Sohji Nishina

1.7k total citations
36 papers, 1.1k citations indexed

About

Sohji Nishina is a scholar working on Epidemiology, Hepatology and Hematology. According to data from OpenAlex, Sohji Nishina has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Epidemiology, 14 papers in Hepatology and 9 papers in Hematology. Recurrent topics in Sohji Nishina's work include Liver Disease Diagnosis and Treatment (15 papers), Hepatitis C virus research (10 papers) and Iron Metabolism and Disorders (9 papers). Sohji Nishina is often cited by papers focused on Liver Disease Diagnosis and Treatment (15 papers), Hepatitis C virus research (10 papers) and Iron Metabolism and Disorders (9 papers). Sohji Nishina collaborates with scholars based in Japan, United States and Italy. Sohji Nishina's co-authors include Keisuke Hino, Yuichi Hara, Masaaki Korenaga, Izumi Yanatori, Isao Sakaida, Fumio Kishi, Takakazu Furutani, Michiari Okuda, Yasuyuki Tomiyama and Kiwamu Okita and has published in prestigious journals such as Gastroenterology, Hepatology and The FASEB Journal.

In The Last Decade

Sohji Nishina

33 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sohji Nishina Japan 19 430 329 254 231 190 36 1.1k
Jaswinder Singh Maras India 15 366 0.9× 239 0.7× 248 1.0× 57 0.2× 44 0.2× 61 749
Erica Sparkenbaugh United States 21 124 0.3× 467 1.4× 78 0.3× 497 2.2× 92 0.5× 43 1.5k
Fujun Li China 20 125 0.3× 607 1.8× 65 0.3× 155 0.7× 345 1.8× 62 1.3k
Norio Hirota Japan 21 191 0.4× 323 1.0× 165 0.6× 35 0.2× 140 0.7× 66 1.2k
Zhao‐Yang Lu China 23 164 0.4× 779 2.4× 43 0.2× 250 1.1× 439 2.3× 64 1.7k
Keizo Kagawa Japan 20 360 0.8× 300 0.9× 331 1.3× 18 0.1× 232 1.2× 70 1.1k
Nils Nyhlin Sweden 21 563 1.3× 389 1.2× 145 0.6× 34 0.1× 83 0.4× 46 1.1k
Yoon Hwan Chang South Korea 15 99 0.2× 241 0.7× 46 0.2× 131 0.6× 118 0.6× 66 618
Alina Ostrowska United States 17 128 0.3× 356 1.1× 311 1.2× 19 0.1× 194 1.0× 39 1.2k
Annette Grambihler Germany 12 540 1.3× 556 1.7× 419 1.6× 33 0.1× 238 1.3× 19 1.3k

Countries citing papers authored by Sohji Nishina

Since Specialization
Citations

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

Fields of papers citing papers by Sohji Nishina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sohji Nishina

This figure shows the co-authorship network connecting the top 25 collaborators of Sohji Nishina. A scholar is included among the top collaborators of Sohji Nishina 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 Sohji Nishina. Sohji Nishina 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.
Hino, Keisuke, Sohji Nishina, & Izumi Yanatori. (2025). Ferroptosis: biology and role in liver disease. Journal of Gastroenterology. 60(11). 1339–1361.
2.
So, Ryuhei, Kazuya Kariyama, Shunsuke Oyamada, et al.. (2025). Effectiveness of screening and ultra-brief intervention for hazardous drinking in primary care: pragmatic cluster randomised controlled trial. BMJ. 390. e083985–e083985.
3.
So, Ryuhei, Kazuya Kariyama, Shunsuke Oyamada, et al.. (2024). Prevalence of hazardous drinking and suspected alcohol dependence in Japanese primary care settings. General Hospital Psychiatry. 89. 8–15. 4 indexed citations
4.
Yoshida, Koji, Yoshihiro Nakashima, Yasuyuki Tomiyama, et al.. (2023). Pancreatic ductal adenocarcinoma with acinar-to-ductal metaplasia-like cancer cells shows increased cellular proliferation. Pancreatology. 23(7). 811–817. 1 indexed citations
5.
Yanatori, Izumi, Sohji Nishina, Fumio Kishi, & Keisuke Hino. (2023). Newly uncovered biochemical and functional aspects of ferritin. The FASEB Journal. 37(8). e23095–e23095. 36 indexed citations
6.
7.
Nishina, Sohji, Yasuyuki Tomiyama, Katsuya Ikuta, et al.. (2021). Long-term phlebotomy successfully alleviated hepatic iron accumulation in a ferroportin disease patient with a mutation in SLC40A1: a case report. BMC Gastroenterology. 21(1). 111–111. 6 indexed citations
8.
Nishida, Nao, Masaya Sugiyama, Hiromi Sawai, et al.. (2018). Key HLA‐DRB1‐DQB1 haplotypes and role of the BTNL2 gene for response to a hepatitis B vaccine. Hepatology. 68(3). 848–858. 45 indexed citations
9.
Nishina, Sohji, Akira Yamauchi, Takumi Kawaguchi, et al.. (2018). Dipeptidyl Peptidase 4 Inhibitors Reduce Hepatocellular Carcinoma by Activating Lymphocyte Chemotaxis in Mice. Cellular and Molecular Gastroenterology and Hepatology. 7(1). 115–134. 86 indexed citations
10.
Kawase, Tomoya, Yumiko Yasui, Sohji Nishina, et al.. (2015). Fibroblast activation protein-α-expressing fibroblasts promote the progression of pancreatic ductal adenocarcinoma. BMC Gastroenterology. 15(1). 109–109. 86 indexed citations
11.
Hara, Yuichi, Izumi Yanatori, Masanori Ikeda, et al.. (2014). Hepatitis C Virus Core Protein Suppresses Mitophagy by Interacting with Parkin in the Context of Mitochondrial Depolarization. American Journal Of Pathology. 184(11). 3026–3039. 47 indexed citations
12.
Nishina, Sohji, et al.. (2013). A follow-up survey of hepatitis virus carriers after notification of their infection in Okayama prefecture. Kanzo. 54(1). 84–86. 1 indexed citations
13.
Korenaga, Keiko, Masaaki Korenaga, Toshiko Suzuki, et al.. (2013). Clinical usefulness of non‐protein respiratory quotient measurement in non‐alcoholic fatty liver disease. Hepatology Research. 43(12). 1284–1294. 5 indexed citations
14.
Hino, Keisuke, Sohji Nishina, & Yuichi Hara. (2012). Iron metabolic disorder in chronic hepatitis C: insights from recent evidence. Clinical Journal of Gastroenterology. 5(4). 251–256. 1 indexed citations
15.
Korenaga, Masaaki, Isao Hidaka, Sohji Nishina, et al.. (2011). A glycyrrhizin-containing preparation reduces hepatic steatosis induced by hepatitis C virus protein and iron in mice. Liver International. 31(4). 552–560. 32 indexed citations
16.
Nishina, Sohji, Masaaki Korenaga, Isao Hidaka, et al.. (2010). Hepatitis C virus protein and iron overload induce hepatic steatosis through the unfolded protein response in mice. Liver International. 30(5). 683–692. 26 indexed citations
17.
Hino, Keisuke, Fumie Kurokawa, Sohji Nishina, et al.. (2008). Validating a Markov Model of Treatment for Hepatitis C Virus-related Hepatocellular Carcinoma. Methods of Information in Medicine. 47(6). 529–540. 4 indexed citations
18.
Korenaga, Masaaki, Keisuke Hino, Masanori Ikeda, et al.. (2008). Mitochondrial electron transport inhibition in full genomic hepatitis C virus replicon cells is restored by reducing viral replication. Liver International. 28(8). 1158–1166. 19 indexed citations
19.
20.
Furutani, Takakazu, Keisuke Hino, Michiari Okuda, et al.. (2006). Hepatic Iron Overload Induces Hepatocellular Carcinoma in Transgenic Mice Expressing the Hepatitis C Virus Polyprotein. Gastroenterology. 130(7). 2087–2098. 125 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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