsuki and Yuji Ohtsuki. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood 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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