Takashi Nitta

6.2k citations
214 papers · 3.5k indexed · h-index 31

Takashi Nitta

199 papers receiving 3.4k citations

Peers

Takashi Nitta
Comparison fields: 5 of 143
  • Hepatology 787
  • Cardiology and Cardiovascular Medicine 1.1k
  • Epidemiology 785
  • Oncology 526
  • Surgery 675
Replace Nobuaki Kobayashi with:
Nobuaki Kobayashi Japan
Stefano Maria Giulini Italy
Lin Yang China
Desley Neil United Kingdom
Jan Schmidt Germany
Shigefumi Suehiro Japan
Ken Yamazaki Japan
Atsushi Kawaguchi Japan
Seungbong Han South Korea
Chiung‐Nien Chen Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Takashi Nitta

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Nitta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Takashi Nitta, 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 Takashi Nitta Line = papers co-authored together Takashi Nitta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20202
3 201914
4 201832
5 201815
6 201784
7 201219
8
The ICD committee of the Japanese Heart Rhythm Society : ICD therapy for idiopathic ventricular fibrillation in Japan-The ICD-WEB registry administered by the Japanese Heart Rhythm Society
20081
9
ICD-WEB administrators : Actual conditions in Japanese patients with cardiac-resynchronization therapy using the registry data-base administered by the Japanese Heart Rhythm Society (ICD-WEB)
20071
10
High dose rate endobronchial brachytherapy for early-stage lung cancer of the hilar type
19991
11 199340
12 19794
13 19747
14 19722
15 19712
16 19692
17 19650
18 19646
19 19621
20 196215

About Takashi Nitta

Takashi Nitta is a scholar working on Cardiology and Cardiovascular Medicine, Hepatology and Microbiology, having authored 214 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (82 papers), Cardiac pacing and defibrillation studies (55 papers), Cardiac electrophysiology and arrhythmias (47 papers), Atrial Fibrillation Management and Outcomes (45 papers), Cardiac Valve Diseases and Treatments (17 papers), Meteorological Phenomena and Simulations (9 papers), Lung Cancer Research Studies (9 papers) and Liver physiology and pathology (8 papers). The work is most often cited by research in Hepatology (787 citations), Cardiology and Cardiovascular Medicine (1.1k citations) and Epidemiology (785 citations). Takashi Nitta has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Etsuro Hatano, Kojiro Taura, Shinji Üemoto, K.E. Behrns, Dagmara Mohuczy, Yôsuke Ishii, Iwao Ikai, Shun‐ichiro Sakamoto, Kentaro Yasuchika and Yasuo Miyagi. Their work appears in journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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