Naoshi Nishida

9.5k total citations
214 papers, 5.9k citations indexed

About

Naoshi Nishida is a scholar working on Hepatology, Epidemiology and Oncology. According to data from OpenAlex, Naoshi Nishida has authored 214 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Hepatology, 60 papers in Epidemiology and 58 papers in Oncology. Recurrent topics in Naoshi Nishida's work include Hepatocellular Carcinoma Treatment and Prognosis (71 papers), Liver Disease Diagnosis and Treatment (43 papers) and Hepatitis C virus research (28 papers). Naoshi Nishida is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (71 papers), Liver Disease Diagnosis and Treatment (43 papers) and Hepatitis C virus research (28 papers). Naoshi Nishida collaborates with scholars based in Japan, United States and United Kingdom. Naoshi Nishida's co-authors include Masatoshi Kudo, Toshiharu Sakurai, Satoru Hagiwara, Ajay Goel, Kazuomi Ueshima, Masayuki Kitano, Tadaaki Arizumi, Tomohiro Watanabe, Takeshi Nagasaka and Masahiro Takita and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Immunology and Gastroenterology.

In The Last Decade

Naoshi Nishida

205 papers receiving 5.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naoshi Nishida Japan 42 2.3k 1.7k 1.6k 1.4k 1.1k 214 5.9k
Cheol Keun Park South Korea 40 2.0k 0.9× 1.3k 0.7× 1.5k 0.9× 1.4k 1.0× 805 0.7× 169 6.2k
Kenichi Wakasa Japan 40 2.2k 1.0× 1.2k 0.7× 1.5k 0.9× 2.1k 1.5× 808 0.7× 260 6.5k
Sean P. Cleary United States 39 1.6k 0.7× 1.0k 0.6× 2.6k 1.6× 1.3k 1.0× 953 0.8× 215 5.6k
Helen L. Reeves United Kingdom 36 4.0k 1.7× 2.2k 1.3× 1.3k 0.8× 4.6k 3.2× 1.3k 1.2× 95 8.3k
Hironori Haga Japan 50 2.8k 1.2× 979 0.6× 1.6k 1.0× 1.6k 1.1× 490 0.4× 329 7.9k
Katsunori Imai Japan 38 1.4k 0.6× 1.4k 0.8× 1.8k 1.2× 632 0.4× 630 0.5× 289 4.9k
Satoru Hagiwara Japan 34 2.1k 0.9× 622 0.4× 743 0.5× 1.3k 0.9× 519 0.5× 162 3.7k
Junji Yamamoto Japan 43 2.2k 1.0× 672 0.4× 2.9k 1.8× 1.2k 0.8× 616 0.5× 228 6.9k
Toshifumi Wakai Japan 44 774 0.3× 1.7k 1.0× 2.2k 1.4× 658 0.5× 768 0.7× 346 6.0k
Charing C. N. Chong Hong Kong 33 1.9k 0.8× 513 0.3× 1.3k 0.8× 1.3k 0.9× 623 0.5× 133 3.9k

Countries citing papers authored by Naoshi Nishida

Since Specialization
Citations

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

Fields of papers citing papers by Naoshi Nishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoshi Nishida

This figure shows the co-authorship network connecting the top 25 collaborators of Naoshi Nishida. A scholar is included among the top collaborators of Naoshi Nishida 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 Naoshi Nishida. Naoshi Nishida 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
2.
Morita, Masahiro, Naoshi Nishida, Tomoko Aoki, et al.. (2023). Role of β-Catenin Activation in the Tumor Immune Microenvironment and Immunotherapy of Hepatocellular Carcinoma. Cancers. 15(8). 2311–2311. 20 indexed citations
3.
Hagiwara, Satoru, Naoshi Nishida, & Masatoshi Kudo. (2023). Advances in Immunotherapy for Hepatocellular Carcinoma. Cancers. 15(7). 2070–2070. 8 indexed citations
5.
Hagiwara, Satoru, Tomohiro Watanabe, Masatoshi Kudo, et al.. (2021). Clinicopathological analysis of hepatic immune-related adverse events in comparison with autoimmune hepatitis and graft-versus host disease. Scientific Reports. 11(1). 9242–9242. 14 indexed citations
6.
Hughes, David M., Sarah Berhane, Hidenori Toyoda, et al.. (2020). Serum Levels of α-Fetoprotein Increased More Than 10 Years Before Detection of Hepatocellular Carcinoma. Clinical Gastroenterology and Hepatology. 19(1). 162–170.e4. 22 indexed citations
7.
Nishida, Naoshi & Masatoshi Kudo. (2019). Liver damage related to immune checkpoint inhibitors. Hepatology International. 13(3). 248–252. 33 indexed citations
8.
Nishida, Naoshi & Masatoshi Kudo. (2017). Role of Immune Checkpoint Blockade in the Treatment for Human Hepatocellular Carcinoma. Digestive Diseases. 35(6). 618–622. 10 indexed citations
9.
Nagai, Tomoyuki, Tokuzo Arao, Kazuto Nishio, et al.. (2016). Impact of Tight Junction Protein ZO-1 and TWIST Expression on Postoperative Survival of Patients with Hepatocellular Carcinoma. Digestive Diseases. 34(6). 702–707. 17 indexed citations
10.
Yamada, Atsushi, Takahiro Horimatsu, Yoshinaga Okugawa, et al.. (2015). Serum miR-21, miR-29a, and miR-125b Are Promising Biomarkers for the Early Detection of Colorectal Neoplasia. Clinical Cancer Research. 21(18). 4234–4242. 131 indexed citations
11.
Kudo, Masatoshi, Masayuki Kitano, Toshiharu Sakurai, & Naoshi Nishida. (2015). Challenges of Clinical Research on Hepatocellular Carcinoma. Digestive Diseases. 33(6). 780–790. 3 indexed citations
12.
Minami, Yasunori, Takamichi Murakami, Masayuki Kitano, et al.. (2015). Cone-Beam CT Angiography for Hepatocellular Carcinoma: Current Status. Digestive Diseases. 33(6). 759–764. 7 indexed citations
13.
Sakurai, Toshiharu, Hiroshi Kashida, Tomohiro Watanabe, et al.. (2014). Stress Response Protein Cirp Links Inflammation and Tumorigenesis in Colitis-Associated Cancer. Cancer Research. 74(21). 6119–6128. 65 indexed citations
14.
Kono, Masashi, Tatsuo Inoue, Masatoshi Kudo, et al.. (2014). Radiofrequency Ablation for Hepatocellular Carcinoma Measuring 2 cm or Smaller: Results and Risk Factors for Local Recurrence. Digestive Diseases. 32(6). 670–677. 30 indexed citations
15.
Arizumi, Tadaaki, Kazuomi Ueshima, Masahiro Takita, et al.. (2012). Long duration of stable disease may improve overall survival in patients with advanced hepatocellular carcinoma treated with sorafenib. Kanzo. 53(6). 348–350.
16.
Nagasaka, Takeshi, Minoru Koi, Matthias Kloor, et al.. (2008). Mutations in Both KRAS and BRAF May Contribute to the Methylator Phenotype in Colon Cancer. Gastroenterology. 134(7). 1950–1960.e1. 100 indexed citations
17.
Nishida, Naoshi, Takafumi Nishimura, Takeshi Nagasaka, et al.. (2007). Extensive Methylation Is Associated with β-Catenin Mutations in Hepatocellular Carcinoma: Evidence for Two Distinct Pathways of Human Hepatocarcinogenesis. Cancer Research. 67(10). 4586–4594. 47 indexed citations
18.
Kanbara, Yoshihiro, Takafumi Nishimura, Naoshi Nishida, et al.. (2006). Genome-wide microsatellite analysis of focal nodular hyperplasia: a strong tool for the differential diagnosis of non-neoplastic liver nodule from hepatocellular carcinoma. Journal of Hepato-Biliary-Pancreatic Surgery. 13(5). 416–420. 1 indexed citations
19.
Nishida, Naoshi, Yoshihiro Fukuda, Toshiki Komeda, et al.. (2002). Prognostic Impact of Multiple Allelic Losses on Metastatic Recurrence in Hepatocellular Carcinoma after Curative Resection. Oncology. 62(2). 141–148. 24 indexed citations
20.
Kishi, Koichi, Tetsuo Sonomura, Naoshi Nishida, et al.. (1992). [Expandable metallic stent therapy for SVC syndrome--effects on local venous pressure, vascular diameter, symptoms, and these correlations].. PubMed. 52(12). 1661–70. 5 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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