Angela Mo

1.1k citations
8 papers · 121 · h-index 5

Impact in

    • Acute Myeloid Leukemia Research
    • Autoimmune and Inflammatory Disorders Research
    • Multiple Myeloma Research and Treatments

Papers in

    • Acute Myeloid Leukemia Research 3
    • Multiple Myeloma Research and Treatments 2
    • Inflammatory Bowel Disease 2

Angela Mo

8 papers receiving 119 citations

Peers

Angela Mo
Comparison fields: 5 of 32
  • Hematology 40
  • Immunology 26
  • Genetics 28
  • Cancer Research 13
  • Molecular Biology 51
Replace Joanna Madzio with:
Joanna Madzio Poland
Marissa Rashkovan Germany
Guillaume Hypolite France
Jonas Mattisson Sweden
Maria Grazia D’Errigo Italy
Gunilla Walldin Sweden
Claudia Morganti United States
Maximilian Witzel Germany
Lai-Ping Wong United States
Elmutaz Shaikho Elhaj Mohammed United States
Angela Mo relative to Joanna Madzio Poland Joanna Madzio's profile →
Citations per field
00.5×1.5×1.8×
Joanna Madzio · 1×
Citations per year

Countries citing papers authored by Angela Mo

Since Specialization
Citations

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

Fields of papers citing papers by Angela Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 201836
2 202032
3 202219
4 202417
5 202010
6 20194
7 20242
8 20221

About Angela Mo

Angela Mo is a scholar working on Hematology, Genetics, Infectious Diseases, Molecular Biology and Physiology, having authored 8 papers that have together received 121 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Inflammatory Bowel Disease (2 papers), Multiple Myeloma Research and Treatments (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Helicobacter pylori-related gastroenterology studies (1 paper), Protein Degradation and Inhibitors (1 paper), HIV/AIDS drug development and treatment (1 paper) and Eosinophilic Esophagitis (1 paper). The work is most often cited by research in Hematology (40 citations), Immunology (26 citations), Genetics (28 citations), Cancer Research (13 citations) and Molecular Biology (51 citations). Angela Mo has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Dalia Arafat, Greg C. Gibson, Sampath Prahalad, Lori A. Ponder, Jarod Prince, Urko M. Marigorta, Subra Kugathasan, Jenny Li, Megan Fuller and Eva Hellström‐Lindberg. Their work appears in journals such as Inflammatory Bowel Diseases, Genome Medicine, Blood, Nature Cell Biology and Cellular and Molecular Gastroenterology and Hepatology.

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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