Lorena Pochini
Impact in
- Biochemistry top 0.2%
- Amino Acid Enzymes and Metabolism
- Clinical Biochemistry top 0.5%
- Metabolism and Genetic Disorders
Papers in
- Biochemistry 52
- Amino Acid Enzymes and Metabolism 52
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- Metabolism and Genetic Disorders 38
- Co-authors
- Cesare Indiveri (65 shared papers)Mariafrancesca Scalise (51 shared papers)Michele Galluccio (44 shared papers)Lara Console (23 shared papers)Francesca Oppedisano (8 shared papers)Maria Adele Losso (1 shared paper)Annamaria Tonazzi (8 shared papers)Nicola Giangregorio (7 shared papers)
In The Last Decade
Lorena Pochini
70 papers receiving 2.9k citations
Lorena Pochini's Hit Papers
Peers
Comparison fields: 5 of 117
- Biochemistry 1.1k
- Clinical Biochemistry 565
- Cancer Research 432
- Physiology 105
- Oncology 570
Countries citing papers authored by Lorena Pochini
This map shows the geographic impact of Lorena Pochini'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 Lorena Pochini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorena Pochini more than expected).
Fields of papers citing papers by Lorena Pochini
This network shows the impact of papers produced by Lorena Pochini. 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 Lorena Pochini. The network helps show where Lorena Pochini may publish in the future.
Co-authors
The 25 scholars most cited alongside Lorena Pochini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SLC38A9 is a component of the lysosomal amino acid sensing machinery that controls mTORC1 Hit paper breakdown → | 2015 | 515 |
| 2 | 2018 | 215 | |
| 3 | 2018 | 202 | |
| 4 | 2014 | 194 | |
| 5 | 2017 | 149 | |
| 6 | 2015 | 115 | |
| 7 | 2013 | 85 | |
| 8 | 2018 | 71 | |
| 9 | 2016 | 60 | |
| 10 | 2011 | 60 | |
| 11 | 2013 | 59 | |
| 12 | 2012 | 58 | |
| 13 | 2013 | 56 | |
| 14 | 2014 | 54 | |
| 15 | 2020 | 46 | |
| 16 | 2008 | 46 | |
| 17 | 2004 | 43 | |
| 18 | 2006 | 41 | |
| 19 | 2015 | 40 | |
| 20 | 2020 | 39 |
About Lorena Pochini
Lorena Pochini is a scholar working on Biochemistry, Clinical Biochemistry, Molecular Biology, Oncology and Pathology and Forensic Medicine, having authored 70 papers that have together received 2.9k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (52 papers), Metabolism and Genetic Disorders (38 papers), Drug Transport and Resistance Mechanisms (23 papers), Epigenetics and DNA Methylation (10 papers), Biomedical Research and Pathophysiology (8 papers), Mitochondrial Function and Pathology (8 papers), Neuroscience and Neuropharmacology Research (6 papers) and Pharmacological Effects and Toxicity Studies (5 papers). The work is most often cited by research in Biochemistry (1.1k citations), Clinical Biochemistry (565 citations), Cancer Research (432 citations), Physiology (105 citations) and Oncology (570 citations). Lorena Pochini has collaborated with scholars based in Italy, Sweden and Germany. Frequent co-authors include Cesare Indiveri, Mariafrancesca Scalise, Michele Galluccio, Lara Console, Francesca Oppedisano, Maria Adele Losso, Annamaria Tonazzi, Nicola Giangregorio, Kristina Hedfalk and Piero Pingitore. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Biomembranes, International Journal of Molecular Sciences, SLAS DISCOVERY, Frontiers in Cell and Developmental Biology and Frontiers in Molecular Biosciences.
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.