Ning‐Na Huang

1.6k total citations · 1 hit paper
18 papers, 1.3k citations indexed

About

Ning‐Na Huang is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Ning‐Na Huang has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Physiology and 5 papers in Immunology. Recurrent topics in Ning‐Na Huang's work include Adenosine and Purinergic Signaling (5 papers), Mitochondrial Function and Pathology (3 papers) and ATP Synthase and ATPases Research (3 papers). Ning‐Na Huang is often cited by papers focused on Adenosine and Purinergic Signaling (5 papers), Mitochondrial Function and Pathology (3 papers) and ATP Synthase and ATPases Research (3 papers). Ning‐Na Huang collaborates with scholars based in United States. Ning‐Na Huang's co-authors include John H. Kehrl, Chong-Shan Shi, Leon Heppel, Neel R. Nabar, Il‐Young Hwang, Sang‐Bae Han, Cédric Boularan, Ali Vural, Fernando A. González and Hyeseon Cho and has published in prestigious journals such as Journal of Biological Chemistry, Immunity and The Journal of Immunology.

In The Last Decade

Ning‐Na Huang

18 papers receiving 1.2k citations

Hit Papers

SARS-Coronavirus Open Reading Frame-8b triggers intracell... 2019 2026 2021 2023 2019 100 200 300

Peers

Ning‐Na Huang
Comparison fields: 5 of 97
  • Molecular Biology 635
  • Immunology 269
  • Infectious Diseases 234
  • Physiology 210
  • Oncology 129
Replace Stephan Schlösser with:
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Carlos de Torre‐Minguela Spain
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Stephan Schlösser Germany View profile →
Citations per field, relative to Ning‐Na Huang
Ning‐Na Huang · 1×
Citations per year, relative to Ning‐Na Huang
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Countries citing papers authored by Ning‐Na Huang

Since Specialization
Citations

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

Fields of papers citing papers by Ning‐Na Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ning‐Na Huang. 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 Ning‐Na Huang. The network helps show where Ning‐Na Huang may publish in the future.

Co-authorship network of co-authors of Ning‐Na Huang

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

All Works

18 of 18 papers shown
# Work Indexed citations
1
SARS-Coronavirus Open Reading Frame-8b triggers intracellular stress pathways and activates NLRP3 inflammasomes breakdown →
315
2 18
3 167
4 11
5 53
6 24
7 46
8 149
9 105
10 31
11 5
12 121
13 14
14 32
15 47
16 85
17 11
18 34

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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