Lang Dou

624 citations
9 papers · 521 · h-index 8

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
  • Hepatology top 10%
    • Liver physiology and pathology
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • T-cell and B-cell Immunology 4
    • Immune cells in cancer 1
    • Liver Diseases and Immunity 1
    • Liver physiology and pathology 1

Lang Dou

9 papers receiving 508 citations

Peers

Lang Dou
Comparison fields: 5 of 52
  • Immunology 201
  • Hepatology 67
  • Oncology 146
  • Radiology, Nuclear Medicine and Imaging 105
  • Pathology and Forensic Medicine 29
Replace Ignazio Piseddu with:
Ignazio Piseddu Germany
Shaun P Cordoba United Kingdom
Daiki YOSHII Japan
Isioma U. Egbuniwe United Kingdom
James W. Sampsel United States
Yun Hua Lee Singapore
Masayuki Hisada Japan
Tsutomu Kanefuji Japan
Andrew Baessler United States
Kristan D. Guenterberg United States
Lang Dou relative to Ignazio Piseddu Germany Ignazio Piseddu's profile →
Citations per field
00.5×5×10×13.1×
Ignazio Piseddu · 1×
Citations per year

Countries citing papers authored by Lang Dou

Since Specialization
Citations

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

Fields of papers citing papers by Lang Dou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lang Dou, 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 Lang Dou Line = papers co-authored together Lang Dou links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2020151
2 2018127
3 201767
4 201458
5 201536
6 202030
7 201126
8 201819
9 20247

About Lang Dou

Lang Dou is a scholar working on Immunology, Hepatology, Radiology, Nuclear Medicine and Imaging, Oncology and Epidemiology, having authored 9 papers that have together received 521 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Hepatitis B Virus Studies (2 papers), Liver Diseases and Immunity (1 paper), Immune cells in cancer (1 paper) and Liver physiology and pathology (1 paper). The work is most often cited by research in Immunology (201 citations), Hepatology (67 citations), Oncology (146 citations), Radiology, Nuclear Medicine and Imaging (105 citations) and Pathology and Forensic Medicine (29 citations). Lang Dou has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Yifang Gao, Xiaoshun He, Xiaomin Shi, Mark Steven Cragg, Stephen A. Beers, Martin J. Glennie, Wenjing He, Khiyam Hussain, Diego Gómez‐Nicola and Jian‐Guo Chai. Their work appears in journals such as The Journal of Immunology, Frontiers in Immunology, Cancer Research, Immunity and Journal of Viral Hepatitis.

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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