Keiko Iida

2.2k total citations
36 papers, 635 citations indexed

About

Keiko Iida is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Keiko Iida has authored 36 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Surgery and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Keiko Iida's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Cancer-related gene regulation (3 papers) and MicroRNA in disease regulation (2 papers). Keiko Iida is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Cancer-related gene regulation (3 papers) and MicroRNA in disease regulation (2 papers). Keiko Iida collaborates with scholars based in Japan, United States and Australia. Keiko Iida's co-authors include Tatsuyuki Takada, Joel Moss, Akira Hirasawa, K Kawakami, Hisahiro Matsubara, Shigeru Kohno, Jun‐ichi Kadota, Yasunori Akutsu, Kentaro Murakami and Yasunori Matsumoto and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Keiko Iida

33 papers receiving 624 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keiko Iida Japan 14 296 136 99 94 94 36 635
Takumi Nakamura Japan 16 226 0.8× 169 1.2× 72 0.7× 85 0.9× 46 0.5× 73 790
Yijun Lin China 15 298 1.0× 135 1.0× 78 0.8× 110 1.2× 80 0.9× 28 679
Jin Woo Choi South Korea 15 383 1.3× 179 1.3× 73 0.7× 69 0.7× 68 0.7× 23 750
Yoshitake Cho United States 16 462 1.6× 209 1.5× 67 0.7× 96 1.0× 63 0.7× 27 781
Elena Valeria Fuior Romania 13 323 1.1× 66 0.5× 90 0.9× 87 0.9× 87 0.9× 20 573
In-Sung Song South Korea 16 419 1.4× 113 0.8× 130 1.3× 42 0.4× 46 0.5× 33 693
Young-Sun Kang South Korea 12 700 2.4× 89 0.7× 60 0.6× 58 0.6× 97 1.0× 13 987
Keiko Taniguchi Japan 16 281 0.9× 53 0.4× 128 1.3× 47 0.5× 41 0.4× 55 643
Gönül Kanıgür Sultuybek Türkiye 16 291 1.0× 90 0.7× 125 1.3× 50 0.5× 106 1.1× 44 682

Countries citing papers authored by Keiko Iida

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Iida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Iida

This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Iida. A scholar is included among the top collaborators of Keiko Iida 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 Keiko Iida. Keiko Iida 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.
Nishizawa‐Yokoi, Ayako, Keiko Iida, Akiko Mori, & Seiichi Toki. (2025). Prime editing using paired pegRNAs targeting NG- or NGG-PAM in rice. Frontiers in Genome Editing. 7. 1550308–1550308.
2.
Otsuka, Ryota, Keiko Iida, Satoshi Endo, et al.. (2023). SerumVersusTissue SIRT1 as Potentially Valuable Biomarkers in Gastric Cancer. Anticancer Research. 43(4). 1485–1491. 3 indexed citations
3.
Takei, Yoshinori, Keiko Iida, Ai Goto, et al.. (2022). Alteration in peritoneal cells with the chemokine CX3CL1 reverses age-associated impairment of recognition memory. GeroScience. 44(4). 2305–2318. 7 indexed citations
4.
Hoshino, Isamu, Yosuke Iwatate, Hisashi Gunji, et al.. (2021). Cell-free microRNA-1246 in different body fluids as a diagnostic biomarker for esophageal squamous cell carcinoma. PLoS ONE. 16(3). e0248016–e0248016. 15 indexed citations
5.
Miyao, Akio, et al.. (2019). Polymorphic edge detection (PED): two efficient methods of polymorphism detection from next-generation sequencing data. BMC Bioinformatics. 20(1). 362–362. 3 indexed citations
6.
Sekino, Nobufumi, Masayuki Kano, Yasunori Matsumoto, et al.. (2018). Antitumor effects of metformin are a result of inhibiting nuclear factor kappa B nuclear translocation in esophageal squamous cell carcinoma. Cancer Science. 109(4). 1066–1074. 26 indexed citations
7.
Yagishita, Sosuke, Keisuke Yoshikawa, Keiko Iida, et al.. (2017). Treatment of intermittent hypoxia increases phosphorylated tau in the hippocampus via biological processes common to aging. Molecular Brain. 10(1). 2–2. 30 indexed citations
8.
Otsuka, Ryota, Yasunori Akutsu, Haruhito Sakata, et al.. (2017). ZNF750 Expression as a Novel Candidate Biomarker of Chemoradiosensitivity in Esophageal Squamous Cell Carcinoma. Oncology. 93(3). 197–203. 14 indexed citations
9.
Otsuka, Ryota, Yasunori Akutsu, Haruhito Sakata, et al.. (2017). ZNF750 Expression Is a Potential Prognostic Biomarker in Esophageal Squamous Cell Carcinoma. Oncology. 94(3). 142–148. 22 indexed citations
10.
Hirasawa, Akira, et al.. (2015). Free fatty acid receptors as therapeutic targets for metabolic disorders. Folia Pharmacologica Japonica. 146(6). 296–301. 1 indexed citations
11.
Iwasaki, Kanako, Norio Harada, Kazuki Sasaki, et al.. (2014). Free Fatty Acid Receptor GPR120 Is Highly Expressed in Enteroendocrine K Cells of the Upper Small Intestine and Has a Critical Role in GIP Secretion After Fat Ingestion. Endocrinology. 156(3). 837–846. 104 indexed citations
12.
Matsunaga, Toshiyuki, et al.. (2011). Involvement of the aldo–keto reductase, AKR1B10, in mitomycin-c resistance through reactive oxygen species-dependent mechanisms. Anti-Cancer Drugs. 22(5). 402–408. 38 indexed citations
13.
Takada, Tatsuyuki, Keiko Iida, Hiroshi Sasaki, Masanori Taira, & Hiroshi Kimurâ. (2005). Expression of ADP-ribosylation factor (ARF)-like protein 6 during mouse embryonic development. The International Journal of Developmental Biology. 49(7). 891–894. 9 indexed citations
14.
Takada, Tatsuyuki, Keiko Iida, Koji Akasaka, et al.. (2000). Evaluation of heterologous insulator function with regard to chromosomal position effect in the mouse blastocyst and fetus. Molecular Reproduction and Development. 57(3). 232–237. 14 indexed citations
15.
Hara, Kohei, Shigeru Kohno, Jun‐ichi Kadota, et al.. (1998). Complication of Infection in Malnutritional Status. Kansenshogaku zasshi. 72(6). 569–574. 2 indexed citations
16.
Kadota, Jun‐ichi, Keiko Iida, K Kawakami, et al.. (1997). Analysis of inflammatory cell infiltration and its related factors in the lung of patients with diffuse panbronchiolitis.. Ensho. 17(3). 261–267.
17.
Fujii, Takeshi, Jun‐ichi Kadota, Hiroshi Mukae, et al.. (1997). Gamma-Delta T Cells in BAL Fluid of Chronic Lower Respiratory Tract Infection. CHEST Journal. 111(6). 1697–1701. 3 indexed citations
18.
Kadota, Jun‐ichi, Masanobu Miyazaki, Keiko Iida, et al.. (1996). Clinical and Immunological Evaluation of Infection in Patients on Hemodialysis. Journal of Infection and Chemotherapy. 2(4). 247–253. 8 indexed citations
19.
Kadota, Jun‐ichi, Osamu Sakito, Shigeru Kohno, et al.. (1994). Roxithromycin Treatment in Patients with Chronic Lower Respiratory Tract Disease. Kansenshogaku zasshi. 68(1). 27–33. 14 indexed citations
20.
Kobayashi, Yoshinori, Keiko Iida, Takeshi Ino, et al.. (1985). The effects of aprindine on various tachyarrhythmias and its pharmacokinetics.. Rinsho yakuri/Japanese Journal of Clinical Pharmacology and Therapeutics. 16(3). 597–609. 1 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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