Makoto Sohda

4.9k total citations
216 papers, 3.5k citations indexed

About

Makoto Sohda is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Makoto Sohda has authored 216 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Surgery, 90 papers in Pulmonary and Respiratory Medicine and 72 papers in Oncology. Recurrent topics in Makoto Sohda's work include Esophageal Cancer Research and Treatment (76 papers), Gastric Cancer Management and Outcomes (52 papers) and Esophageal and GI Pathology (45 papers). Makoto Sohda is often cited by papers focused on Esophageal Cancer Research and Treatment (76 papers), Gastric Cancer Management and Outcomes (52 papers) and Esophageal and GI Pathology (45 papers). Makoto Sohda collaborates with scholars based in Japan, United States and Mongolia. Makoto Sohda's co-authors include Hiroyuki Kuwano, Tatsuya Miyazaki, Masanobu Nakajima, Minoru Fukuchi, Hiroyuki Kato, Yasuyuki Fukai, Makoto Sakai, Norihiro Masuda, Katsuhiko Tsukada and Naritaka Tanaka and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer and Scientific Reports.

In The Last Decade

Makoto Sohda

195 papers receiving 3.4k citations

Peers

Makoto Sohda
Makoto Sohda
Citations per year, relative to Makoto Sohda Makoto Sohda (= 1×) peers Shuji Mikami

Countries citing papers authored by Makoto Sohda

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Sohda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Sohda

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Sohda. A scholar is included among the top collaborators of Makoto Sohda 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 Makoto Sohda. Makoto Sohda 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.
Nakazawa, Nobuhiro, Makoto Sohda, Munenori Ide, et al.. (2024). Poorly cohesive gastric cancer with increased epithelial‑mesenchymal transition is associated with a poor prognosis. Oncology Letters. 28(3). 420–420.
2.
Sakai, Makoto, Makoto Sohda, Takayoshi Watanabe, et al.. (2024). Efficacy of thoracic endovascular aortic repair for aorto-esophageal fistula due to esophageal cancer: a systematic review and meta-analysis. Esophagus. 21(2). 95–101. 2 indexed citations
3.
Nakazawa, Nobuhiro, Makoto Sohda, Mizuki Endo, et al.. (2024). The Gustave Roussy Immune score is a powerful biomarker for predicting therapeutic resistance to chemotherapy in gastric cancer patients. Cancer Chemotherapy and Pharmacology. 94(4). 517–522.
4.
Yokobori, Takehiko, Makoto Sohda, Nobuhiro Nakazawa, et al.. (2023). Association of High LAT1 Expression with Poor Prognosis and Recurrence in Colorectal Cancer Patients Treated with Oxaliplatin-Based Adjuvant Chemotherapy. International Journal of Molecular Sciences. 24(3). 2604–2604. 7 indexed citations
5.
Nakazawa, Nobuhiro, Makoto Sohda, Ayaka Katayama, et al.. (2023). Infiltration of Gastric Cancer Stroma by Tumor-Infiltrating Lymphocytes Correlates with Mechanistic Target of Rapamycin Signaling. Oncology. 101(8). 520–526. 1 indexed citations
6.
Ogawa, Hiroomi, Takuhisa Okada, Yasunari Ubukata, et al.. (2023). Gangrenous ischemic colitis localized to the cecum: a case report. SHILAP Revista de lepidopterología. 9(1).
7.
Nakazawa, Nobuhiro, Takehiko Yokobori, Makoto Sohda, et al.. (2023). Significance of Lipopolysaccharides in Gastric Cancer and Their Potential as a Biomarker for Nivolumab Sensitivity. International Journal of Molecular Sciences. 24(14). 11790–11790. 4 indexed citations
8.
Nakazawa, Nobuhiro, Makoto Sohda, Takehiko Yokobori, et al.. (2022). Cytoplasmic localization of connexin 26 suppresses transition of β‐catenin into the nucleus in intestinal‐ and mix‐type gastric cancer. Annals of Gastroenterological Surgery. 6(4). 505–514. 5 indexed citations
9.
Sakai, Makoto, Makoto Sohda, Hideyuki Saito, et al.. (2020). Impact of combined assessment of systemic inflammation and presarcopenia on survival for surgically resected esophageal cancer. The American Journal of Surgery. 221(1). 149–154. 8 indexed citations
11.
Yoshida, Tomonori, Takehiko Yokobori, Hideyuki Saito, et al.. (2020). CD36 Expression Is Associated with Cancer Aggressiveness and Energy Source in Esophageal Squamous Cell Carcinoma. Annals of Surgical Oncology. 28(2). 1217–1227. 22 indexed citations
12.
Nakazawa, Nobuhiro, Takehiko Yokobori, Kyoichi Kaira, et al.. (2019). High Stromal TGFBI in Lung Cancer and Intratumoral CD8-Positive T Cells were Associated with Poor Prognosis and Therapeutic Resistance to Immune Checkpoint Inhibitors. Annals of Surgical Oncology. 27(3). 933–942. 30 indexed citations
13.
Nakajima, Masanobu, Masakazu Takahashi, Hideo Ogata, et al.. (2018). Adverse Prognostic Factors of Advanced Esophageal Cancer in Patients Undergoing Induction Therapy with Docetaxel, Cisplatin and 5-Fluorouracil. Anticancer Research. 38(2). 911–918. 4 indexed citations
14.
Sohda, Makoto & Hiroyuki Kuwano. (2017). [Nutrient Assessment and Perioperative Management in Esophageal Cancer Patients Undergoing Esophagectomy].. PubMed. 70(8). 708–711. 2 indexed citations
15.
Yokobori, Takehiko, Makoto Sohda, Makoto Sakai, et al.. (2014). TGFBI Expression in Cancer Stromal Cells is Associated with Poor Prognosis and Hematogenous Recurrence in Esophageal Squamous Cell Carcinoma. Annals of Surgical Oncology. 23(1). 282–289. 35 indexed citations
16.
Yokobori, Takehiko, Shigemasa Suzuki, Naritaka Tanaka, et al.. (2012). MiR‐150 is associated with poor prognosis in esophageal squamous cell carcinoma via targeting the EMT inducer ZEB1. Cancer Science. 104(1). 48–54. 111 indexed citations
17.
Sakai, Makoto, Makoto Sohda, Tatsuya Miyazaki, et al.. (2010). Significance of karyopherin-{alpha} 2 (KPNA2) expression in esophageal squamous cell carcinoma.. PubMed. 30(3). 851–6. 68 indexed citations
18.
Tanaka, Naritaka, Hitoshi Kimura, Ahmad Faried, et al.. (2010). Quantitative analysis of cisplatin sensitivity of human esophageal squamous cancer cell lines using in‐air micro‐PIXE. Cancer Science. 101(6). 1487–1492. 13 indexed citations
19.
Sohda, Makoto, Yasushi Mochida, Hiroyuki Kato, et al.. (2009). Overexpression of Cap43 is associated with malignant status of esophageal cancer.. PubMed. 29(4). 965–70. 11 indexed citations
20.
Kato, Hiroyuki, Tatsuya Miyazaki, Hitoshi Kimura, et al.. (2006). A novel technique to facilitate laparoscopic repair of large paraesophageal hernias. The American Journal of Surgery. 191(4). 545–548. 3 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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