John Laterra

207 papers receiving 11.1k citations

John Laterra's Hit Papers

Treatment of Medulloblastoma with Hedgehog Pathway Inhibitor GDC-0449 2009 · 764 citations
7640+7+15Years since publication250500750

Peers

John Laterra
Comparison fields: 5 of 144
  • Hepatology 1.4k
  • Genetics 1.8k
  • Cancer Research 1.6k
  • Immunology and Allergy 501
  • Biophysics 494
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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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 213 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Treatment of Medulloblastoma with Hedgehog Pathway Inhibitor GDC-0449
Hit paper breakdown →
2009764
2
Amide proton transfer (APT) contrast for imaging of brain tumors
Hit paper breakdown →
2003542
3 2010428
4 2008281
5 1983249
6 2005241
7 2011218
8 2008206
9 2013186
10 2012183
11 2011156
12 2009151
13 1999150
14 2015145
15 2001145
16
Squalamine inhibits angiogenesis and solid tumor growth in vivo and perturbs embryonic vasculature.
1998143
17
Scatter factor/hepatocyte growth factor protects against cytotoxic death in human glioblastoma via phosphatidylinositol 3-kinase- and AKT-dependent pathways.
2000142
18 2000138
19 2011137
20 2018129

About John Laterra

John Laterra is a scholar working on Molecular Biology, Oncology, Hepatology, Cancer Research and Genetics, having authored 213 papers that have together received 11.4k indexed citations. Recurring topics across this work include Liver physiology and pathology (42 papers), Glioma Diagnosis and Treatment (37 papers), Cancer Cells and Metastasis (22 papers), Epigenetics and DNA Methylation (20 papers), Cell Adhesion Molecules Research (14 papers), MicroRNA in disease regulation (14 papers), Lanthanide and Transition Metal Complexes (13 papers) and Cancer, Hypoxia, and Metabolism (13 papers). The work is most often cited by research in Hepatology (1.4k citations), Genetics (1.8k citations), Cancer Research (1.6k citations), Immunology and Allergy (501 citations) and Biophysics (494 citations). John Laterra has collaborated with scholars based in United States, China and Germany. Frequent 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. Their work appears in journals such as Cancer Research, Magnetic Resonance in Medicine, Neuro-Oncology, Oncogene and Journal of Neurochemistry.

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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