Chie Akiba

907 total citations · 1 hit paper
7 papers, 597 citations indexed

About

Chie Akiba is a scholar working on Geriatrics and Gerontology, Molecular Biology and Cell Biology. According to data from OpenAlex, Chie Akiba has authored 7 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Geriatrics and Gerontology, 2 papers in Molecular Biology and 2 papers in Cell Biology. Recurrent topics in Chie Akiba's work include Frailty in Older Adults (4 papers), Nutrition and Health in Aging (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Chie Akiba is often cited by papers focused on Frailty in Older Adults (4 papers), Nutrition and Health in Aging (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Chie Akiba collaborates with scholars based in United States, Singapore and Japan. Chie Akiba's co-authors include Arti Hurria, Vani Katheria, Supriya G. Mohile, Heidi D. Klepin, Harvey Jay Cohen, Ajeet Gajra, William P. Tew, Laura Zavala, Andrew E. Chapman and Feng Tao and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Oncotarget.

In The Last Decade

Chie Akiba

7 papers receiving 593 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Validation of a Prediction Tool for Chemotherapy Toxicity in Older Adults With Cancer

2016 402 citations Arti Hurria, Supriya G. Mohile et al. Journal of Clinical Oncology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chie Akiba United States	5	333	223	195	131	113	7	597
J.M. Jonker Netherlands	6	334 1.0×	187 0.8×	236 1.2×	121 0.9×	52 0.5×	6	609
Wee Kheng Soo Australia	12	317 1.0×	189 0.8×	225 1.2×	102 0.8×	122 1.1×	23	600
S. Caldiera Italy	11	115 0.3×	173 0.8×	91 0.5×	145 1.1×	25 0.2×	22	468
J.P. Jacquin France	8	211 0.6×	215 1.0×	209 1.1×	106 0.8×	54 0.5×	12	512
Yat Ming Lau China	7	118 0.4×	142 0.6×	70 0.4×	89 0.7×	52 0.5×	13	350
Marika Rasschaert Belgium	12	209 0.6×	261 1.2×	153 0.8×	109 0.8×	74 0.7×	32	545
Zhuoqiao Wang United States	10	37 0.1×	251 1.1×	52 0.3×	185 1.4×	75 0.7×	17	625
Paul Donnellan Ireland	12	48 0.1×	381 1.7×	91 0.5×	156 1.2×	30 0.3×	33	584
Noortje Thielen Netherlands	11	183 0.5×	143 0.6×	143 0.7×	67 0.5×	90 0.8×	22	508
Chiara Bottelli Italy	11	171 0.5×	307 1.4×	120 0.6×	53 0.4×	88 0.8×	24	685

Countries citing papers authored by Chie Akiba

Since Specialization

Citations

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

Fields of papers citing papers by Chie Akiba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chie Akiba

This figure shows the co-authorship network connecting the top 25 collaborators of Chie Akiba. A scholar is included among the top collaborators of Chie Akiba 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 Chie Akiba. Chie Akiba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Hurria, Arti, Supriya G. Mohile, Ajeet Gajra, et al.. (2016). Validation of a Prediction Tool for Chemotherapy Toxicity in Older Adults With Cancer. Journal of Clinical Oncology. 34(20). 2366–2371. 402 indexed citations breakdown →

2.

Hurria, Arti, Chie Akiba, Jérôme H. Kim, et al.. (2016). Reliability, Validity, and Feasibility of a Computer-Based Geriatric Assessment for Older Adults With Cancer. Journal of Oncology Practice. 12(12). e1025–e1034. 65 indexed citations

3.

Goldstein, Leanne, Chie Akiba, Sien-Ting Lau, et al.. (2016). RAS mutational status and CEA production at initial presentation in metastatic colorectal cancer.. Journal of Clinical Oncology. 34(4_suppl). 542–542. 1 indexed citations

4.

Sun, Haibo, De‐Chen Lin, Xiao Guo, et al.. (2016). Inhibition of IRE1α-driven pro-survival pathways is a promising therapeutic application in acute myeloid leukemia. Oncotarget. 7(14). 18736–18749. 78 indexed citations

5.

Gajra, Ajeet, Heidi D. Klepin, Feng Tao, et al.. (2015). Predictors of chemotherapy dose reduction at first cycle in patients age 65years and older with solid tumors. Journal of Geriatric Oncology. 6(2). 133–140. 42 indexed citations

6.

Wildes, Tanya M., William P. Tew, Ronald J. Maggiore, et al.. (2015). Association of geriatric assessment factors with falls in older adults initiating chemotherapy.. Journal of Clinical Oncology. 33(15_suppl). 9542–9542. 5 indexed citations

7.

Sun, Haibo, Behzad Kharabi Masouleh, Sigal Gery, et al.. (2014). Abstract 510: Inhibition of IRE1α-driven pro-survival pathways is a promising therapeutic application in acute myeloid leukemia. Cancer Research. 74(19_Supplement). 510–510. 4 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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