Hitoshi Tada

2.3k citations
96 papers · 1.9k indexed · h-index 24

Hitoshi Tada

92 papers receiving 1.9k citations

Peers

Hitoshi Tada
Comparison fields: 5 of 118
  • Transplantation 548
  • Pharmacology 275
  • Gastroenterology 172
  • Physiology 123
  • Pediatrics, Perinatology and Child Health 411
Replace Joseph Chang with:
Joseph Chang United States
B Gawrońska-Szklarz Poland
Hiroshi Satoh Japan
Frank Streit Germany
John F. Gerkens Australia
Assaad A. Eid Lebanon
Bruno Casetta Italy
Yoshiyuki Kagawa Japan
Sidney A. Spector United States
Ester Zylber‐Katz Israel
Hitoshi Tada relative to Joseph Chang United States Joseph Chang's profile →
Citations per field
00.5×10×13.3×
Joseph Chang · 1×
Citations per year

Countries citing papers authored by Hitoshi Tada

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Tada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201912
2 201731
3 20140
4 201314
5 200763
6 200593
7 200532
8 200455
9 2002107
10 200258
11 200117
12 200114
13 199938
14 199912
15 199813
16 199761
17 19971
18 19962
19 19902
20 19895

About Hitoshi Tada

Hitoshi Tada is a scholar working on Transplantation, Pharmacology, Gastroenterology, Pediatrics, Perinatology and Child Health and Physiology, having authored 96 papers that have together received 1.9k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (15 papers), Pharmacogenetics and Drug Metabolism (13 papers), Drug Transport and Resistance Mechanisms (13 papers), Pharmacological Effects and Toxicity Studies (13 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (9 papers), Immunotherapy and Immune Responses (6 papers), Inhalation and Respiratory Drug Delivery (6 papers) and Analytical Chemistry and Chromatography (5 papers). The work is most often cited by research in Transplantation (548 citations), Pharmacology (275 citations), Gastroenterology (172 citations), Physiology (123 citations) and Pediatrics, Perinatology and Child Health (411 citations). Hitoshi Tada has collaborated with scholars based in Japan, United States and Myanmar. Frequent co-authors include Tomonori Habuchi, Shigeru Satoh, Masatomo Miura, Toshio Suzuki, Toshio Suzuki, Norihiko Tsuchiya, Kohei Togami, Toku Takahashi, Tetsuro Kato and Kazunari Sato. Their work appears in journals such as Biological and Pharmaceutical Bulletin, Chemical and Pharmaceutical Bulletin, Journal of Pharmaceutical Sciences, British Journal of Clinical Pharmacology and European Journal of Clinical Pharmacology.

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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