Na Xiong

6.4k citations
63 papers · 4.7k indexed · 4 hit papers · h-index 26
Topics
Immune Cell Function and Interaction (35 papers)T-cell and B-cell Immunology (29 papers)Immunotherapy and Immune Responses (15 papers)
Partner nations
United StatesChinaIndia

In The Last Decade

Na Xiong

58 papers receiving 4.6k citations

Hit Papers

PAD4 is essential for antibacterial innate immunity media...200220262010201820102008200220182505007501000

Peers

Na Xiong
Comparison fields: 5 of 112
  • Immunology 3.4k
  • Molecular Biology 1.1k
  • Oncology 907
  • Epidemiology 388
  • Pulmonary and Respiratory Medicine 350
Replace Jordi Ochando with:
Jordi Ochando United States
Federica Calzetti Italy
Satoshi Ueha Japan
George McGrady United States
Daniela Bosisio Italy
Kazuko Shibuya Japan
Joanne E. Konkel United Kingdom
Sara Gasperini Italy
Patrizia Scapini Italy
Véronique Angeli Singapore
Na Xiong relative to Jordi Ochando United States Jordi Ochando's profile →
Citations per field
00.5×1.7×
Jordi Ochando · 1×
Citations per year

Countries citing papers authored by Na Xiong

Since Specialization
Citations

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

Fields of papers citing papers by Na Xiong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Xiong

This figure shows the co-authorship network connecting the top 25 collaborators of Na Xiong. A scholar is included among the top collaborators of Na Xiong 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 Na Xiong. Na Xiong 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 0
2 3
3 0
4 1
5 14
6 12
7 2
8 13
9 2
10 13
11 125
12
Intrathymic programming of effector fates in three molecularly distinct {gamma}{delta} T cell subtypes
5
13 52
14 20
15 61
16 78
17 8
18 136
19 10
20
Recombinant human pp14 inhibits expression of IL-2 by jurkat cells
1

About Na Xiong

Na Xiong is a scholar working on Immunology, Dermatology and Rehabilitation, having authored 63 papers that have together received 4.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (35 papers), T-cell and B-cell Immunology (29 papers) and Immunotherapy and Immune Responses (15 papers). The work is most often cited by research in Immunology (3.4k citations), Immunology and Allergy (212 citations) and Oncology (907 citations). Na Xiong has collaborated with scholars based in United States, China and India. Frequent co-authors include David H. Raulet, Mary J. Kennett, Yanming Wang, Ming Li, Pingxin Li, Michael Lindberg, A. M. Jamieson, James R. Carlyle, Andreas Diefenbach and Christopher W. McMahon. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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