Goro Takada

7.7k citations
261 papers · 6.0k indexed · h-index 40

Impact in

Papers in

Goro Takada

255 papers receiving 5.8k citations

Peers

Goro Takada
Comparison fields: 5 of 143
  • Clinical Biochemistry 1.0k
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Biochemistry 361
  • Cellular and Molecular Neuroscience 885
  • Neurology 349
Replace Joaquı́n Arenas with:
Joaquı́n Arenas Spain
Hiroshi Okamoto Japan
Miguel A. Martı́n Spain
Ikuo Inoue Japan
Susumu Ishida Japan
Andrew P. Levy Israel
Richard I. Kelley United States
Satoshi O. Suzuki Japan
Giancarlo Parenti Italy
Alfried Kohlschütter Germany
Goro Takada relative to Joaquı́n Arenas Spain Joaquı́n Arenas's profile →
Citations per field
00.5×1.5×2.1×
Joaquı́n Arenas · 1×
Citations per year

Countries citing papers authored by Goro Takada

Since Specialization
Citations

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

Fields of papers citing papers by Goro Takada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Pseudomonas stutzeri L-ラムノース・イソメラーゼの活性部位上の金属イオンの役割
20072
2 200710
3 200515
4 200224
5 200213
6 200144
7 200125
8 200024
9 199911
10 199921
11 199835
12 1997114
13 199614
14 19965
15 199629
16 19969
17 19957
18 199377
19 199224
20 199115

About Goro Takada

Goro Takada is a scholar working on Clinical Biochemistry, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Biochemistry and Epidemiology, having authored 261 papers that have together received 6.0k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (42 papers), Cardiovascular Function and Risk Factors (41 papers), Metabolism and Genetic Disorders (35 papers), Diet, Metabolism, and Disease (26 papers), Mitochondrial Function and Pathology (20 papers), Lysosomal Storage Disorders Research (18 papers), Pulmonary Hypertension Research and Treatments (17 papers) and Enzyme Production and Characterization (14 papers). The work is most often cited by research in Clinical Biochemistry (1.0k citations), Endocrinology, Diabetes and Metabolism (1.0k citations), Biochemistry (361 citations), Cellular and Molecular Neuroscience (885 citations) and Neurology (349 citations). Goro Takada has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Kenji Harada, Ken Izumori, Kiyoshi Hayasaka, Yukio Sawaishi, Masamichi Tamura, Tsutomu Takahashi, Yutaka Shoji, Akira Ishida, Masato Himoro and Manatomo Toyono. Their work appears in journals such as The American Journal of Cardiology, Biochemical and Biophysical Research Communications, Pediatric Neurology, Journal of Inherited Metabolic Disease and Early Human Development.

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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