Bonnie Huang

2.7k citations
21 papers · 2.0k indexed · 1 hit paper · h-index 15
Topics
T-cell and B-cell Immunology (9 papers)Immune Cell Function and Interaction (9 papers)Immunotherapy and Immune Responses (7 papers)

In The Last Decade

Bonnie Huang

21 papers receiving 2.0k citations

Hit Papers

Structure-based programming of lymph-node targeting in mo...20142026201820222014250500750

Peers

Bonnie Huang
Comparison fields: 5 of 96
  • Immunology 1.1k
  • Molecular Biology 779
  • Oncology 495
  • Biomedical Engineering 449
  • Biomaterials 216
Replace David G. Gonzalez with:
David G. Gonzalez United States
Roger L. Kaspar United States
Robert Nordon Australia
Antonin de Fougerolles United States
Jason Y.H. Chang United States
Deborah Palliser United States
Aileen W. Li United States
Talar Tokatlian United States
Yiqing He China
Joel Sunshine United States
Bonnie Huang relative to David G. Gonzalez United States David G. Gonzalez's profile →
Citations per field
00.5×1.5×1.8×
David G. Gonzalez · 1×
Citations per year

Countries citing papers authored by Bonnie Huang

Since Specialization
Citations

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

Fields of papers citing papers by Bonnie Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bonnie Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Bonnie Huang. A scholar is included among the top collaborators of Bonnie 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 Bonnie Huang. Bonnie Huang 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 15
2 23
3 24
4 8
5 16
6 27
7 28
8 186
9 14
10 18
11 124
12 260
13
Structure-based programming of lymph-node targeting in molecular vaccinesbreakdown →
780
14 232
15 68
16 8
17 1
18 15
19 147
20 13

About Bonnie Huang

Bonnie Huang is a scholar working on Immunology, Immunology and Allergy and Pharmaceutical Science, having authored 21 papers that have together received 2.0k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (9 papers) and Immunotherapy and Immune Responses (7 papers). The work is most often cited by research in Immunology (1.1k citations), Pharmaceutical Science (153 citations) and Oncology (495 citations). Bonnie Huang has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Darrell J. Irvine, Yiran Zheng, Haipeng Liu, Clara Park, Debra Van Egeren, Kelly D. Moynihan, Gregory L. Szeto, Shoukang Luo, Wuhbet Abraham and Pamela L. Schwartzberg. Their work appears in journals such as Nature, Cell and Advanced Materials.

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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