Oded Foreman

10.6k total citations · 4 hit papers
99 papers, 6.3k citations indexed

About

Oded Foreman is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Oded Foreman has authored 99 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 26 papers in Immunology and 22 papers in Oncology. Recurrent topics in Oded Foreman's work include Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Alzheimer's disease research and treatments (8 papers) and Immunotherapy and Immune Responses (7 papers). Oded Foreman is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Alzheimer's disease research and treatments (8 papers) and Immunotherapy and Immune Responses (7 papers). Oded Foreman collaborates with scholars based in United States, France and Singapore. Oded Foreman's co-authors include Morgan Sheng, Corey E. Bakalarski, Mike Reichelt, Zora Modrušan, Leonard D. Shultz, Baris Bingol, Joy S. Tea, Lilian Phu, Qinghua Song and Donald S. Kirkpatrick and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Oded Foreman

96 papers receiving 6.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The mitochondrial deubiquitinase USP30 opposes parkin-mediated mitophagy

2014 646 citations Baris Bingol, Joy S. Tea et al. profile →
Single-Cell RNA Sequencing Reveals Stromal Evolution into LRRC15+ Myofibroblasts as a Determinant of Patient Response to Cancer Immunotherapy

2019 522 citations Claudia X. Dominguez, Sören Müller et al. Cancer Discovery profile →
Mosaic Analysis with Double Markers Reveals Tumor Cell of Origin in Glioma

2011 501 citations Chong Liu, Michael R. Miller et al. Cell profile →
Cross-species transcriptomic atlas of dorsal root ganglia reveals species-specific programs for sensory function

2023 95 citations Min Jung, Michelle Dourado et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Oded Foreman United States	38	2.6k	1.7k	1.2k	1.1k	972	99	6.3k
Nicolas Cagnard France	35	2.3k 0.9×	3.3k 2.0×	943 0.8×	946 0.8×	892 0.9×	83	7.2k
Giovanna Borsellino Italy	49	2.4k 0.9×	4.6k 2.7×	1.3k 1.1×	652 0.6×	674 0.7×	105	8.6k
George Kassiotis United Kingdom	38	2.1k 0.8×	2.9k 1.7×	694 0.6×	885 0.8×	369 0.4×	100	6.3k
Peter L. Hordijk Netherlands	52	5.1k 2.0×	2.5k 1.5×	1.0k 0.9×	437 0.4×	1.1k 1.2×	162	10.0k
Wilfred A. Jefferies Canada	43	2.2k 0.8×	2.6k 1.5×	953 0.8×	1.0k 0.9×	981 1.0×	109	6.5k
Reiko Horai United States	44	2.3k 0.9×	3.9k 2.4×	816 0.7×	864 0.8×	540 0.6×	93	7.5k
Guang‐Xian Zhang United States	44	1.8k 0.7×	4.2k 2.5×	1.1k 1.0×	1.1k 0.9×	488 0.5×	157	7.2k
Pia Kivisäkk United States	42	1.8k 0.7×	3.5k 2.1×	1.5k 1.3×	2.1k 1.9×	522 0.5×	117	7.6k
Michael H. Sieweke France	39	3.4k 1.3×	4.9k 2.9×	1.1k 1.0×	714 0.6×	457 0.5×	62	9.0k
Abdolmohamad Rostami United States	51	1.9k 0.7×	5.5k 3.3×	1.6k 1.3×	1.3k 1.1×	531 0.5×	185	9.4k

Countries citing papers authored by Oded Foreman

Since Specialization

Citations

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

Fields of papers citing papers by Oded Foreman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oded Foreman

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ravichandran, Mirunalini, Jeff Lau, Jennifer A. Lacap, et al.. (2025). Data from RIT1<sup>M90I</sup> Is a Driver of Lung Adenocarcinoma Tumorigenesis and Resistance to Targeted Therapy. 1 indexed citations

Soung, Allison, Shristi Pandey, Yun‐An Shen, et al.. (2024). Modulation of OPC Mitochondrial Function by Inhibiting USP30 Promotes Their Differentiation. Glia. 73(4). 773–787. 1 indexed citations

Wu, Tiffany, Ming‐Chi Tsai, Mitchell G. Rezzonico, et al.. (2023). TPL2 kinase activity regulates microglial inflammatory responses and promotes neurodegeneration in tauopathy mice. eLife. 12. 5 indexed citations

Jung, Min, Michelle Dourado, James Maksymetz, et al.. (2023). Cross-species transcriptomic atlas of dorsal root ganglia reveals species-specific programs for sensory function. Nature Communications. 14(1). 366–366. 95 indexed citations breakdown →

Durinck, Steffen, Hetal Patel, Oded Foreman, et al.. (2022). Population-wide gene disruption in the murine lung epithelium via AAV-mediated delivery of CRISPR-Cas9 components. Molecular Therapy — Methods & Clinical Development. 27. 431–449. 7 indexed citations

Pribluda, Ariel, Anneleen Daemen, Xi Wang, et al.. (2022). EHMT2 methyltransferase governs cell identity in the lung and is required for KRAS G12D tumor development and propagation. eLife. 11. 2 indexed citations

Daemen, Anneleen, Matthew Wongchenko, Eva Lin, et al.. (2020). Transcriptional Subtypes Resolve Tumor Heterogeneity and Identify Vulnerabilities to MEK Inhibition in Lung Adenocarcinoma. Clinical Cancer Research. 27(4). 1162–1173. 11 indexed citations

Domínguez, Sara L., Eugene Varfolomeev, Robert P. Brendza, et al.. (2020). Genetic inactivation of RIP1 kinase does not ameliorate disease in a mouse model of ALS. Cell Death and Differentiation. 28(3). 915–931. 24 indexed citations

Dominguez, Claudia X., Sören Müller, Shilpa Keerthivasan, et al.. (2019). Single-Cell RNA Sequencing Reveals Stromal Evolution into LRRC15+ Myofibroblasts as a Determinant of Patient Response to Cancer Immunotherapy. Cancer Discovery. 10(2). 232–253. 522 indexed citations breakdown →

10.

Webster, Joshua D., Sara Francesca Santagostino, & Oded Foreman. (2019). Applications and considerations for the use of genetically engineered mouse models in drug development. Cell and Tissue Research. 380(2). 325–340. 13 indexed citations

11.

Zheng, Jing, Yonggang Sha, Oded Foreman, et al.. (2018). Pan-PIM kinase inhibitors enhance Lenalidomide's anti-myeloma activity via cereblon-IKZF1/3 cascade. Cancer Letters. 440-441. 1–10. 14 indexed citations

12.

Wong, Kit Hong, Rajkumar Noubade, Paolo Manzanillo, et al.. (2017). Mice deficient in NRROS show abnormal microglial development and neurological disorders. Nature Immunology. 18(6). 633–641. 48 indexed citations

13.

Bien‐Ly, Nga, C. Andrew Boswell, Surinder Jeet, et al.. (2015). Lack of Widespread BBB Disruption in Alzheimer’s Disease Models: Focus on Therapeutic Antibodies. Neuron. 88(2). 289–297. 150 indexed citations

14.

Zhang, Ying, Oded Foreman, Dennis A. Wigle, et al.. (2012). USP44 regulates centrosome positioning to prevent aneuploidy and suppress tumorigenesis. Journal of Clinical Investigation. 122(12). 4362–4374. 138 indexed citations

15.

Hawkins, Michelle G., et al.. (2011). T-Cell Chronic Lymphocytic Leukemia in a Double Yellow-headed Amazon Parrot (Amazona ochrocephala oratrix). Journal of Avian Medicine and Surgery. 25(4). 286–294. 12 indexed citations

16.

Liu, Chong, Michael R. Miller, Roel G.W. Verhaak, et al.. (2011). Mosaic Analysis with Double Markers Reveals Tumor Cell of Origin in Glioma. Cell. 146(2). 209–221. 501 indexed citations breakdown →

17.

Wright, Sarah, Yong Woo, Ellen C. Akeson, et al.. (2009). Complex Oncogenic Translocations with Gene Amplification Are Initiated by Specific DNA Breaks in Lymphocytes. Cancer Research. 69(10). 4454–4460. 8 indexed citations

18.

Svenson, Karen L., et al.. (2008). A new mouse mutant for the LDL receptor identified using ENU mutagenesis. Journal of Lipid Research. 49(11). 2452–2462. 13 indexed citations

19.

Kyles, Andrew E., Philippe Labelle, Bruno H. Pypendop, et al.. (2007). Adrenalectomy and Caval Thrombectomy in a Cat With Primary Hyperaldosteronism. Journal of the American Animal Hospital Association. 43(4). 209–214. 27 indexed citations

20.

Brehm, Michael A., Marie King, Bruce Gott, et al.. (2006). Development of Novel Major Histocompatibility Complex Class I and Class II-Deficient NOD-SCID IL2R Gamma Chain Knockout Mice for Modeling Human Xenogeneic Graft-Versus-Host Disease. Methods in molecular biology. 602. 105–117. 34 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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