Nathan Mbong

1.3k total citations
10 papers, 467 citations indexed

About

Nathan Mbong is a scholar working on Molecular Biology, Hematology and Cell Biology. According to data from OpenAlex, Nathan Mbong has authored 10 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Hematology and 3 papers in Cell Biology. Recurrent topics in Nathan Mbong's work include Acute Myeloid Leukemia Research (4 papers), Phagocytosis and Immune Regulation (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Nathan Mbong is often cited by papers focused on Acute Myeloid Leukemia Research (4 papers), Phagocytosis and Immune Regulation (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Nathan Mbong collaborates with scholars based in Canada, Japan and United States. Nathan Mbong's co-authors include John E. Dick, Peter van Galen, Antonija Kreso, Erno Wienholds, Karin G. Hermans, Elisa Laurenti, Kolja Eppert, Bradly G. Wouters, Tim J. Fitzmaurice and Stefan J. Marciniak and has published in prestigious journals such as Nature, Blood and Cancer Research.

In The Last Decade

Nathan Mbong

10 papers receiving 464 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nathan Mbong Canada	8	247	159	116	102	68	10	467
Motohiro Nishimura Japan	14	319 1.3×	131 0.8×	64 0.6×	59 0.6×	29 0.4×	49	621
Daniela Bressanin Italy	15	515 2.1×	133 0.8×	80 0.7×	68 0.7×	71 1.0×	26	784
Pushpankur Ghoshal United States	15	289 1.2×	39 0.2×	79 0.7×	84 0.8×	29 0.4×	23	520
Katja Björklöf Switzerland	7	384 1.6×	53 0.3×	47 0.4×	105 1.0×	22 0.3×	12	536
Usha Gutti India	13	313 1.3×	67 0.4×	83 0.7×	79 0.8×	31 0.5×	21	638
Mengtao Xiao China	3	411 1.7×	82 0.5×	34 0.3×	36 0.4×	113 1.7×	7	573
Keli Song United States	10	336 1.4×	38 0.2×	49 0.4×	105 1.0×	37 0.5×	19	475
Paulina Podszywalow‐Bartnicka Poland	11	241 1.0×	47 0.3×	51 0.4×	35 0.3×	28 0.4×	24	351
Raquela J. Thomas United States	8	479 1.9×	54 0.3×	70 0.6×	72 0.7×	128 1.9×	10	595
Kee Nyung Lee South Korea	8	446 1.8×	59 0.4×	126 1.1×	93 0.9×	29 0.4×	10	683

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-authorship network of co-authors of Nathan Mbong

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Mbong. A scholar is included among the top collaborators of Nathan Mbong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nathan Mbong. Nathan Mbong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Boutzen, Héléna, Seyed Ali Madani Tonekaboni, Michelle Chan‐Seng‐Yue, et al.. (2022). A primary hierarchically organized patient-derived model enables in depth interrogation of stemness driven by the coding and non-coding genome. Leukemia. 36(11). 2690–2704. 7 indexed citations

Jin, Liqing, Nathan Mbong, Stanley Ng, et al.. (2019). A Novel Cereblon E3 Ligase Modulator Eradicates Acute Myeloid Leukemia Stem Cells through Degradation of Translation Termination Factor GSPT1. Blood. 134(Supplement_1). 3940–3940. 8 indexed citations

Galkin, A. Yu., Jessica McLeod, James A. Kennedy, et al.. (2019). Sirpαfc Treatment Targets Human Acute Myeloid Leukemia Stem Cells. Blood. 134(Supplement_1). 3906–3906. 2 indexed citations

Galen, Peter van, Nathan Mbong, Antonia Kreso, et al.. (2018). Integrated Stress Response Activity Marks Stem Cells in Normal Hematopoiesis and Leukemia. Cell Reports. 25(5). 1109–1117.e5. 74 indexed citations

Chen, Weihsu C., Julie S. Yuan, Yan Xing, et al.. (2016). An Integrated Analysis of Heterogeneous Drug Responses in Acute Myeloid Leukemia That Enables the Discovery of Predictive Biomarkers. Cancer Research. 76(5). 1214–1224. 15 indexed citations

Galen, Peter van, Antonija Kreso, Erno Wienholds, et al.. (2014). Reduced Lymphoid Lineage Priming Promotes Human Hematopoietic Stem Cell Expansion. Cell stem cell. 14(1). 94–106. 53 indexed citations

Galen, Peter van, Antonija Kreso, Nathan Mbong, et al.. (2014). The unfolded protein response governs integrity of the haematopoietic stem-cell pool during stress. Nature. 510(7504). 268–272. 260 indexed citations

Mbong, Nathan & Madhu B. Anand‐Srivastava. (2012). Hydrogen peroxide enhances the expression of G_iα proteins in aortic vascular smooth cells: role of growth factor receptor transactivation. American Journal of Physiology-Heart and Circulatory Physiology. 302(8). H1591–H1602. 9 indexed citations

Ata, Athar, et al.. (2009). Minor Chemical Constituents of Vitex Pinnata. Natural Product Communications. 4(1). 1–4. 37 indexed citations

10.

Chiu, Daniel T., et al.. (2007). Unheard Voices of Ethno-Racial Minority Youth: A Community-Based Research Project. 2 indexed citations

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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