Daniel Karin

838 citations
9 papers · 694 · h-index 8

Impact in

  • Hepatology top 5%
    • Liver physiology and pathology
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Diseases and Immunity
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Liver physiology and pathology 5
    • Liver Diseases and Immunity 1
    • Hepatocellular Carcinoma Treatment and Prognosis 1
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1
    • Immunotherapy and Immune Responses 1

Daniel Karin

9 papers receiving 692 citations

Peers

Daniel Karin
Comparison fields: 5 of 60
  • Hepatology 301
  • Oncology 108
  • Immunology 81
  • Cancer Research 30
  • Pathology and Forensic Medicine 37
Replace Xiaofeng Qian with:
Xiaofeng Qian China
Borut R. S. Klopcic Australia
Yanshen Peng China
Chen Zong China
Jinzhen Cai China
Hajime Sunagozaka Japan
Mirella Pastore Italy
Marina Bárcena‐Varela Spain
Shigenari Hozawa Japan
Junaid Ibrahim United States
Daniel Karin relative to Xiaofeng Qian China Xiaofeng Qian's profile →
Citations per field
00.5×1.5×
Xiaofeng Qian · 1×
Citations per year

Countries citing papers authored by Daniel Karin

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Karin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Karin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Karin Line = papers co-authored together Daniel Karin links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2019172
2 2016112
3 2019111
4 201795
5 202186
6 201883
7 202317
8 202210
9 20228

About Daniel Karin

Daniel Karin is a scholar working on Hepatology, Immunology, Oncology, Pathology and Forensic Medicine and Molecular Biology, having authored 9 papers that have together received 694 indexed citations. Recurring topics across this work include Liver physiology and pathology (5 papers), Cancer Immunotherapy and Biomarkers (2 papers), Alcohol Consumption and Health Effects (1 paper), Redox biology and oxidative stress (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Liver Diseases and Immunity (1 paper), Immunotherapy and Immune Responses (1 paper) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Hepatology (301 citations), Oncology (108 citations), Immunology (81 citations), Cancer Research (30 citations) and Pathology and Forensic Medicine (37 citations). Daniel Karin has collaborated with scholars based in United States, Japan and China. Frequent co-authors include David A. Brenner, Tatiana Kisseleva, Shuang Liang, Jun Xu, Yukinori Koyama, Kojiro Taura, Keiko Iwaisako, Debanjan Dhar, Takahiro Nishio and Hsiao‐Yen Ma. Their work appears in journals such as Journal of Hepatology, Journal of Clinical Investigation, Gastroenterology, Molecular Cancer and Journal of Nuclear Medicine.

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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