Rina Kitada

1.1k total citations
8 papers, 270 citations indexed

About

Rina Kitada is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Rina Kitada has authored 8 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Rina Kitada's work include Cancer Genomics and Diagnostics (3 papers), PARP inhibition in cancer therapy (2 papers) and Cancer therapeutics and mechanisms (1 paper). Rina Kitada is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), PARP inhibition in cancer therapy (2 papers) and Cancer therapeutics and mechanisms (1 paper). Rina Kitada collaborates with scholars based in Japan, United Kingdom and United States. Rina Kitada's co-authors include Makoto Kakitani, Kaori Horikoshi, Takeshi Oshima, Ayako Kojima, Kazuma Tomizuka, Kengo Yamawaki, Yuriko Sugawara, Toshihide Ueno, Shinji Kohsaka and Hiroyuki Mano and has published in prestigious journals such as Oncogene, Human Molecular Genetics and Cancer Science.

In The Last Decade

Rina Kitada

6 papers receiving 263 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rina Kitada Japan	3	202	197	84	69	16	8	270
Gwenn-Aël Carré United Kingdom	9	230 1.1×	222 1.1×	83 1.0×	48 0.7×	8 0.5×	9	315
S. Alexandra Garcia-Moreno United States	6	214 1.1×	214 1.1×	54 0.6×	22 0.3×	10 0.6×	7	292
Nikolay L. Manuylov United States	9	264 1.3×	310 1.6×	86 1.0×	78 1.1×	13 0.8×	10	404
Suming Yang China	7	146 0.7×	348 1.8×	103 1.2×	87 1.3×	4 0.3×	8	436
Laura Kasak Estonia	8	159 0.8×	135 0.7×	108 1.3×	81 1.2×	2 0.1×	12	293
Longfei Ma China	7	79 0.4×	105 0.5×	77 0.9×	54 0.8×	11 0.7×	9	179
Qisheng Zuo China	10	162 0.8×	179 0.9×	51 0.6×	37 0.5×	10 0.6×	45	276
Tomohide Kidokoro Japan	4	206 1.0×	185 0.9×	97 1.2×	21 0.3×	17 1.1×	6	245
Trevor Epp Australia	9	93 0.5×	221 1.1×	25 0.3×	35 0.5×	4 0.3×	11	277
Chongil Yi United States	5	198 1.0×	395 2.0×	213 2.5×	174 2.5×	4 0.3×	7	531

Countries citing papers authored by Rina Kitada

Since Specialization

Citations

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

Fields of papers citing papers by Rina Kitada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rina Kitada

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Ikegami, Masachika, Rina Kitada, Kazuya Takamochi, et al.. (2025). Functional Analysis of Rare RAS Variants of Unknown Significance. Cancer Research Communications. 5(10). 1747–1757.

2.

Terashima, Yuya, Hiroshi Ikeuchi, Takuo Hayashi, et al.. (2025). Discovery of Novel RASGRF2 Fusions as a Therapeutic Target in Lung Adenocarcinoma of Never or Light Smokers. Cancer Science. 116(10). 2868–2881.

3.

Ueno, Toshihide, Shinya Kojima, Hiroshi Ikeuchi, et al.. (2024). The development of a custom RNA-sequencing panel for the identification of predictive and diagnostic biomarkers in glioma. Journal of Neuro-Oncology. 167(1). 75–88. 2 indexed citations

4.

Ikeuchi, Hiroshi, Rika Kusumoto‐Matsuo, Shinya Kojima, et al.. (2024). GLI1 confers resistance to PARP inhibitors by activating the DNA damage repair pathway. Oncogene. 43(41). 3037–3048. 2 indexed citations

5.

Suehara, Yoshiyuki, Rina Kitada, Koichi Ogura, et al.. (2024). Analysis of cancer multigene panel testing for osteosarcoma in pediatric and adults using the center for cancer genomics and advanced therapeutics database in Japan. Journal of Orthopaedic Science. 30(5). 946–953. 2 indexed citations

6.

Kohsaka, Shinji, Shigehiro Yagishita, Toshihide Ueno, et al.. (2024). A molecular glue RBM39-degrader induces synthetic lethality in cancer cells with homologous recombination repair deficiency. npj Precision Oncology. 8(1). 117–117. 3 indexed citations

7.

Hirose, Takeshi, Masachika Ikegami, Kumiko Kida, et al.. (2024). Cancer risk assessment of premalignant breast tissues from patients with BRCA mutations by genome profiling. npj Breast Cancer. 10(1). 87–87. 1 indexed citations

8.

Tomizuka, Kazuma, Kaori Horikoshi, Rina Kitada, et al.. (2008). R-spondin1 plays an essential role in ovarian development through positively regulating Wnt-4 signaling. Human Molecular Genetics. 17(9). 1278–1291. 260 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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