Xiuju Li

2.0k citations
65 papers · 1.4k indexed · 1 hit paper · h-index 22

Xiuju Li

60 papers receiving 1.4k citations

Hit Papers

CRISPR/Cas9-Engineered Universal CD19/CD22 Dual-Targeted ...202202120262022202450100150200

Peers

Xiuju Li
Comparison fields: 5 of 135
  • Molecular Biology 925
  • Oncology 215
  • Cardiology and Cardiovascular Medicine 148
  • Physiology 29
  • Cellular and Molecular Neuroscience 100
Replace Jürgen Reinhardt with:
Jürgen Reinhardt Germany
Yuji Imai Japan
Lie Chen China
Z. Shadi Farhangrazi United States
Драга Тончева Bulgaria
Matt Jones United Kingdom
Santosh Kumar India
Florence Appaix France
Nathan A. Yates United States
Kotaro Kaneko Japan
Xiuju Li relative to Jürgen Reinhardt Germany Jürgen Reinhardt's profile →
Citations per field
00.5×3.6×
Jürgen Reinhardt · 1×
Citations per year

Countries citing papers authored by Xiuju Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiuju Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Xiuju Li, 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 Xiuju Li Line = papers co-authored together Xiuju Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202238
2 20224
3
CRISPR/Cas9-Engineered Universal CD19/CD22 Dual-Targeted CAR-T Cell Therapy for Relapsed/Refractory B-cell Acute Lymphoblastic Leukemiabreakdown →
2021202
4 20212
5 20169
6 20167
7 201521
8 20159
9 201552
10
Preliminary Investigation in Wild Starch Plant Resources of Guizhou Province
20131
11
An evaluation of urban citizens' awareness of climate change in three capital cities in Northeast China
20130
12 201321
13 201224
14 20112
15
Effect of NaCl stress on germination and seedling's physiology of maize.
20091
16 200916
17 200910
18 200834
19 200244
20 2002173

About Xiuju Li

Xiuju Li is a scholar working on Molecular Biology, Developmental Neuroscience and Physiology, having authored 65 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (26 papers), Ion channel regulation and function (20 papers), Cardiac electrophysiology and arrhythmias (6 papers), Plant Stress Responses and Tolerance (6 papers), Pancreatic function and diabetes (6 papers), Receptor Mechanisms and Signaling (5 papers), Photoreceptor and optogenetics research (4 papers) and Enzyme function and inhibition (4 papers). The work is most often cited by research in Molecular Biology (925 citations), Oncology (215 citations) and Cardiology and Cardiovascular Medicine (148 citations). Xiuju Li has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Larry Fliegel, Joseph R. Casey, Bernardo V. Álvarez, Yongsheng Liu, Reinhart A.F. Reithmeier, Brian D. Sykes, Yongsheng Liu, Jan K. Rainey, Qifeng Fu and Yongsheng Liu. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

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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