Jun Katada

1.5k citations
38 papers · 1.3k · h-index 20

Impact in

Papers in

Jun Katada

37 papers receiving 1.3k citations

Peers

Jun Katada
Comparison fields: 5 of 104
  • Pharmacology 292
  • Cardiology and Cardiovascular Medicine 257
  • Immunology and Allergy 62
  • Biotechnology 94
  • Genetics 101
Replace Ana Negri with:
Ana Negri Spain
P. Delmotte Belgium
Tina Colombo Italy
Daniel P. Griswold United States
Neelu Kaila United States
Richard M. Keenan United States
David Austin United Kingdom
Edvardas Kaminskas United States
Richard Sedrani Switzerland
Junxian Lim Australia
Jun Katada relative to Ana Negri Spain Ana Negri's profile →
Citations per field
00.5×4.8×
Ana Negri · 1×
Citations per year

Countries citing papers authored by Jun Katada

Since Specialization
Citations

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

Fields of papers citing papers by Jun Katada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000176
2 1997129
3 2000101
4 200397
5 199987
6 199985
7 200283
8 200057
9 199846
10 200543
11 202040
12 201740
13 199933
14 199131
15 201531
16 201930
17 200230
18 199727
19 199920
20 201820

About Jun Katada

Jun Katada is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology and Allergy, Hematology and Genetics, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (7 papers), Cell Adhesion Molecules Research (7 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers), Mast cells and histamine (6 papers), Atrial Fibrillation Management and Outcomes (6 papers), Chemical Synthesis and Analysis (5 papers), Protease and Inhibitor Mechanisms (3 papers) and Biochemical and Structural Characterization (3 papers). The work is most often cited by research in Pharmacology (292 citations), Cardiology and Cardiovascular Medicine (257 citations), Immunology and Allergy (62 citations), Biotechnology (94 citations) and Genetics (101 citations). Jun Katada has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Masataka Majima, Michiko Muramatsu, Izumi Hayashi, Isao Uno, Kaneo Kanoh, Yoshio Hayashi, Makoto Katori, Shohei Yamashina, Kiyoko Iijima and Takeo Harada. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Cardiology and Therapy, Journal of Pharmacology and Experimental Therapeutics, Journal of Medicinal Chemistry and British Journal of 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.

Explore authors with similar magnitude of impact