George Mo

584 citations
19 papers · 364 · h-index 9

Impact in

  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders
    • Virus-based gene therapy research
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

George Mo

19 papers receiving 358 citations

Peers

George Mo
Comparison fields: 5 of 57
  • Genetics 73
  • Oncology 156
  • Hematology 40
  • Immunology 69
  • Cancer Research 23
Replace Arun K. Singavi with:
Arun K. Singavi United States
Wassim McHayleh United States
Jörg Faber Germany
Rajesh Belani United States
Michael Sidiropoulos United States
Fred Hardwicke United States
M. Bamberg Germany
Xiaowen Ge China
Joanna Zawitkowska Poland
George Mo relative to Arun K. Singavi United States Arun K. Singavi's profile →
Citations per field
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Arun K. Singavi · 1×
Citations per year

Countries citing papers authored by George Mo

Since Specialization
Citations

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

Fields of papers citing papers by George Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2016132
2 202160
3 202149
4 202024
5 202024
6 201916
7 202111
8 20219
9 20248
10 20236
11
National pathfinder survey of periodontal status and treatment needs in The Gambia.
20006
12 20214
13
Demographic, socio-economic and psychological determinants of HIV treatment: a community out-patient experience.
20093
14 20253
15 20212
16 20212
17 20202
18
Anaesthesia in The Gambia.
19962
19 20231

About George Mo

George Mo is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Hematology, Pediatrics, Perinatology and Child Health and Oncology, having authored 19 papers that have together received 364 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (6 papers), Iron Metabolism and Disorders (5 papers), Blood groups and transfusion (3 papers), CAR-T cell therapy research (3 papers), Prostate Cancer Treatment and Research (3 papers), Sarcoma Diagnosis and Treatment (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper) and Radiation Therapy and Dosimetry (1 paper). The work is most often cited by research in Genetics (73 citations), Oncology (156 citations), Hematology (40 citations), Immunology (69 citations) and Cancer Research (23 citations). George Mo has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include David A. Scheinberg, Aaron Y. Chang, Seah H. Lim, Dibyendu Dutta, Taha Merghoub, Qing Xiang, Sadna Budhu, Ron S. Gejman, Claire Y. Oh and Casey A. Jarvis. Their work appears in journals such as Cancer Immunology Research, British Journal of Haematology, Nature Chemical Biology, Journal for ImmunoTherapy of Cancer and Genes.

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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