Xiangnan Guan

2.2k citations
27 papers · 822 indexed · 2 hit papers · h-index 12
Topics
Cancer Immunotherapy and Biomarkers (8 papers)Immunotherapy and Immune Responses (4 papers)Single-cell and spatial transcriptomics (3 papers)
Partner nations
United StatesChinaFrance

In The Last Decade

Xiangnan Guan

23 papers receiving 820 citations

Hit Papers

Identifying phenotype-associated subpopulations by integr...20212026202220242021202250100150200

Peers

Xiangnan Guan
Comparison fields: 5 of 86
  • Molecular Biology 334
  • Oncology 299
  • Immunology 263
  • Pulmonary and Respiratory Medicine 170
  • Cancer Research 136
Replace Luigi Ombrato with:
Luigi Ombrato United Kingdom
Pingzhang Wang China
Michael R. Kurman United States
Qingli Bie China
Frank Wempe Germany
Wenjun Mou China
Yuanming Xu United States
Kazuhito Sakamoto United States
Verónica Rodilla Spain
Rui Min China
Xiangnan Guan relative to Luigi Ombrato United Kingdom Luigi Ombrato's profile →
Citations per field
00.5×3.4×
Luigi Ombrato · 1×
Citations per year

Countries citing papers authored by Xiangnan Guan

Since Specialization
Citations

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

Fields of papers citing papers by Xiangnan Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangnan Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangnan Guan. A scholar is included among the top collaborators of Xiangnan Guan 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 Xiangnan Guan. Xiangnan Guan 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 0
2 0
3 3
4 11
5 9
6 4
7 0
8 4
9 2
10 26
11 1
12
Androgen receptor activity in T cells limits checkpoint blockade efficacybreakdown →
233
13
Identifying phenotype-associated subpopulations by integrating bulk and single-cell sequencing databreakdown →
234
14 21
15 31
16 11
17 16
18 43
19 81
20 11

About Xiangnan Guan

Xiangnan Guan is a scholar working on Oncology, Immunology and Hematology, having authored 27 papers that have together received 822 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (8 papers), Immunotherapy and Immune Responses (4 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Immunology (263 citations), Oncology (299 citations) and Cancer Research (136 citations). Xiangnan Guan has collaborated with scholars based in United States, China and France. Frequent co-authors include Zheng Xia, Amy E. Moran, Pepper Schedin, Andrew C. Adey, Ling‐Yun Wu, Joshi J. Alumkal, Paul T. Spellman, David Z. Qian, Mu‐Shui Dai and Duanchen Sun. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

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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