Xiaokui Mo

9.5k citations
217 papers · 6.1k indexed · 1 hit paper · h-index 41

Impact in

Papers in

    • Chronic Lymphocytic Leukemia Research 35
    • Immune Cell Function and Interaction 22
    • Immunodeficiency and Autoimmune Disorders 10

Xiaokui Mo

207 papers receiving 6.0k citations

Hit Papers

Comprehensive toxicity and immunogenicity studies reveal minimal effects in mice following sustained dosing of extracellular vesicles derived from HEK293T cells 2017 · 447 citations
4472017202620202023100200300400

Peers

Xiaokui Mo
Comparison fields: 5 of 154
  • Cancer Research 1.2k
  • Biological Psychiatry 144
  • Genetics 603
  • Immunology 1.1k
  • Oncology 1.1k
Replace Daohong Zhou with:
Daohong Zhou United States
Jorge D. Erusalimsky United Kingdom
Christoph Bode Germany
Yongyong Shi China
Denise Hilfiker‐Kleiner Germany
Yuqing Huo United States
Yoshiko Iwamoto United States
Ichiro Manabe Japan
Fan Zhang China
Eliécer Coto Spain
Xiaokui Mo relative to Daohong Zhou United States Daohong Zhou's profile →
Citations per field
00.5×1.5×
Daohong Zhou · 1×
Citations per year

Countries citing papers authored by Xiaokui Mo

Since Specialization
Citations

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

Fields of papers citing papers by Xiaokui Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20234
3 20237
4 20212
5 20203
6 20171
7 201613
8 2016244
9 201622
10 201631
11 201666
12 201655
13 2015182
14 2015115
15 2014147
16 201318
17 201350
18 201323
19 201349
20 201226

About Xiaokui Mo

Xiaokui Mo is a scholar working on Genetics, Immunology, Cancer Research, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 217 papers that have together received 6.1k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (35 papers), Immune Cell Function and Interaction (22 papers), Monoclonal and Polyclonal Antibodies Research (16 papers), MicroRNA in disease regulation (14 papers), Lymphoma Diagnosis and Treatment (13 papers), CAR-T cell therapy research (12 papers), Ultrasound Imaging and Elastography (11 papers) and Immunodeficiency and Autoimmune Disorders (10 papers). The work is most often cited by research in Cancer Research (1.2k citations), Biological Psychiatry (144 citations), Genetics (603 citations), Immunology (1.1k citations) and Oncology (1.1k citations). Xiaokui Mo has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Natarajan Muthusamy, John C. Byrd, Kathi J. Kemper, Rami Khayat, Phillip G. Popovich, Arunark Kolipaka, Arnab Chakravarti, Jodie C.E. Hall, Thomas D. Schmittgen and Jinmai Jiang. Their work appears in journals such as Blood, The Journal of Immunology, Clinical Cancer Research, PLoS ONE and Journal of Biological Chemistry.

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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2026