Xiaohui Lü

4.6k citations
112 papers · 3.2k · h-index 35

Impact in

  • Genetics top 2%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Mesenchymal stem cell research
    • Lipid metabolism and biosynthesis

Papers in

Xiaohui Lü

106 papers receiving 3.2k citations

Peers

Xiaohui Lü
Comparison fields: 5 of 163
  • Genetics 526
  • Biochemistry 176
  • Hematology 214
  • Cancer Research 275
  • Molecular Biology 1.3k
Replace Rama Shanker Verma with:
Rama Shanker Verma India
Qing Luo China
Artur Paiva Portugal
Caroline A. Evans United Kingdom
Ulrich Bergmann Finland
Hitoshi Kitamura Japan
Lin Feng China
Mo Chen China
Xiaomin Zhang China
James C. Bonner United States
Xiaohui Lü relative to Rama Shanker Verma India Rama Shanker Verma's profile →
Citations per field
00.5×4.2×
Rama Shanker Verma · 1×
Citations per year

Countries citing papers authored by Xiaohui Lü

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohui Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005248
2 2008135
3 2016117
4 2007114
5 2002105
6 202195
7 201492
8 201485
9 202181
10 200675
11 201473
12 200372
13 201971
14 202158
15 202053
16 199751
17 200450
18 202150
19 201449
20 201449

About Xiaohui Lü

Xiaohui Lü is a scholar working on Molecular Biology, Biomedical Engineering, Global and Planetary Change, Cancer Research and Genetics, having authored 112 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (20 papers), Flood Risk Assessment and Management (12 papers), Biosensors and Analytical Detection (11 papers), MicroRNA in disease regulation (9 papers), Mesenchymal stem cell research (8 papers), Disaster Management and Resilience (7 papers), RNA Interference and Gene Delivery (6 papers) and Tropical and Extratropical Cyclones Research (6 papers). The work is most often cited by research in Genetics (526 citations), Biochemistry (176 citations), Hematology (214 citations), Cancer Research (275 citations) and Molecular Biology (1.3k citations). Xiaohui Lü has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Harvey F. Lodish, Ta‐Yuan Chang, Xingmei Feng, Guijuan Feng, Catherine C.Y. Chang, Chenghui Liu, Lily Huang, Dan Huang, Jing Xing and D. Gary Gilliland. Their work appears in journals such as Analytical Chemistry, Journal of Biological Chemistry, TrAC Trends in Analytical Chemistry, Development Growth & Differentiation and Biosensors and Bioelectronics.

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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