Haixia Long

3.0k total citations · 1 hit paper
42 papers, 1.9k citations indexed

About

Haixia Long is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Haixia Long has authored 42 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Oncology, 22 papers in Molecular Biology and 14 papers in Immunology. Recurrent topics in Haixia Long's work include Immune cells in cancer (9 papers), Cancer Cells and Metastasis (8 papers) and Cancer Immunotherapy and Biomarkers (8 papers). Haixia Long is often cited by papers focused on Immune cells in cancer (9 papers), Cancer Cells and Metastasis (8 papers) and Cancer Immunotherapy and Biomarkers (8 papers). Haixia Long collaborates with scholars based in China, United States and United Kingdom. Haixia Long's co-authors include Bo Zhu, Tong Xiang, Bo Zhu, Xiaoming Cheng, Qingzhu Jia, Zhiqing Liang, Jiani Huang, Rongkai Xie, Zhongquan Zhao and Xi Chen and has published in prestigious journals such as Nature Communications, PLoS ONE and Cancer Research.

In The Last Decade

Haixia Long

39 papers receiving 1.9k citations

Hit Papers

Heterogeneity of the tumor immune microenvironment and it... 2022 2026 2023 2024 2022 40 80 120

Peers

Haixia Long
Comparison fields: 5 of 109
  • Molecular Biology 891
  • Oncology 858
  • Immunology 740
  • Cancer Research 434
  • Pulmonary and Respiratory Medicine 187
Replace Camelia Quek with:
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Chunwan Lu United States
Tomonori Yaguchi Japan
Yanyan Han China
Jianhua Huang China
Kankana Bardhan United States
Tomer Cooks Israel
Laura S. Angelo United States
Xinhui Wang United States
Maria Giovanna Francipane Italy
Camelia Quek Australia View profile →
Citations per field, relative to Haixia Long
Haixia Long · 1×
Citations per year, relative to Haixia Long
Haixia Long · 1×

Countries citing papers authored by Haixia Long

Since Specialization
Citations

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

Fields of papers citing papers by Haixia Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haixia Long

This figure shows the co-authorship network connecting the top 25 collaborators of Haixia Long. A scholar is included among the top collaborators of Haixia Long 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 Haixia Long. Haixia Long 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
# Work Indexed citations
1 0
2 0
3 8
4 7
5 40
6 17
7 5
8
Heterogeneity of the tumor immune microenvironment and its clinical relevance breakdown →
144
9 4
10 31
11 49
12 62
13 147
14 65
15 13
16 15
17 54
18 45
19 159
20 287

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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