Ines P. Nearchou

420 total citations
12 papers, 263 citations indexed

About

Ines P. Nearchou is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ines P. Nearchou has authored 12 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 4 papers in Surgery and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ines P. Nearchou's work include Colorectal Cancer Treatments and Studies (4 papers), Colorectal Cancer Screening and Detection (4 papers) and Immune cells in cancer (3 papers). Ines P. Nearchou is often cited by papers focused on Colorectal Cancer Treatments and Studies (4 papers), Colorectal Cancer Screening and Detection (4 papers) and Immune cells in cancer (3 papers). Ines P. Nearchou collaborates with scholars based in Japan, United Kingdom and United States. Ines P. Nearchou's co-authors include Peter D. Caie, David J. Harrison, Hideki Ueno, Kate Lillard, Yoshiki Kajiwara, Satsuki Mochizuki, Günter Schmidt, Nicolas Brieu, Ognjen Arandjelović and Yoji Kishi and has published in prestigious journals such as Cancer Research, Scientific Reports and International Journal of Cancer.

In The Last Decade

Ines P. Nearchou

11 papers receiving 260 citations

Peers

Ines P. Nearchou

ONCOL

RNMI

SURGE

PRM

Haohua Teng China

Lindsay C. Hewitt United Kingdom

Yiquan Jiang China

Bernadette Redd United States

Changyuan Guo China

Julia Naso Canada

Niko Kemi Finland

Dajia Lin China

Renee Frank United States

Asaf Maoz United States

Haohua Teng China

Ines P. Nearchou

92 ×0.5

ONCOL

75 ×0.9

RNMI

59 ×1.0

SURGE

172 ×3.0

PRM

37 ×0.8

Citations per year, relative to Ines P. Nearchou Ines P. Nearchou (= 1×) peers Haohua Teng

Countries citing papers authored by Ines P. Nearchou

Since Specialization

Citations

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

Fields of papers citing papers by Ines P. Nearchou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ines P. Nearchou. 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 Ines P. Nearchou. The network helps show where Ines P. Nearchou may publish in the future.

Co-authorship network of co-authors of Ines P. Nearchou

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

All Works

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12 of 12 papers shown

Tsujimoto, Hironori, Yu Imamura, Yoshiki Kajiwara, et al.. (2024). Development and Validation Study of the Prognostic Impact of Deep Learning-Determined Myxoid Stroma After Neoadjuvant Chemotherapy in Patients with Esophageal Squamous Cell Carcinoma. Annals of Surgical Oncology. 31(9). 6300–6308.

Mochizuki, Satsuki, Yoshiki Kajiwara, K Nagata, et al.. (2022). Cancer‐associated fibroblasts at the unfavorable desmoplastic stroma promote colorectal cancer aggressiveness: Potential role of ADAM9. International Journal of Cancer. 150(10). 1706–1721. 13 indexed citations

Kouzu, Keita, Ines P. Nearchou, Yoshiki Kajiwara, et al.. (2022). Deep‐learning‐based classification of desmoplastic reaction on H&E predicts poor prognosis in oesophageal squamous cell carcinoma. Histopathology. 81(2). 255–263. 7 indexed citations

Brieu, Nicolas, Ines P. Nearchou, Ognjen Arandjelović, et al.. (2021). Assessment of Immunological Features in Muscle-Invasive Bladder Cancer Prognosis Using Ensemble Learning. Cancers. 13(7). 1624–1624. 19 indexed citations

Nearchou, Ines P., et al.. (2021). A Comparison of Methods for Studying the Tumor Microenvironment's Spatial Heterogeneity in Digital Pathology Specimens. Journal of Pathology Informatics. 12(1). 6–6. 17 indexed citations

Nearchou, Ines P., Hideki Ueno, Yoshiki Kajiwara, et al.. (2021). Automated Detection and Classification of Desmoplastic Reaction at the Colorectal Tumour Front Using Deep Learning. Cancers. 13(7). 1615–1615. 12 indexed citations

Shinto, Eiji, Ines P. Nearchou, Hitoshi Tsuda, et al.. (2020). Prognostic significance of mesothelin expression in colorectal cancer disclosed by area-specific four-point tissue microarrays. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 477(3). 409–420. 13 indexed citations

Nearchou, Ines P., Kate Lillard, Yoshiki Kajiwara, et al.. (2020). Spatial immune profiling of the colorectal tumor microenvironment predicts good outcome in stage II patients. npj Digital Medicine. 3(1). 71–71. 43 indexed citations

Nearchou, Ines P., et al.. (2020). Abstract 1576: Molecular profiling of the desmoplastic reaction within the colorectal tumor microenvironment using the nCounter® platform. Cancer Research. 80(16_Supplement). 1576–1576. 1 indexed citations

10.

Nearchou, Ines P., et al.. (2019). Automated Analysis of Lymphocytic Infiltration, Tumor Budding, and Their Spatial Relationship Improves Prognostic Accuracy in Colorectal Cancer. Cancer Immunology Research. 7(4). 609–620. 68 indexed citations

11.

Brieu, Nicolas, et al.. (2019). Automated tumour budding quantification by machine learning augments TNM staging in muscle-invasive bladder cancer prognosis. Scientific Reports. 9(1). 5174–5174. 34 indexed citations

12.

Nearchou, Ines P., Yoshiki Kajiwara, Satsuki Mochizuki, et al.. (2019). Novel Internationally Verified Method Reports Desmoplastic Reaction as the Most Significant Prognostic Feature For Disease-specific Survival in Stage II Colorectal Cancer. The American Journal of Surgical Pathology. 43(9). 1239–1248. 36 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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