Sue D. Xiang

2.4k citations
44 papers · 1.8k indexed · h-index 21
Topics
Immunotherapy and Immune Responses (27 papers)RNA Interference and Gene Delivery (10 papers)vaccines and immunoinformatics approaches (7 papers)
Partner nations
AustraliaChinaCanada

In The Last Decade

Sue D. Xiang

43 papers receiving 1.8k citations

Peers

Sue D. Xiang
Comparison fields: 5 of 108
  • Immunology 1.0k
  • Molecular Biology 802
  • Biomedical Engineering 197
  • Pharmaceutical Science 193
  • Epidemiology 187
Replace Vania Manolova with:
Vania Manolova Switzerland
Stacey L. Demento United States
Peter M. Moyle Australia
Padma Malyala United States
Gabriela Minigo Australia
Laura J. Peek United States
Anna Flace Switzerland
Patricia L. Mottram Australia
Vincent W. Bramwell United Kingdom
Fiona A. Sharp United States
Sue D. Xiang relative to Vania Manolova Switzerland Vania Manolova's profile →
Citations per field
00.5×1.6×
Vania Manolova · 1×
Citations per year

Countries citing papers authored by Sue D. Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Sue D. Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sue D. Xiang. 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 Sue D. Xiang. The network helps show where Sue D. Xiang may publish in the future.

Co-authorship network of co-authors of Sue D. Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of Sue D. Xiang. A scholar is included among the top collaborators of Sue D. Xiang 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 Sue D. Xiang. Sue D. Xiang 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 22
3 28
4 19
5 13
6 7
7 78
8 16
9 8
10 59
11 19
12 34
13 34
14 36
15 58
16 16
17 41
18 20
19 478
20 12

About Sue D. Xiang

Sue D. Xiang is a scholar working on Immunology, Structural Biology and Virology, having authored 44 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (27 papers), RNA Interference and Gene Delivery (10 papers) and vaccines and immunoinformatics approaches (7 papers). The work is most often cited by research in Immunology (1.0k citations), Pharmaceutical Science (193 citations) and Microbiology (111 citations). Sue D. Xiang has collaborated with scholars based in Australia, China and Canada. Frequent co-authors include Magdalena Plebanski, Patricia L. Mottram, Vasso Apostolopoulos, Gabriela Minigo, Anja Scholzen, Cassandra T. David, David Tai Leong, Kirsty Wilson, Blessing Crimeen‐Irwin and Cordelia Selomulya. Their work appears in journals such as The Journal of Immunology, Scientific Reports and ACS Applied Materials & Interfaces.

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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