Lian Mo

898 citations
17 papers · 672 · h-index 8

Impact in

    • Systemic Lupus Erythematosus Research
  • Hematology top 5%
    • Platelet Disorders and Treatments
    • Blood Coagulation and Thrombosis Mechanisms

Papers in

    • Immune Response and Inflammation 3
    • Immunotherapy and Immune Responses 3
    • T-cell and B-cell Immunology 2
    • Virus-based gene therapy research 3
    • Chronic Lymphocytic Leukemia Research 2

Lian Mo

15 papers receiving 653 citations

Peers

Lian Mo
Comparison fields: 5 of 65
  • Rheumatology 360
  • Hematology 205
  • Nephrology 122
  • Obstetrics and Gynecology 118
  • Immunology 318
Replace Paola Adele Lonati with:
Paola Adele Lonati Italy
Fanny Tabarin France
Gale A. McCarty United States
E. Stephansson Sweden
M Canova Italy
Lourdes Ortiz‐Fernández Spain
Walter L. Binder United States
María Jesús Citores Spain
Maria Spyropoulou‐Vlachou Greece
Rosana F. Marta Argentina
Lian Mo relative to Paola Adele Lonati Italy Paola Adele Lonati's profile →
Citations per field
00.5×3.2×
Paola Adele Lonati · 1×
Citations per year

Countries citing papers authored by Lian Mo

Since Specialization
Citations

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

Fields of papers citing papers by Lian Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2002457
2 200152
3 201439
4 200829
5 202128
6 202120
7 202115
8 199611
9 20016
10 19975
11 20234
12 20033
13 20171
14
[Diagnosis and treatment of 17 cases of nasal foreign body by button battery].
20151
15 20211
16 20250
17 20250

About Lian Mo

Lian Mo is a scholar working on Immunology, Genetics, Surgery, Molecular Biology and Rheumatology, having authored 17 papers that have together received 672 indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (3 papers), Virus-based gene therapy research (3 papers), Platelet Disorders and Treatments (3 papers), Immune Response and Inflammation (3 papers), Immunotherapy and Immune Responses (3 papers), Systemic Lupus Erythematosus Research (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Rheumatology (360 citations), Hematology (205 citations), Nephrology (122 citations), Obstetrics and Gynecology (118 citations) and Immunology (318 citations). Lian Mo has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Guillermina Girardi, Hector Molina, Joel M. Guthridge, Ricardo Espinola, Dailing Mao, V. Michael Holers, Silvia S. Pierangeli, Jane E. Salmon, Ken Flanagan and Virgil L. Woods. Their work appears in journals such as European Journal of Medicinal Chemistry, British Journal of Haematology, Clinical Cancer Research, The Journal of Experimental Medicine and Circulation.

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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