Dan Yin

1.7k citations
56 papers · 873 · h-index 16

Impact in

  • Oncology top 10%
    • Inflammatory Biomarkers in Disease Prognosis
    • Cancer Immunotherapy and Biomarkers
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Dan Yin

52 papers receiving 864 citations

Peers

Dan Yin
Comparison fields: 5 of 96
  • Oncology 226
  • Cancer Research 118
  • Hepatology 46
  • Immunology 127
  • Infectious Diseases 104
Replace Fusheng Si with:
Fusheng Si China
Masami Moriyama Japan
Shi Liu China
Haixu Xu China
Amitabha Deb United States
Qiang Hou China
Yongxin Mu China
Aline Sandouk United States
Sho Hangai Japan
Bianhong Zhang China
Dan Yin relative to Fusheng Si China Fusheng Si's profile →
Citations per field
00.5×6.5×
Fusheng Si · 1×
Citations per year

Countries citing papers authored by Dan Yin

Since Specialization
Citations

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

Fields of papers citing papers by Dan Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019168
2 201566
3 201562
4 201842
5 202140
6 202039
7 202136
8 201928
9 201827
10 201724
11 201921
12 201721
13 201720
14 200719
15 202216
16 201716
17 201814
18 202114
19 201812
20 202112

About Dan Yin

Dan Yin is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Infectious Diseases, Oncology and Surgery, having authored 56 papers that have together received 873 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (8 papers), Viral gastroenteritis research and epidemiology (7 papers), Animal Disease Management and Epidemiology (7 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers), Vector-Borne Animal Diseases (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Advanced Antenna and Metasurface Technologies (3 papers) and Metamaterials and Metasurfaces Applications (3 papers). The work is most often cited by research in Oncology (226 citations), Cancer Research (118 citations), Hepatology (46 citations), Immunology (127 citations) and Infectious Diseases (104 citations). Dan Yin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jia Fan, Jian Zhou, Zheng‐Jun Zhou, Shao‐Lai Zhou, Chu‐Bin Luo, Ying–Hong Shi, Qing Chen, Zhiqiang Hu, Xiaowu Huang and Haoyang Xin. Their work appears in journals such as PLoS ONE, Poultry Science, Oncotarget, Medicine and Hepatology.

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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