John Laterra

14.5k total citations · 2 hit papers
214 papers, 11.3k citations indexed

About

John Laterra is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, John Laterra has authored 214 papers receiving a total of 11.3k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Molecular Biology, 51 papers in Oncology and 44 papers in Cancer Research. Recurrent topics in John Laterra's work include Liver physiology and pathology (42 papers), Glioma Diagnosis and Treatment (41 papers) and Cancer Cells and Metastasis (23 papers). John Laterra is often cited by papers focused on Liver physiology and pathology (42 papers), Glioma Diagnosis and Treatment (41 papers) and Cancer Cells and Metastasis (23 papers). John Laterra collaborates with scholars based in United States, China and Germany. John Laterra's co-authors include Bachchu Lal, Roger Abounader, Peter C.M. van Zijl, Jinyuan Zhou, Eliot M. Rosen, Shuli Xia, Lloyd A. Culp, Martin G. Pomper, Alfredo Quiñones‐Hinojosa and Yun-Qing Li and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

John Laterra

206 papers receiving 11.1k 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.

Treatment of Medulloblastoma with Hedgehog Pathway Inhibitor GDC-0449

2009 761 citations John Laterra et al. profile →
Amide proton transfer (APT) contrast for imaging of brain tumors

2003 534 citations Bachchu Lal, John Laterra et al. Magnetic Resonance in Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Laterra United States	60	5.2k	2.5k	2.1k	2.1k	1.8k	214	11.3k
Dan G. Duda United States	64	8.2k 1.6×	1.6k 0.6×	7.7k 3.6×	2.7k 1.3×	4.6k 2.5×	230	19.3k
Michal Neeman Israel	50	4.7k 0.9×	2.1k 0.8×	1.3k 0.6×	427 0.2×	2.8k 1.5×	179	11.5k
John W. Park United States	55	5.6k 1.1×	2.2k 0.9×	3.3k 1.6×	761 0.4×	1.3k 0.7×	130	11.2k
David Zagzag United States	67	7.8k 1.5×	4.2k 1.7×	3.4k 1.6×	5.9k 2.9×	5.3k 2.9×	258	19.3k
Dennis E. Hallahan United States	66	6.5k 1.3×	2.8k 1.1×	3.2k 1.5×	679 0.3×	1.9k 1.0×	267	13.3k
Adriana Haimovitz‐Friedman United States	49	7.8k 1.5×	2.0k 0.8×	2.4k 1.1×	496 0.2×	1.8k 1.0×	105	12.4k
Stevan R. Hubbard United States	52	9.6k 1.8×	921 0.4×	2.5k 1.2×	1.1k 0.5×	771 0.4×	89	14.4k
Jonathan W. Simons United States	51	9.4k 1.8×	751 0.3×	4.9k 2.3×	509 0.2×	6.1k 3.3×	116	17.9k
Juri G. Gelovani United States	59	5.1k 1.0×	2.3k 0.9×	2.3k 1.1×	736 0.4×	1.2k 0.7×	247	11.3k
Arne Östman Sweden	63	9.8k 1.9×	966 0.4×	4.6k 2.2×	840 0.4×	2.9k 1.6×	165	16.8k

Countries citing papers authored by John Laterra

Since Specialization

Citations

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

Fields of papers citing papers by John Laterra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Laterra

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

All Works

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20 of 20 papers shown

Knutsson, Linda, Nirbhay N. Yadav, David Kamson, et al.. (2025). Dynamic glucose enhanced imaging using direct water saturation. Magnetic Resonance in Medicine. 94(1). 15–27.

Luly, Kathryn M, Amanda Johnson, T. Taylor, et al.. (2025). Multipronged SMAD pathway targeting by lipophilic poly(β-amino ester) miR-590-3p nanomiRs inhibits mesenchymal glioblastoma growth and prolongs survival. Signal Transduction and Targeted Therapy. 10(1). 145–145. 2 indexed citations

Makena, Monish Ram, Paula Schiapparelli, Paola Suárez-Meade, et al.. (2022). The endosomal pH regulator NHE9 is a driver of stemness in glioblastoma. PNAS Nexus. 1(1). pgac013–pgac013. 4 indexed citations

López-Bertoni, Hernando, Amanda Johnson, Yuan Rui, et al.. (2022). Sox2 induces glioblastoma cell stemness and tumor propagation by repressing TET2 and deregulating 5hmC and 5mC DNA modifications. Signal Transduction and Targeted Therapy. 7(1). 37–37. 67 indexed citations

Zhan, Daqian, Ding Ma, Shuang Wei, et al.. (2021). Monoallelic IDH1 R132H Mutation Mediates Glioma Cell Response to Anticancer Therapies via Induction of Senescence. Molecular Cancer Research. 19(11). 1878–1888. 4 indexed citations

Fu, Yi, Weiqiang Zhou, Gege Gui, et al.. (2021). EGFR Activates a TAZ-Driven Oncogenic Program in Glioblastoma. Cancer Research. 81(13). 3580–3592. 14 indexed citations

Lal, Bachchu, Weiqiang Zhou, Yongxin Ma, et al.. (2021). Reprogramming Transcription Factors Oct4 and Sox2 Induce a BRD-Dependent Immunosuppressive Transcriptome in GBM-Propagating Cells. Cancer Research. 81(9). 2457–2469. 49 indexed citations

Zhan, Daqian, Fatih Yalçın, Ding Ma, et al.. (2021). Targeting UDP-α-d-glucose 6-dehydrogenase alters the CNS tumor immune microenvironment and inhibits glioblastoma growth. Genes & Diseases. 9(3). 717–730. 12 indexed citations

López-Bertoni, Hernando, Ivan S. Kotchetkov, Bachchu Lal, et al.. (2020). A Sox2:miR-486-5p Axis Regulates Survival of GBM Cells by Inhibiting Tumor Suppressor Networks. Cancer Research. 80(8). 1644–1655. 39 indexed citations

10.

Ma, Ding, Senquan Liu, Bachchu Lal, et al.. (2019). Extracellular Matrix Protein Tenascin C Increases Phagocytosis Mediated by CD47 Loss of Function in Glioblastoma. Cancer Research. 79(10). 2697–2708. 60 indexed citations

11.

Tilghman, Jessica, Hao Wu, Yingying Sang, et al.. (2014). HMMR Maintains the Stemness and Tumorigenicity of Glioblastoma Stem-like Cells. Cancer Research. 74(11). 3168–3179. 107 indexed citations

12.

Goodwin, C. Rory, et al.. (2010). Cyr61 Mediates Hepatocyte Growth Factor–Dependent Tumor Cell Growth, Migration, and Akt Activation. Cancer Research. 70(7). 2932–2941. 43 indexed citations

13.

Tyler, Betty, Joseph L. Mankowski, Violette Renard Recinos, et al.. (2010). FasL gene knock-down therapy enhances the antiglioma immune response. Neuro-Oncology. 12(5). 482–9. 20 indexed citations

14.

Zhang, Yimao, Youngjoo Byun, Yunzhao R. Ren, et al.. (2009). Identification of Inhibitors of ABCG2 by a Bioluminescence Imaging–Based High-Throughput Assay. Cancer Research. 69(14). 5867–5875. 34 indexed citations

15.

Pei, Zhengtong, Peng Sun, Ping Huang, et al.. (2009). Acyl-CoA Synthetase VL3 Knockdown Inhibits Human Glioma Cell Proliferation and Tumorigenicity. Cancer Research. 69(24). 9175–9182. 37 indexed citations

16.

Li, Yunqing, Fadila Guessous, Manish Kumar, et al.. (2008). PTEN Has Tumor-Promoting Properties in the Setting of Gain-of-Function p53 Mutations. Cancer Research. 68(6). 1723–1731. 79 indexed citations

17.

Yi, Joo Mi, Hsing-Chen Tsai, Sabine C. Glöckner, et al.. (2008). Abnormal DNA Methylation of CD133 in Colorectal and Glioblastoma Tumors. Cancer Research. 68(19). 8094–8103. 115 indexed citations

18.

Binning, Mandy J., Toba N. Niazi, Carolyn A. Pedone, et al.. (2008). Hepatocyte Growth Factor and Sonic Hedgehog Expression in Cerebellar Neural Progenitor Cells Costimulate Medulloblastoma Initiation and Growth. Cancer Research. 68(19). 7838–7845. 35 indexed citations

19.

Zhang, Yimao, Joseph Bressler, Bachchu Lal, et al.. (2007). ABCG2/BCRP Expression Modulates d -Luciferin–Based Bioluminescence Imaging. Cancer Research. 67(19). 9389–9397. 67 indexed citations

20.

Hossain, Mir Ahamed, et al.. (2002). Neuroprotection by scatter factor/hepatocyte growth factor and FGF‐1 in cerebellar granule neurons is phosphatidylinositol 3‐kinase/Akt‐dependent and MAPK/CREB‐independent. Journal of Neurochemistry. 81(2). 365–378. 59 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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