Hong Xiao

2.2k citations
51 papers · 1.4k indexed · h-index 15
Topics
Glycosylation and Glycoproteins Research (4 papers)Multiple Myeloma Research and Treatments (4 papers)Economic and Financial Impacts of Cancer (4 papers)
Journals
NatureJournal of Clinical OncologySHILAP Revista de lepidopterología

In The Last Decade

Hong Xiao

42 papers receiving 1.4k citations

Peers

Hong Xiao
Comparison fields: 5 of 97
  • Molecular Biology 615
  • Oncology 575
  • Hematology 370
  • Electrical and Electronic Engineering 171
  • Surgery 163
Replace Serge Guyétant with:
Serge Guyétant France
Alessandra Tosolini United States
Jean Bastié France
András Khoór United States
Ann M. Dvorak United States
Robert J. Marder United States
Jeong Hee Cho‐Vega United States
Richard S. Lemons United States
Jerry Marsden United Kingdom
Mariana Brait United States
Hong Xiao relative to Serge Guyétant France Serge Guyétant's profile →
Citations per field
00.5×3.8×
Serge Guyétant · 1×
Citations per year

Countries citing papers authored by Hong Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Hong Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Xiao. A scholar is included among the top collaborators of Hong Xiao 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 Hong Xiao. Hong Xiao 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 0
4 16
5 10
6 4
7 16
8 0
9 3
10 234
11 5
12 8
13 3
14 0
15
Cloning of Spy1,a Novel Homolog of afsk Gene
1
16 102
17 118
18 14
19 235
20 187

About Hong Xiao

Hong Xiao is a scholar working on Hematology, Oncology and Cancer Research, having authored 51 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (4 papers), Multiple Myeloma Research and Treatments (4 papers) and Economic and Financial Impacts of Cancer (4 papers). The work is most often cited by research in Hematology (370 citations), Oncology (575 citations) and Immunology and Allergy (72 citations). Hong Xiao has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Joshua Epstein, A.R. Ferré-D′Amaré, Ryan J. A. Chang, J Woodliff, Hironobu Hata, I. V. Grigorieva, Joshua S. Hardin, Bart Barlogie, Thomas E. Edwards and R. D. Sanderson. Their work appears in journals such as Nature, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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