Taeko Hotta

702 citations
46 papers · 469 indexed · h-index 12

Taeko Hotta

42 papers receiving 452 citations

Peers

Taeko Hotta
Comparison fields: 5 of 91
  • Internal Medicine 33
  • Hematology 73
  • Physiology 23
  • Biotechnology 40
  • Clinical Biochemistry 25
Replace Anish V. Sharda with:
Anish V. Sharda United States
Sara C. Sebag United States
Martina Wendel Germany
Nobuhiko Ikari Japan
Hongjie Guo China
A. Valance Washington Puerto Rico
Cheng‐Chih Chung Taiwan
Odile Wéra Belgium
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Citations per field
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Anish V. Sharda · 1×
Citations per year

Countries citing papers authored by Taeko Hotta

Since Specialization
Citations

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

Fields of papers citing papers by Taeko Hotta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20232
3 20229
4 202117
5 20214
6 20204
7 20206
8 20187
9
Neuraminidase Amino Acid Sequences of Influenza A/H3N2 and B Viruses Isolated from Influenza Patients in the 2014/15 Japanese Influenza Season.
20162
10
A case of EDTA-induced pseudo-neutropenia
20161
11 201516
12 20154
13 201534
14 201547
15 20119
16
Recommended comparison method for HDL-cholesterol and LDL-cholesterol measurement in serum
20091
17 199820
18 19932
19 199114
20
[A case of bioccipital infarction following toxemia of pregnancy.--Consideration of its unique brain scintigraphy in relation to the vascular anatomy of the striate cortex (author's transl)].
19771

About Taeko Hotta

Taeko Hotta is a scholar working on Internal Medicine, Hematology and Clinical Biochemistry, having authored 46 papers that have together received 469 indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (11 papers), Venous Thromboembolism Diagnosis and Management (8 papers), Metabolism and Genetic Disorders (4 papers), Neuroblastoma Research and Treatments (4 papers), Mitochondrial Function and Pathology (3 papers), Vitamin K Research Studies (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Internal Medicine (33 citations), Hematology (73 citations) and Physiology (23 citations). Taeko Hotta has collaborated with scholars based in Japan, Türkiye and Belarus. Frequent co-authors include Dongchon Kang, Masami Mori, Takashi Akazawa, Richard Bligny, Yoji Arata, Hideko Ishihara, Satoshi Endo, Setsuzo Tejima, Noriko Takahashi and Taiji Kato. Their work appears in journals such as Journal of Neurochemistry, Pediatric Blood & Cancer, Journal of Stroke and Cerebrovascular Diseases, Cardiovascular Diabetology and Annals of Clinical Biochemistry International Journal of Laboratory Medicine.

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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