John Laterra
- Genetics top 0.2%
- Glioma Diagnosis and Treatment 41
- Hepatology top 0.5%
- Liver physiology and pathology 42
- Cancer Research top 0.5%
- MicroRNA in disease regulation 15
- Biophysics top 0.2%
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- Advanced MRI Techniques and Applications 22
- MRI in cancer diagnosis 17
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- Cancer Cells and Metastasis 23
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- Epigenetics and DNA Methylation 21
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- Lanthanide and Transition Metal Complexes 17
- Co-authors
- Bachchu LalRoger AbounaderPeter C.M. van ZijlJinyuan ZhouEliot M. RosenShuli XiaLloyd A. CulpMartin G. Pomper
- Cited by
- GeneticsHepatologyCancer Research
- Journals
- Cancer Research (24 papers)Magnetic Resonance in Medicine (12 papers)Neuro-Oncology (12 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
John Laterra
206 papers receiving 11.1k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Genetics 2.1k
- Hepatology 1.4k
- Cancer Research 1.8k
- Biophysics 695
- Radiology, Nuclear Medicine and Imaging 2.5k
Countries citing papers authored by John Laterra
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
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2022 | 4 | |
| 4 | 2022 | 67 | |
| 5 | 2021 | 4 | |
| 6 | 2021 | 14 | |
| 7 | 2021 | 49 | |
| 8 | 2021 | 12 | |
| 9 | 2020 | 39 | |
| 10 | 2019 | 60 | |
| 11 | 2014 | 107 | |
| 12 | 2010 | 43 | |
| 13 | 2010 | 20 | |
| 14 | 2009 | 34 | |
| 15 | 2009 | 37 | |
| 16 | 2008 | 79 | |
| 17 | 2008 | 115 | |
| 18 | 2008 | 35 | |
| 19 | 2007 | 67 | |
| 20 | 2002 | 59 |
About John Laterra
John Laterra is a scholar working on Hepatology, Genetics, Cancer Research, Immunology and Allergy and Oncology, having authored 214 papers that have together received 11.3k indexed citations. Recurring topics across this work include Liver physiology and pathology (42 papers), Glioma Diagnosis and Treatment (41 papers), Cancer Cells and Metastasis (23 papers), Advanced MRI Techniques and Applications (22 papers), Epigenetics and DNA Methylation (21 papers), MRI in cancer diagnosis (17 papers), Lanthanide and Transition Metal Complexes (17 papers) and MicroRNA in disease regulation (15 papers). The work is most often cited by research in Genetics (2.1k citations), Hepatology (1.4k citations), Cancer Research (1.8k citations), Biophysics (695 citations) and Radiology, Nuclear Medicine and Imaging (2.5k 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.