Liang Xiu

1.6k total citations · 1 hit paper
21 papers, 1.0k citations indexed

About

Liang Xiu is a scholar working on Oncology, Molecular Biology and Hematology. According to data from OpenAlex, Liang Xiu has authored 21 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 10 papers in Molecular Biology and 10 papers in Hematology. Recurrent topics in Liang Xiu's work include Acute Myeloid Leukemia Research (6 papers), Virus-based gene therapy research (5 papers) and Multiple Myeloma Research and Treatments (5 papers). Liang Xiu is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), Virus-based gene therapy research (5 papers) and Multiple Myeloma Research and Treatments (5 papers). Liang Xiu collaborates with scholars based in United States, China and United Kingdom. Liang Xiu's co-authors include Sen Hong Zhuang, James W. Curtsinger, Wayne Rackoff, Zhilong Yuan, Robert Z. Orlowski, Trilok Parekh, Heather J. Sutherland, Jesús F. San Miguel, Arnon Nagler and Ivan Špıčka and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer.

In The Last Decade

Liang Xiu

21 papers receiving 972 citations

Hit Papers

Randomized Phase III Study of Pegylated Liposomal Doxorub... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers

Liang Xiu
Comparison fields: 5 of 92
  • Hematology 487
  • Molecular Biology 486
  • Oncology 478
  • Aging 103
  • Genetics 76
Replace Sylvain Thépot with:
Sylvain Thépot France
Tiffany Tate United States
Mirle Schemionek Germany
Andreas Willer Germany
Christopher King United States
Egon Lorenz United States
Michael Kirwan United Kingdom
Stuart L. Goldberg United States
Christopher B. Benton United States
Wendy D. Cook Australia
Sylvain Thépot France View profile →
Citations per field, relative to Liang Xiu
Liang Xiu · 1×
Citations per year, relative to Liang Xiu
Liang Xiu · 1×

Countries citing papers authored by Liang Xiu

Since Specialization
Citations

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

Fields of papers citing papers by Liang Xiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Xiu

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Xiu. A scholar is included among the top collaborators of Liang Xiu 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 Liang Xiu. Liang Xiu 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 1
2 25
3 2
4 12
5 21
6 23
7 9
8 2
9 2
10 32
11 8
12 28
13 35
14 1
15 4
16 40
17
Randomized Phase III Study of Pegylated Liposomal Doxorubicin Plus Bortezomib Compared With Bortezomib Alone in Relapsed or Refractory Multiple Myeloma: Combination Therapy Improves Time to Progression breakdown →
505
18 19
19 34
20 106

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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