Riuko Ohashi

2.7k citations
74 papers · 1.7k · h-index 22

Impact in

  • Immunology top 5%
    • Biomarkers in Disease Mechanisms
    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics

Papers in

Riuko Ohashi

68 papers receiving 1.7k citations

Peers

Riuko Ohashi
Comparison fields: 5 of 102
  • Immunology 400
  • Cancer Research 247
  • Molecular Biology 781
  • Pulmonary and Respiratory Medicine 304
  • Cell Biology 116
Replace Jorma A. Määttä with:
Jorma A. Määttä Finland
Astrid F. Nottebaum Germany
Hirotaka Koizumi Japan
Yolanda Campos‐Martín Spain
Yinfei Tan United States
Florence Schaffner United States
Witold W. Kilarski Switzerland
Maike Frye Germany
Christophe F. Grosset France
Riuko Ohashi relative to Jorma A. Määttä Finland Jorma A. Määttä's profile →
Citations per field
00.5×2.8×
Jorma A. Määttä · 1×
Citations per year

Countries citing papers authored by Riuko Ohashi

Since Specialization
Citations

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

Fields of papers citing papers by Riuko Ohashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013292
2 2008165
3 2007110
4 200478
5 201469
6 201166
7 202264
8 201664
9 201251
10 201947
11 201441
12 201241
13 200736
14 201036
15 200735
16 201633
17 202033
18 201729
19 202228
20 200826

About Riuko Ohashi

Riuko Ohashi is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Immunology, Oncology and Rheumatology, having authored 74 papers that have together received 1.7k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (12 papers), Renal and related cancers (9 papers), Cancer Genomics and Diagnostics (8 papers), Biomarkers in Disease Mechanisms (6 papers), Drug Transport and Resistance Mechanisms (4 papers), Liver physiology and pathology (3 papers), Cholesterol and Lipid Metabolism (3 papers) and Inflammasome and immune disorders (3 papers). The work is most often cited by research in Immunology (400 citations), Cancer Research (247 citations), Molecular Biology (781 citations), Pulmonary and Respiratory Medicine (304 citations) and Cell Biology (116 citations). Riuko Ohashi has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Takao Hamakubo, Makoto Naito, Tatsuhiko Kodama, Takeshi Kawamura, Hiroko Iwanari, Keiko Horiuchi, Holger Moch, Shuying Jiang, Go Hasegawa and Hiroko Iwanari. Their work appears in journals such as Pathology International, Biomedicines, Journal of Biological Chemistry, iScience and Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin.

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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