Hu Nie

843 citations
13 papers · 396 indexed · 1 hit paper · h-index 10
Topics
RNA Research and Splicing (4 papers)RNA modifications and cancer (3 papers)Cancer-related molecular mechanisms research (3 papers)
Partner nations
ChinaUnited StatesIndia

In The Last Decade

Hu Nie

13 papers receiving 387 citations

Hit Papers

Contrasting cytotoxic and regulatory T cell responses und...20252026202551015

Peers

Hu Nie
Comparison fields: 5 of 68
  • Molecular Biology 266
  • Genetics 99
  • Ecology 46
  • Public Health, Environmental and Occupational Health 42
  • Cancer Research 41
Replace Ana S. Quina with:
Ana S. Quina Portugal
Rola Dali Canada
Maia J. Benner United States
R. John Davenport United States
Natalie Y. Barnes United States
R. Morais Canada
Timothy J. C. Bruxner Australia
Xiaofeng Wan China
Manjinder S. Cheema Canada
Jaime M. Tovar-Corona United Kingdom
Hu Nie relative to Ana S. Quina Portugal Ana S. Quina's profile →
Citations per field
00.5×3.6×
Ana S. Quina · 1×
Citations per year

Countries citing papers authored by Hu Nie

Since Specialization
Citations

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

Fields of papers citing papers by Hu Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hu Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Hu Nie. A scholar is included among the top collaborators of Hu Nie 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 Hu Nie. Hu Nie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1
Contrasting cytotoxic and regulatory T cell responses underlying distinct clinical outcomes to anti-PD-1 plus lenvatinib therapy in cancerbreakdown →
18
2 5
3 37
4 15
5 8
6 26
7 49
8 4
9 80
10 33
11 81
12 15
13 25

About Hu Nie

Hu Nie is a scholar working on Developmental Neuroscience, Cancer Research and Rheumatology, having authored 13 papers that have together received 396 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Molecular Biology (266 citations), Genetics (99 citations) and Cancer Research (41 citations). Hu Nie has collaborated with scholars based in China, United States and India. Frequent co-authors include Falong Lu, Yusheng Liu, Hongxiang Liu, Cao Deng, Yang He, Jiaqiang Wang, Dong‐Dong Wu, Wenzhi Wang, Li Ding and Jia‐Tang Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Cancer Cell.

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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