Haichun Huang

780 citations
12 papers · 616 indexed · 1 hit paper · h-index 7

Haichun Huang

10 papers receiving 593 citations

Hit Papers

In Vitro Characterization of the Anti-PD-1 Antibody Nivol...4722014202620182022100200300400

Peers

Haichun Huang
Comparison fields: 5 of 77
  • Oncology 418
  • Immunology 240
  • Radiology, Nuclear Medicine and Imaging 102
  • Pulmonary and Respiratory Medicine 102
  • Genetics 33
Replace Matthew Winans with:
Matthew Winans United States
Lorenzo Castagnoli Italy
Aizhi Zhao China
Anna Dahlman Sweden
Nikko Brix Germany
LG Durrant United Kingdom
Alessia Zoso United States
Marie-France Pichon France
Laurence Fayadat‐Dilman United States
Larissa Shenker United States
Haichun Huang relative to Matthew Winans United States Matthew Winans's profile →
Citations per field
00.5×7.7×
Matthew Winans · 1×
Citations per year

Countries citing papers authored by Haichun Huang

Since Specialization
Citations

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

Fields of papers citing papers by Haichun Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Haichun Huang, 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 Haichun Huang Line = papers co-authored together Haichun Huang links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 20220
2 20214
3 20202
4 201824
5 201635
6 201610
7
In Vitro Characterization of the Anti-PD-1 Antibody Nivolumab, BMS-936558, and In Vivo Toxicology in Non-Human Primatesbreakdown →
2014472
8 201116
9 200939
10
[The adenovirus-mediated HSV-TK/GCV suicide gene system in the treatment of tongue carcinoma cell line].
20013
11 19960
12 199411

About Haichun Huang

Haichun Huang is a scholar working on Neurology, Immunology and Biotechnology, having authored 12 papers that have together received 616 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Immunotherapy and Immune Responses (3 papers), Glycosylation and Glycoproteins Research (2 papers), Barrier Structure and Function Studies (2 papers), Cancer Research and Treatments (2 papers), T-cell and B-cell Immunology (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Metabolomics and Mass Spectrometry Studies (1 paper). The work is most often cited by research in Oncology (418 citations), Immunology (240 citations) and Radiology, Nuclear Medicine and Imaging (102 citations). Haichun Huang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Michelle Kuhne, Diann Blanset, Alan J. Korman, Xitao Wang, Diane Feingersh, M. S. Srinivasan, Sujata Singh, Roderick T. Bunch, Minhua Han and Kent Thudium. Their work appears in journals such as Cancer Research, Analytica Chimica Acta and Plant Molecular Biology.

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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