Ririno Honma

464 total citations
20 papers, 363 citations indexed

About

Ririno Honma is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ririno Honma has authored 20 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Ririno Honma's work include Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (5 papers) and RNA Research and Splicing (5 papers). Ririno Honma is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (5 papers) and RNA Research and Splicing (5 papers). Ririno Honma collaborates with scholars based in Japan and United States. Ririno Honma's co-authors include Wataru Yasui, Naoya Sakamoto, Daiki Taniyama, Kazuhiro Sentani, Naohide Oue, Yohei Sekino, Hideki Ohdan, Kazuaki Tanabe, Tsuyoshi Takashima and Keisuke Goto and has published in prestigious journals such as Cancer Research, Oncogene and British Journal of Cancer.

In The Last Decade

Ririno Honma

20 papers receiving 361 citations

Peers

Ririno Honma

ONCOL

PRM

PFM

Gudrun Hager Austria

Jana Plavá Slovakia

Kunming Wen China

Lilin Ma China

Manu Prasad Israel

Yaping Guan China

Haofan Yin China

Xiujie Xie United States

Matthew J. Munro New Zealand

Siwei Ju China

Gudrun Hager Austria

Ririno Honma

171 ×0.8

110 ×0.7

ONCOL

109 ×0.8

44 ×0.7

PRM

53 ×1.5

PFM

Citations per year, relative to Ririno Honma Ririno Honma (= 1×) peers Gudrun Hager

Countries citing papers authored by Ririno Honma

Since Specialization

Citations

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

Fields of papers citing papers by Ririno Honma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ririno Honma

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

All Works

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20 of 20 papers shown

Yanai, Hiroyuki, et al.. (2024). A Rare Tumor of Intravascular Myopericytoma in the Right Renal Vein. International Journal of Surgical Pathology. 33(1). 167–171. 1 indexed citations

Shindo, Shunya, et al.. (2021). P-141 Neoadjuvant chemotherapy with docetaxel, nedaplatin, and 5-FU for resectable esophageal cancer: A single center retrospective study. Annals of Oncology. 32. S147–S147. 1 indexed citations

Takashima, Tsuyoshi, Daiki Taniyama, Naoya Sakamoto, et al.. (2021). Schlafen 11 predicts response to platinum-based chemotherapy in gastric cancers. British Journal of Cancer. 125(1). 65–77. 37 indexed citations

Sakamoto, Naoya, Yusuke Yamamoto, Quốc Thắng Phạm, et al.. (2021). Establishment of oxaliplatin-resistant gastric cancer organoids: importance of myoferlin in the acquisition of oxaliplatin resistance. Gastric Cancer. 24(6). 1264–1277. 34 indexed citations

Sakamoto, Naoya, Daiki Taniyama, Ririno Honma, et al.. (2021). KHDRBS3 promotes multi‐drug resistance and anchorage‐independent growth in colorectal cancer. Cancer Science. 112(3). 1196–1208. 17 indexed citations

Honma, Ririno, Naoya Sakamoto, Yusuke Yamamoto, et al.. (2020). Molecular biological analysis of 5-FU-resistant gastric cancer organoids; KHDRBS3 contributes to the attainment of features of cancer stem cell. Oncogene. 39(50). 7265–7278. 51 indexed citations

Sakamoto, Naoya, Yohei Sekino, Quốc Thắng Phạm, et al.. (2020). Uc.63+ contributes to gastric cancer progression through regulation of NF-kB signaling. Gastric Cancer. 23(5). 863–873. 11 indexed citations

Takashima, Tsuyoshi, Naoya Sakamoto, Junko Murai, et al.. (2020). Immunohistochemical analysis of SLFN11 expression uncovers potential non-responders to DNA-damaging agents overlooked by tissue RNA-seq. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 478(3). 569–579. 34 indexed citations

Sakamoto, Naoya, Kazuhito Naka, Ririno Honma, et al.. (2020). Abstract 4762: Metabolome in 5-FU resistant gastric cancer organoids. Cancer Research. 80(16_Supplement). 4762–4762. 1 indexed citations

10.

Honma, Ririno, et al.. (2019). Retrospective analysis of 18 cases of gastric cancer with peritoneal metastases resulting in successful conversion surgery. Annals of Oncology. 30. iv48–iv49. 1 indexed citations

11.

Sekino, Yohei, Naoya Sakamoto, Akira Ishikawa, et al.. (2019). Transcribed ultraconserved region Uc.63+ promotes resistance to cisplatin through regulation of androgen receptor signaling in bladder cancer. Oncology Reports. 41(5). 3111–3118. 16 indexed citations

12.

Ishikawa, Akira, Naoya Sakamoto, Ririno Honma, et al.. (2019). Annexin A10 is involved in the induction of pancreatic duodenal homeobox‑1 in gastric cancer tissue, cells and organoids. Oncology Reports. 43(2). 581–590. 17 indexed citations

13.

Oue, Naohide, Yohei Sekino, Yuji Yamamoto, et al.. (2019). Abstract 1166: TDO2 overexpression is associated with cancer stem cells and poor prognosis in esophageal squamous cell carcinoma. Cancer Research. 79(13_Supplement). 1166–1166. 1 indexed citations

14.

Sekino, Yohei, Naoya Sakamoto, Keisuke Goto, et al.. (2018). Uc.416 + A promotes epithelial-to-mesenchymal transition through miR-153 in renal cell carcinoma. BMC Cancer. 18(1). 952–952. 16 indexed citations

15.

Honma, Ririno, Naoya Sakamoto, Akira Ishikawa, et al.. (2018). Clinicopathological and Prognostic Significance of Epithelial Gremlin1 Expression in Gastric Cancer. Anticancer Research. 38(3). 1419–1425. 10 indexed citations

16.

Honma, Ririno, Keisuke Goto, Naoya Sakamoto, et al.. (2017). Expression and function of Uc.160+, a transcribed ultraconserved region, in gastric cancer. Gastric Cancer. 20(6). 960–969. 29 indexed citations

17.

Sakamoto, Naoya, Ririno Honma, Yohei Sekino, et al.. (2017). Non-coding RNAs are promising targets for stem cell-based cancer therapy. Non-coding RNA Research. 2(2). 83–87. 19 indexed citations

18.

Mukai, Shoichiro, Naohide Oue, Takashi Oshima, et al.. (2017). Overexpression of PCDHB9 promotes peritoneal metastasis and correlates with poor prognosis in patients with gastric cancer. The Journal of Pathology. 243(1). 100–110. 19 indexed citations

19.

Sekino, Yohei, Naoya Sakamoto, Keisuke Goto, et al.. (2017). Transcribed ultraconserved region Uc.63+ promotes resistance to docetaxel through regulation of androgen receptor signaling in prostate cancer. Oncotarget. 8(55). 94259–94270. 25 indexed citations

20.

Yanagisawa, Yuka, Yuko Sato, Yasuko Asahi‐Ozaki, et al.. (2006). Effusion and solid lymphomas have distinctive gene and protein expression profiles in an animal model of primary effusion lymphoma. The Journal of Pathology. 209(4). 464–473. 23 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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