Songqing Na

5.8k citations
32 papers · 4.7k indexed · 2 hit papers · h-index 22
Topics
T-cell and B-cell Immunology (10 papers)Immune Cell Function and Interaction (9 papers)Cytokine Signaling Pathways and Interactions (6 papers)

In The Last Decade

Songqing Na

32 papers receiving 4.6k citations

Hit Papers

Decreased apoptosis in the brain and premature lethality ...19962026200620161996200550010001.5k

Peers

Songqing Na
Comparison fields: 5 of 128
  • Molecular Biology 2.4k
  • Immunology 1.4k
  • Pathology and Forensic Medicine 771
  • Oncology 729
  • Cancer Research 698
Replace Ana Aranda with:
Ana Aranda Spain
Sawsan Youssef United States
Deborah J. Veis United States
Yoshiyuki Rikitake Japan
Masahide Ohmichi Japan
Liam J. Murphy Canada
Hisakazu Ogita Japan
Claudio Procaccini Italy
Martha Kirby United States
Eva Tolosa Germany
Songqing Na relative to Ana Aranda Spain Ana Aranda's profile →
Citations per field
00.5×1.5×2.3×
Ana Aranda · 1×
Citations per year

Countries citing papers authored by Songqing Na

Since Specialization
Citations

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

Fields of papers citing papers by Songqing Na

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songqing Na

This figure shows the co-authorship network connecting the top 25 collaborators of Songqing Na. A scholar is included among the top collaborators of Songqing Na 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 Songqing Na. Songqing Na 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
#WorkIndexed citations
1 11
2 60
3 16
4 45
5 49
6 291
7 4
8 117
9 11
10 17
11 26
12 430
13 14
14 7
15 15
16 61
17 26
18
Decreased apoptosis in the brain and premature lethality in CPP32-deficient micebreakdown →
1613
19 49
20 22

About Songqing Na

Songqing Na is a scholar working on Immunology, Oncology and Pathology and Forensic Medicine, having authored 32 papers that have together received 4.7k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (10 papers), Immune Cell Function and Interaction (9 papers) and Cytokine Signaling Pathways and Interactions (6 papers). The work is most often cited by research in Immunology (1.4k citations), Developmental Neuroscience (196 citations) and Cancer Research (698 citations). Songqing Na has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Sunil Nagpal, Richard A. Flavell, Chia‐Yi Kuan, Pasko Rakić, Timothy S. Zheng, Di Yang, Hajime Karasuyama, Keisuke Kuida, Jonathon D. Sedgwick and Derek Yang. Their work appears in journals such as Nature, Science and Journal of Biological Chemistry.

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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