Jian Xu

10.2k citations
101 papers · 6.6k indexed · 3 hit papers · h-index 35

Jian Xu

98 papers receiving 6.5k citations

Hit Papers

Direct Promoter Repression by BCL11A ...3102008202620142020200400600

Peers

Jian Xu
Comparison fields: 5 of 123
  • Genetics 2.2k
  • Hematology 1.5k
  • Molecular Biology 4.5k
  • Pediatrics, Perinatology and Child Health 823
  • Cancer Research 531
Replace Stephen M. Jane with:
Stephen M. Jane Australia
Kateri Moore United States
Igor I. Slukvin United States
Brenda Williams Australia
Karl Willert United States
David Vetrie United Kingdom
Brunella Franco Italy
Vesa Kaartinen United States
Marella de Bruijn United Kingdom
Miguel Ramalho‐Santos United States
Jian Xu relative to Stephen M. Jane Australia Stephen M. Jane's profile →
Citations per field
00.5×3.4×
Stephen M. Jane · 1×
Citations per year

Countries citing papers authored by Jian Xu

Since Specialization
Citations

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

Fields of papers citing papers by Jian Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jian Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jian Xu Line = papers co-authored together Jian Xu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20237
4 202311
5 202337
6 20228
7 20226
8 202222
9 202129
10 202115
11 202126
12 202030
13 202031
14 202028
15 202065
16 2013175
17
Human Fetal Hemoglobin Expression Is Regulated by the Developmental Stage-Specific Repressor BCL11Abreakdown →
2008668
18 200620
19
Large conductance calcium activated potassium channels (BK) enhance synaptic transmission at the photoreceptor synapse
20041
20 20005

About Jian Xu

Jian Xu is a scholar working on Genetics, Hematology and Molecular Biology, having authored 101 papers that have together received 6.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (25 papers), Hemoglobinopathies and Related Disorders (22 papers), Epigenetics and DNA Methylation (19 papers), RNA modifications and cancer (13 papers), RNA Research and Splicing (10 papers), Erythrocyte Function and Pathophysiology (9 papers), CRISPR and Genetic Engineering (9 papers) and Acute Myeloid Leukemia Research (8 papers). The work is most often cited by research in Genetics (2.2k citations), Hematology (1.5k citations) and Molecular Biology (4.5k citations). Jian Xu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Stuart H. Orkin, Vijay G. Sankaran, Zhen Shao, Guo‐Cheng Yuan, Yuannyu Zhang, Yuko Fujiwara, Tobias Menne, Xin Liu, Daniel E. Bauer and Guillaume Lettre. Their work appears in journals such as Nature, Science and New England Journal of Medicine.

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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