Nathan Mbong

1.3k citations
10 papers · 467 · h-index 8

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research

Papers in

    • Protein Degradation and Inhibitors 1
    • Acute Myeloid Leukemia Research 4
    • Hematopoietic Stem Cell Transplantation 2

Nathan Mbong

10 papers receiving 464 citations

Peers

Nathan Mbong
Comparison fields: 5 of 74
  • Hematology 159
  • Aging 16
  • Cell Biology 116
  • Immunology 102
  • Genetics 43
Replace Daniela Bressanin with:
Daniela Bressanin Italy
Xiaozhen Xie United States
Kee Nyung Lee South Korea
Amrik Singh United States
Mengtao Xiao China
Keli Song United States
Duran Sürün Germany
Lianfeng Wu China
Marta Chevanne Italy
Mathieu Simon France
Nathan Mbong relative to Daniela Bressanin Italy Daniela Bressanin's profile →
Citations per field
00.5×2.7×
Daniela Bressanin · 1×
Citations per year

Countries citing papers authored by Nathan Mbong

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Mbong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2014260
2 201874
3 201453
4 200937
5 201615
6 20129
7 20198
8 20227
9
Unheard Voices of Ethno-Racial Minority Youth: A Community-Based Research Project
20072
10 20192

About Nathan Mbong

Nathan Mbong is a scholar working on Molecular Biology, Hematology, Cell Biology, Immunology and Oncology, having authored 10 papers that have together received 467 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Phagocytosis and Immune Regulation (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Pancreatic function and diabetes (1 paper), Cancer Genomics and Diagnostics (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Hematology (159 citations), Aging (16 citations), Cell Biology (116 citations), Immunology (102 citations) and Genetics (43 citations). Nathan Mbong has collaborated with scholars based in Canada, Japan and United States. Frequent co-authors include John E. Dick, Peter van Galen, Elisa Laurenti, Erno Wienholds, Karin G. Hermans, Kolja Eppert, Antonija Kreso, Bradly G. Wouters, Joseph E. Chambers and Anthony R. Green. Their work appears in journals such as Blood, Cancer Research, Natural Product Communications, Cell Reports and Cell stem cell.

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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