Yinling Hu

6.7k total citations · 4 hit papers
71 papers, 5.3k citations indexed

About

Yinling Hu is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Yinling Hu has authored 71 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 34 papers in Cancer Research and 28 papers in Immunology. Recurrent topics in Yinling Hu's work include NF-κB Signaling Pathways (29 papers), Immune Response and Inflammation (10 papers) and Melanoma and MAPK Pathways (9 papers). Yinling Hu is often cited by papers focused on NF-κB Signaling Pathways (29 papers), Immune Response and Inflammation (10 papers) and Melanoma and MAPK Pathways (9 papers). Yinling Hu collaborates with scholars based in United States, China and Germany. Yinling Hu's co-authors include Michael Karin, Mark H. Ellisman, Mireille Delhase, Randall S. Johnson, Yi Chen, Véronique Baud, Yixue Cao, Florian R. Greten, Giuseppina Bonizzi and Shao‐Cong Sun and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Yinling Hu

69 papers receiving 5.3k citations

Hit Papers

Activation by IKKα of a Second, Evolutionary Conserved, N... 1999 2026 2008 2017 2001 1999 1999 2021 250 500 750 1000

Peers

Yinling Hu
Comparison fields: 5 of 113
  • Cancer Research 2.9k
  • Molecular Biology 2.6k
  • Immunology 2.6k
  • Oncology 1.2k
  • Epidemiology 424
Replace Bryant G. Darnay with:
Bryant G. Darnay United States
Mireille Delhase United States
Sivakumar Vallabhapurapu United States
Jorge Caamaño United Kingdom
Yixue Cao United States
David L. Boone United States
Simona Saccani Italy
Youhai H. Chen United States
Yizhi Yu China
Bryant G. Darnay United States View profile →
Citations per field, relative to Yinling Hu
Yinling Hu · 1×
Citations per year, relative to Yinling Hu
Yinling Hu · 1×

Countries citing papers authored by Yinling Hu

Since Specialization
Citations

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

Fields of papers citing papers by Yinling Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinling Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Yinling Hu. A scholar is included among the top collaborators of Yinling Hu 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 Yinling Hu. Yinling Hu 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
# Work Indexed citations
1 10
2 13
3 8
4 9
5 2
6 75
7 10
8 49
9
Genistein suppresses tumor necrosis factor α-induced inflammation via modulating reactive oxygen species/Akt/nuclear factor ΚB and adenosine monophosphate-activated protein kinase signal pathways in human synoviocyte MH7A cells
3
10 88
11 18
12 66
13 16
14 11
15 26
16 56
17 51
18 55
19 61
20 291

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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