Haiting Long

1.0k citations
5 papers · 34 · h-index 3

Impact in

    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Viral-associated cancers and disorders
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immune Cell Function and Interaction 3
    • T-cell and Retrovirus Studies 1
    • Immunotherapy and Immune Responses 1
    • COVID-19 Clinical Research Studies 2
    • SARS-CoV-2 and COVID-19 Research 2
Partner nations
China

In The Last Decade

Haiting Long

5 papers receiving 34 citations

Peers

Haiting Long
Comparison fields: 5 of 27
  • Immunology 19
  • Oncology 20
  • Infectious Diseases 9
  • Biological Psychiatry 1
  • Behavioral Neuroscience 1
Replace Asha Soosapilla with:
Asha Soosapilla United States
Gabriela Steiner United States
Frances Winkler Germany
Yongliang Zhao China
Jaime Valentín Quiroga Spain
Sarah Diggelmann Switzerland
Michael Adam United States
Joshua Brand United States
Sandy S. Burkart Germany
Alice Allcock United Kingdom
Haiting Long relative to Asha Soosapilla United States Asha Soosapilla's profile →
Citations per field
00.5×3.5×
Asha Soosapilla · 1×
Citations per year

Countries citing papers authored by Haiting Long

Since Specialization
Citations

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

Fields of papers citing papers by Haiting Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1 201614
2 201313
3 20234
4 20222
5 20171

About Haiting Long

Haiting Long is a scholar working on Immunology, Infectious Diseases, Oncology, Epidemiology and Virology, having authored 5 papers that have together received 34 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), COVID-19 Clinical Research Studies (2 papers), Viral-associated cancers and disorders (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), T-cell and Retrovirus Studies (1 paper), HIV Research and Treatment (1 paper), Immunotherapy and Immune Responses (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Immunology (19 citations), Oncology (20 citations), Infectious Diseases (9 citations), Biological Psychiatry (1 citation) and Behavioral Neuroscience (1 citation). Haiting Long has collaborated with scholars based in China. Frequent co-authors include Jie Yang, Yunchao Huang, Xiaojiang Li, Jing Ma, Lijuan Zhang, Yun Chen, Baozhong Li, Lijuan Zhang, Ming Zhang and Yunchao Huang. Their work appears in journals such as Journal of Medical Virology, Archives of Virology, Viruses, Cytotechnology and Molecular and Clinical Oncology.

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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