Rie Tabata

1.2k citations
49 papers · 968 · h-index 16

Impact in

  • Hematology top 5%
    • Autoimmune and Inflammatory Disorders Research
  • Immunology top 10%
    • Immune Cell Function and Interaction

Papers in

Rie Tabata

44 papers receiving 949 citations

Peers

Rie Tabata
Comparison fields: 5 of 73
  • Hematology 142
  • Immunology 254
  • Pulmonary and Respiratory Medicine 358
  • Oncology 158
  • Hepatology 35
Replace Hiroaki Ohnishi with:
Hiroaki Ohnishi Japan
Marí­a José Herrero Spain
Carsten Grüllich Germany
K Morozumi Japan
Bertil Lindmark Sweden
Ingrid Henneke Germany
U. Fabry Germany
Seon‐Hee Yim South Korea
Lionel D’Hondt Belgium
Sunfa Cheng United States
Rie Tabata relative to Hiroaki Ohnishi Japan Hiroaki Ohnishi's profile →
Citations per field
00.5×3.7×
Hiroaki Ohnishi · 1×
Citations per year

Countries citing papers authored by Rie Tabata

Since Specialization
Citations

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

Fields of papers citing papers by Rie Tabata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000157
2 200790
3 200680
4 201065
5 201357
6 200856
7 201154
8 200550
9 201048
10 201037
11 201126
12 201326
13 201221
14 201221
15 200919
16 200115
17 200915
18 201014
19 201513
20 201311

About Rie Tabata

Rie Tabata is a scholar working on Hematology, Pulmonary and Respiratory Medicine, Immunology, Pathology and Forensic Medicine and Oncology, having authored 49 papers that have together received 968 indexed citations. Recurring topics across this work include Occupational and environmental lung diseases (10 papers), Lymphoma Diagnosis and Treatment (9 papers), Autoimmune and Inflammatory Disorders Research (7 papers), Pleural and Pulmonary Diseases (6 papers), Chronic Lymphocytic Leukemia Research (6 papers), Immune Cell Function and Interaction (5 papers), T-cell and Retrovirus Studies (4 papers) and CNS Lymphoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Hematology (142 citations), Immunology (254 citations), Pulmonary and Respiratory Medicine (358 citations), Oncology (158 citations) and Hepatology (35 citations). Rie Tabata has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Chiharu Tabata, Takashi Nakano, Hajime Kubo, Yoshio Kadokawa, Michiaki Mishima, Masato Yagita, Meiko Takahashi, Kiyoshi Takatsuki, Shusai Yamada and Yoshinobu Matsuo. Their work appears in journals such as International Immunopharmacology, Modern Rheumatology, Journal of Clinical and Experimental Hematopathology, European Respiratory Journal and International Archives of Allergy and Immunology.

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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