Grace K. Arimura

1.5k total citations
30 papers, 1.2k citations indexed

About

Grace K. Arimura is a scholar working on Molecular Biology, Physiology and Rheumatology. According to data from OpenAlex, Grace K. Arimura has authored 30 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Physiology and 5 papers in Rheumatology. Recurrent topics in Grace K. Arimura's work include Glycogen Storage Diseases and Myoclonus (4 papers), Erythrocyte Function and Pathophysiology (3 papers) and Biochemical effects in animals (3 papers). Grace K. Arimura is often cited by papers focused on Glycogen Storage Diseases and Myoclonus (4 papers), Erythrocyte Function and Pathophysiology (3 papers) and Biochemical effects in animals (3 papers). Grace K. Arimura collaborates with scholars based in United States and Japan. Grace K. Arimura's co-authors include Adel A. Yunis, David J. Russin, A. A. Yunis, Tatsuma Nishioka, Tadakazu Shimoda, Ryotaro Ozawa, Junji Takabayashi, Ming‐Chi Wu, Alan M. Miller and David Kipnis and has published in prestigious journals such as Blood, Biochemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Grace K. Arimura

30 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Grace K. Arimura United States 17 487 232 193 169 149 30 1.2k
G. Michael Hass United States 23 774 1.6× 308 1.3× 48 0.2× 81 0.5× 77 0.5× 64 1.5k
Takehiko Koide Japan 27 968 2.0× 175 0.8× 60 0.3× 210 1.2× 242 1.6× 77 2.1k
Alexandre E. Nowill Brazil 19 584 1.2× 188 0.8× 90 0.5× 121 0.7× 90 0.6× 45 1.3k
James W. Brodrick United States 17 578 1.2× 246 1.1× 51 0.3× 57 0.3× 162 1.1× 30 1.3k
Jean Grenier France 27 787 1.6× 436 1.9× 52 0.3× 666 3.9× 233 1.6× 61 1.8k
Joseph F. Morgan Canada 15 356 0.7× 92 0.4× 186 1.0× 32 0.2× 89 0.6× 68 844
Charles S. Schasteen United States 17 430 0.9× 161 0.7× 30 0.2× 84 0.5× 166 1.1× 25 1.1k
Daranee Chokchaichamnankit Thailand 24 779 1.6× 152 0.7× 146 0.8× 184 1.1× 171 1.1× 76 1.5k
Kunio Konno Japan 15 624 1.3× 150 0.6× 14 0.1× 96 0.6× 74 0.5× 60 1.2k
Gareth Chelvanayagam Australia 19 1.9k 4.0× 127 0.5× 80 0.4× 106 0.6× 52 0.3× 49 2.3k

Countries citing papers authored by Grace K. Arimura

Since Specialization
Citations

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

Fields of papers citing papers by Grace K. Arimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grace K. Arimura. 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 Grace K. Arimura. The network helps show where Grace K. Arimura may publish in the future.

Co-authorship network of co-authors of Grace K. Arimura

This figure shows the co-authorship network connecting the top 25 collaborators of Grace K. Arimura. A scholar is included among the top collaborators of Grace K. Arimura based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Grace K. Arimura. Grace K. Arimura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ozawa, Ryotaro, Grace K. Arimura, Junji Takabayashi, Tadakazu Shimoda, & Tatsuma Nishioka. (2000). Involvement of Jasmonate- and Salicylate-Related Signaling Pathways for the Production of Specific Herbivore-Induced Volatiles in Plants. Plant and Cell Physiology. 41(4). 391–398. 231 indexed citations
2.
Jiménez, Joaquín J., et al.. (1988). DNA damage in intact cells induced by bacterial metabolites of chloramphenicol. American Journal of Hematology. 28(1). 40–46. 14 indexed citations
3.
Yunis, A. A., et al.. (1987). DNA damage induced by chloramphenicol and its nitroso derivative: Damage in intact cells. American Journal of Hematology. 24(1). 77–84. 16 indexed citations
4.
Yunis, Adel A., et al.. (1987). Differentiation of cultured promyelocytic leukemia cells (HL-60) induced by endotoxin-treated human lung conditioned medium. Leukemia Research. 11(8). 673–679. 4 indexed citations
5.
Wu, Ming‐Chi, Grace K. Arimura, John S. Holcenberg, & Adel A. Yunis. (1982). Sensitivity of cultured pancreatic carcinoma cells toAcinetobacter glutaminase-asparaginase. In Vitro Cellular & Developmental Biology - Plant. 18(9). 750–754. 2 indexed citations
6.
Yunis, Adel A., Alan M. Miller, Ziad Salem, & Grace K. Arimura. (1980). Chloramphenicol Toxicity: Pathogenetic Mechanisms and the Role of the p-NO2in Aplastic Anemia. Clinical toxicology. 17(3). 359–373. 38 indexed citations
7.
Yunis, A. A., Alan M. Miller, Z. Salem, Michael D. Corbett, & Grace K. Arimura. (1980). Nitroso-chloramphenicol: possible mediator in chloramphenicol-induced aplastic anemia.. PubMed. 96(1). 36–46. 45 indexed citations
8.
Miller, AM, Grace K. Arimura, M.A. Gross, & A. A. Yunis. (1978). In vitro evidence for genetically determined variations in marrow erythroid cell sensitivity to chloramphenicol.. PubMed. 6(5). 455–60. 5 indexed citations
9.
Wu, Ming‐Chi, Grace K. Arimura, & Adel A. Yunis. (1978). Mechanism of sensitivity of cultured pancreatic carcinoma to asparaginase. International Journal of Cancer. 22(6). 728–733. 58 indexed citations
10.
Wu, Ming‐Chi, Grace K. Arimura, & Adel A. Yunis. (1977). Purification and characterization of a plasminogen activator secreted by cultured human pancreatic carcinoma cells. Biochemistry. 16(9). 1908–1913. 64 indexed citations
11.
Yunis, Adel A., Grace K. Arimura, & David J. Russin. (1977). Human pancreatic carcinoma (mia paca‐2) in continuous culture: Sensitivity to asparaginase. International Journal of Cancer. 19(1). 128–135. 318 indexed citations
12.
Arimura, Grace K., et al.. (1975). Comparative Metabolic Effects Of Chloramphenicol Analogues. Molecular Pharmacology. 11(5). 520–527. 19 indexed citations
13.
Yunis, Adel A., et al.. (1975). Characteristics of rat carcinoma in culture.. PubMed. 35(2). 337–45. 16 indexed citations
14.
Wu, Ming, D. R. Schultz, Grace K. Arimura, M.A. Gross, & A. A. Yunis. (1975). Characteristics of fibrinolysin secreted by cultured rat breast carcinoma cells. Experimental Cell Research. 96(1). 37–46. 15 indexed citations
15.
Yunis, A. A., et al.. (1973). Comparative effect of chloramphenicol and thiamphenicol on DNA and mitochondrial protein synthesis in mammalian cells.. PubMed. 81(5). 713–8. 43 indexed citations
16.
Arimura, Grace K., et al.. (1972). Chloramphenicol-induced erythroid suppression and bone marrow ferrochelatase activity in dogs.. PubMed. 79(1). 137–44. 31 indexed citations
17.
Yunis, A. A., et al.. (1967). Biochemical Lesion in Dilantin-Induced Erythroid Aplasia. Blood. 30(5). 587–600. 45 indexed citations
18.
Yunis, Adel A. & Grace K. Arimura. (1964). ENZYMES OF GLYCOGEN METABOLISM IN WHITE BLOOD CELLS. I. GLYCOGEN PHOSPHORYLASE IN NORMAL AND LEUKEMIC HUMAN LEUKOCYTES.. PubMed. 24. 489–92. 20 indexed citations
19.
Firkin, B. G., Grace K. Arimura, & William J. Harrington. (1960). A Method for Evaluating the Hemostatic Effect of Various Agents in Thrombocytopenic Rats and Mice. Blood. 15(3). 388–394. 21 indexed citations
20.
Arimura, Grace K., et al.. (1956). The autoimmune thrombocytopenias.. PubMed. 1. 166–92. 69 indexed citations

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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