Ninghai Wang

2.6k citations
39 papers · 2.1k indexed · h-index 27
  • Immunology top 1%
    • Immune Cell Function and Interaction 30
    • T-cell and B-cell Immunology 24
    • Immune Response and Inflammation 8
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 5
    • Immunotherapy and Immune Responses 5
    • Immune cells in cancer 4
    • interferon and immune responses 3
  • Hematology top 5%
  • Oncology top 10%
    • CAR-T cell therapy research 6
  • Physiology top 10%

Ninghai Wang

39 papers receiving 2.1k citations

Peers

Ninghai Wang
Comparison fields: 5 of 87
  • Immunology 1.7k
  • Hematology 228
  • Oncology 404
  • Physiology 37
  • Epidemiology 241
Replace Noriko Arase with:
Noriko Arase Japan
Vrajesh V. Parekh United States
Suzanne B. Hartley United States
Elizabeth E. Eynon United States
Heiko Bruns Germany
Megan Barnden Australia
Luke M. Williams United States
Elissa K. Deenick Australia
Jennifer L. Matsuda United States
Ninghai Wang relative to Noriko Arase Japan Noriko Arase's profile →
Citations per field
00.5×2.8×
Noriko Arase · 1×
Citations per year

Countries citing papers authored by Ninghai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ninghai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ninghai Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ninghai Wang Line = papers co-authored together Ninghai Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201942
2 20197
3 201822
4 201518
5 201533
6 201534
7 201336
8 201229
9 201218
10 201249
11 201236
12 201132
13 2010146
14 2008135
15 200761
16 2007276
17 200630
18 2004153
19 200154
20 200044

About Ninghai Wang

Ninghai Wang is a scholar working on Immunology, Hematology, Oncology, Virology and Endocrinology, having authored 39 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (30 papers), T-cell and B-cell Immunology (24 papers), Immune Response and Inflammation (8 papers), CAR-T cell therapy research (6 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers), Immunotherapy and Immune Responses (5 papers), Immune cells in cancer (4 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Immunology (1.7k citations), Hematology (228 citations), Oncology (404 citations), Physiology (37 citations) and Epidemiology (241 citations). Ninghai Wang has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Cox Terhorst, Duncan Howie, Pablo Engel, Chengbin Wu, Svend T. Rietdijk, Charles Gullo, Arlene H. Sharpe, Xavier Romero, Scott B. Berger and Aimée Julien. Their work appears in journals such as The Journal of Immunology, Frontiers in Immunology, The Journal of Experimental Medicine, Immunogenetics and Nature Immunology.

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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