Robert Latek
- Genetics top 1%
- Glioma Diagnosis and Treatment 7
- Molecular Biology top 1%
- PI3K/AKT/mTOR signaling in cancer 3
- Protein Kinase Regulation and GTPase Signaling 3
- Aging top 2%
- Immunology top 2%
- Cell Biology top 1%
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- Cancer Immunotherapy and Biomarkers 11
- CAR-T cell therapy research 3
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- Brain Metastases and Treatment 4
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- Renal Transplantation Outcomes and Treatments 3
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- Tryptophan and brain disorders 3
- Co-authors
- David M. SabatiniDos D. SarbassovSiraj M. AliPaul TempstHediye Erdjument‐BromageDo‐Hyung KimJessie E. KingDavid A. Guertin
- Cited by
- GeneticsMolecular BiologyAging
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Robert Latek
29 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Genetics 889
- Molecular Biology 5.4k
- Aging 124
- Immunology 1.2k
- Cell Biology 812
Countries citing papers authored by Robert Latek
This map shows the geographic impact of Robert Latek'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 Robert Latek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Latek more than expected).
Fields of papers citing papers by Robert Latek
This network shows the impact of papers produced by Robert Latek. 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 Robert Latek. The network helps show where Robert Latek may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert Latek, 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 | 2024 | 0 | |
| 2 | 2023 | 7 | |
| 3 | 2020 | 1 | |
| 4 | 2018 | 11 | |
| 5 | 2016 | 7 | |
| 6 | 2016 | 44 | |
| 7 | 2014 | 16 | |
| 8 | 2009 | 81 | |
| 9 | Rictor, a Novel Binding Partner of mTOR, Defines a Rapamycin-Insensitive and Raptor-Independent Pathway that Regulates the Cytoskeletonbreakdown → | 2004 | 2141 |
| 10 | 2004 | 305 | |
| 11 | 2004 | 255 | |
| 12 | 2003 | 88 | |
| 13 | 2003 | 492 | |
| 14 | 2003 | 6 | |
| 15 | GβL, a Positive Regulator of the Rapamycin-Sensitive Pathway Required for the Nutrient-Sensitive Interaction between Raptor and mTORbreakdown → | 2003 | 772 |
| 16 | 2003 | 205 | |
| 17 | mTOR Interacts with Raptor to Form a Nutrient-Sensitive Complex that Signals to the Cell Growth Machinerybreakdown → | 2002 | 2398 |
| 18 | 2000 | 166 | |
| 19 | 1999 | 36 | |
| 20 | 1995 | 103 |
About Robert Latek
Robert Latek is a scholar working on Biological Psychiatry, Transplantation and Genetics, having authored 31 papers that have together received 7.6k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (11 papers), Glioma Diagnosis and Treatment (7 papers), Brain Metastases and Treatment (4 papers), Renal Transplantation Outcomes and Treatments (3 papers), CAR-T cell therapy research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Tryptophan and brain disorders (3 papers). The work is most often cited by research in Genetics (889 citations), Molecular Biology (5.4k citations) and Aging (124 citations). Robert Latek has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include David M. Sabatini, Dos D. Sarbassov, Siraj M. Ali, Paul Tempst, Hediye Erdjument‐Bromage, Do‐Hyung Kim, Jessie E. King, David A. Guertin, Mohammad Azam and George Q. Daley. Their work appears in journals such as Journal of Clinical Oncology, Neuro-Oncology, Cell, Transplantation and Proceedings of the National Academy of Sciences.
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.