Jad I. Belle

2.6k total citations · 3 hit papers
16 papers, 1.3k citations indexed

About

Jad I. Belle is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Jad I. Belle has authored 16 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Immunology and 5 papers in Oncology. Recurrent topics in Jad I. Belle's work include Ubiquitin and proteasome pathways (6 papers), Epigenetics and DNA Methylation (5 papers) and Immunotherapy and Immune Responses (4 papers). Jad I. Belle is often cited by papers focused on Ubiquitin and proteasome pathways (6 papers), Epigenetics and DNA Methylation (5 papers) and Immunotherapy and Immune Responses (4 papers). Jad I. Belle collaborates with scholars based in Canada, United States and United Kingdom. Jad I. Belle's co-authors include Anastasia Nijnik, Rickvinder Besla, Eva Kaufmann, Alain Pacis, Anne Dumaine, Luis B. Barreiro, Maziar Divangahi, Joaquín Sanz, Nargis Khan and Bruce Mazer and has published in prestigious journals such as Cell, Journal of Clinical Investigation and Blood.

In The Last Decade

Jad I. Belle

16 papers receiving 1.3k citations

Hit Papers

BCG Educates Hematopoietic Stem Cells to Generate Protect... 2018 2026 2020 2023 2018 2024 2024 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jad I. Belle Canada 14 940 454 241 218 122 16 1.3k
Charlotte Viant United States 8 989 1.1× 226 0.5× 318 1.3× 180 0.8× 24 0.2× 11 1.4k
Orr-El Weizman United States 13 1.2k 1.3× 316 0.7× 68 0.3× 241 1.1× 40 0.3× 18 1.5k
Shawn M. Jensen United States 19 784 0.8× 295 0.6× 61 0.3× 882 4.0× 138 1.1× 37 1.4k
Emily S.J. Edwards Australia 15 628 0.7× 185 0.4× 282 1.2× 264 1.2× 48 0.4× 37 993
Eduard Palou Spain 18 373 0.4× 209 0.5× 197 0.8× 78 0.4× 35 0.3× 53 995
Maximillian Rosario United States 11 945 1.0× 150 0.3× 67 0.3× 541 2.5× 25 0.2× 19 1.1k
Bree Foley Australia 17 2.2k 2.4× 175 0.4× 86 0.4× 778 3.6× 14 0.1× 33 2.5k
Heinrich Schlums Sweden 16 1.7k 1.8× 138 0.3× 70 0.3× 399 1.8× 14 0.1× 24 1.8k
Maaike Nederend Netherlands 16 489 0.5× 281 0.6× 74 0.3× 229 1.1× 40 0.3× 26 880
Malika Hale United States 13 348 0.4× 488 1.1× 147 0.6× 400 1.8× 23 0.2× 21 981

Countries citing papers authored by Jad I. Belle

Since Specialization
Citations

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

Fields of papers citing papers by Jad I. Belle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jad I. Belle. 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 Jad I. Belle. The network helps show where Jad I. Belle may publish in the future.

Co-authorship network of co-authors of Jad I. Belle

This figure shows the co-authorship network connecting the top 25 collaborators of Jad I. Belle. A scholar is included among the top collaborators of Jad I. Belle 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 Jad I. Belle. Jad I. Belle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Belle, Jad I., John Baer, Xiuting Liu, et al.. (2024). Senescence Defines a Distinct Subset of Myofibroblasts That Orchestrates Immunosuppression in Pancreatic Cancer. Cancer Discovery. 14(7). 1324–1355. 56 indexed citations breakdown →
2.
Ye, Jiayu, John Baer, Douglas V. Faget, et al.. (2024). Senescent CAFs Mediate Immunosuppression and Drive Breast Cancer Progression. Cancer Discovery. 14(7). 1302–1323. 75 indexed citations breakdown →
3.
Herzog, Brett H., John Baer, Nicholas Borcherding, et al.. (2023). Tumor-associated fibrosis impairs immune surveillance and response to immune checkpoint blockade in non–small cell lung cancer. Science Translational Medicine. 15(699). eadh8005–eadh8005. 44 indexed citations
4.
Lander, Varintra E., Jad I. Belle, Natalie L. Kingston, et al.. (2022). Stromal Reprogramming by FAK Inhibition Overcomes Radiation Resistance to Allow for Immune Priming and Response to Checkpoint Blockade. Cancer Discovery. 12(12). 2774–2799. 66 indexed citations
5.
Belle, Jad I., et al.. (2021). p53-dependent induction of P2X7 on hematopoietic stem and progenitor cells regulates hematopoietic response to genotoxic stress. Cell Death and Disease. 12(10). 923–923. 13 indexed citations
6.
Lin, Yun, Jad I. Belle, Françis Robert, et al.. (2021). Loss of MYSM1 inhibits the oncogenic activity of cMYC in B cell lymphoma. Journal of Cellular and Molecular Medicine. 25(14). 7089–7094. 9 indexed citations
7.
Belle, Jad I., Jessica C. Petrov, Yun Lin, et al.. (2020). MYSM1 maintains ribosomal protein gene expression in hematopoietic stem cells to prevent hematopoietic dysfunction. JCI Insight. 5(13). 14 indexed citations
8.
Ricci, Biancamaria, Eric Tycksen, Jad I. Belle, et al.. (2020). Osterix-Cre marks distinct subsets of CD45- and CD45+ stromal populations in extra-skeletal tumors with pro-tumorigenic characteristics. eLife. 9. 16 indexed citations
9.
Kaufmann, Eva, Joaquín Sanz, Nargis Khan, et al.. (2018). BCG Educates Hematopoietic Stem Cells to Generate Protective Innate Immunity against Tuberculosis. Cell. 172(1-2). 176–190.e19. 804 indexed citations breakdown →
10.
Belle, Jad I., Jessica C. Petrov, David Langlais, et al.. (2016). Repression of p53-target gene Bbc3/PUMA by MYSM1 is essential for the survival of hematopoietic multipotent progenitors and contributes to stem cell maintenance. Cell Death and Differentiation. 23(5). 759–775. 52 indexed citations
11.
Petrov, Jessica C., Jad I. Belle, Barbara C. Mindt, et al.. (2016). MYSM1-dependent checkpoints in B cell lineage differentiation and B cell–mediated immune response. Journal of Leukocyte Biology. 101(3). 643–654. 14 indexed citations
12.
You, Linya, Lin Li, Jinfeng Zou, et al.. (2016). BRPF1 is essential for development of fetal hematopoietic stem cells. Journal of Clinical Investigation. 126(9). 3247–3262. 27 indexed citations
13.
Belle, Jad I., et al.. (2015). Deubiquitinase MYSM1 Is Essential for Normal Fetal Liver Hematopoiesis and for the Maintenance of Hematopoietic Stem Cells in Adult Bone Marrow. Stem Cells and Development. 24(16). 1865–1877. 19 indexed citations
14.
Pannu, Jaspreet, Jad I. Belle, Claudia U. Duerr, et al.. (2015). Ubiquitin Specific Protease 21 Is Dispensable for Normal Development, Hematopoiesis and Lymphocyte Differentiation. PLoS ONE. 10(2). e0117304–e0117304. 30 indexed citations
15.
Belle, Jad I., David Langlais, Jessica C. Petrov, et al.. (2015). p53 mediates loss of hematopoietic stem cell function and lymphopenia in Mysm1 deficiency. Blood. 125(15). 2344–2348. 53 indexed citations
16.
Belle, Jad I. & Anastasia Nijnik. (2014). H2A-DUBbing the mammalian epigenome: Expanding frontiers for histone H2A deubiquitinating enzymes in cell biology and physiology. The International Journal of Biochemistry & Cell Biology. 50. 161–174. 36 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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