Alfonso Mora
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
- Molecular Biology top 5%
- PI3K/AKT/mTOR signaling in cancer
- Protein Kinase Regulation and GTPase Signaling
- Metabolism, Diabetes, and Cancer
Papers in ⓘ
-
- Amino Acid Enzymes and Metabolism 4
- Epidemiology 12
- Adipokines, Inflammation, and Metabolic Diseases 7
- Liver Disease Diagnosis and Treatment 4
- Co-authors
- Dario R. Alessi (2 shared papers)David Komander (1 shared paper)Daan M. F. van Aalten (1 shared paper)Guadalupe Sabio (22 shared papers)Francisco Centeno (10 shared papers)Tamera Barrett (4 shared papers)Roger J. Davis (4 shared papers)Jason K. Kim (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Molecular Metabolism (2 papers)Cell Metabolism (1 paper)Bipolar Disorders (1 paper)Nature Communications (1 paper)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Alfonso Mora
33 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Physiology 525
- Molecular Biology 1.4k
- Epidemiology 643
- Cell Biology 284
- Biochemistry 111
Countries citing papers authored by Alfonso Mora
This map shows the geographic impact of Alfonso Mora'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 Alfonso Mora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alfonso Mora more than expected).
Fields of papers citing papers by Alfonso Mora
This network shows the impact of papers produced by Alfonso Mora. 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 Alfonso Mora. The network helps show where Alfonso Mora may publish in the future.
Co-authors
The 25 scholars most cited alongside Alfonso Mora, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PDK1, the master regulator of AGC kinase signal transduction Hit paper breakdown → | 2004 | 640 |
| 2 | 2008 | 491 | |
| 3 | 2003 | 157 | |
| 4 | 2005 | 155 | |
| 5 | 2009 | 125 | |
| 6 | 2010 | 99 | |
| 7 | 1999 | 91 | |
| 8 | 2001 | 89 | |
| 9 | 2002 | 89 | |
| 10 | 2019 | 75 | |
| 11 | 2021 | 58 | |
| 12 | 2017 | 57 | |
| 13 | 1998 | 51 | |
| 14 | 2004 | 41 | |
| 15 | 2020 | 40 | |
| 16 | 2017 | 28 | |
| 17 | 2021 | 28 | |
| 18 | 2002 | 24 | |
| 19 | 2001 | 23 | |
| 20 | 2001 | 19 |
About Alfonso Mora
Alfonso Mora is a scholar working on Biochemistry, Epidemiology, Physiology, Cell Biology and Clinical Biochemistry, having authored 34 papers that have together received 2.5k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (7 papers), Adipose Tissue and Metabolism (7 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Amino Acid Enzymes and Metabolism (4 papers), Ion channel regulation and function (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Physiology (525 citations), Molecular Biology (1.4k citations), Epidemiology (643 citations), Cell Biology (284 citations) and Biochemistry (111 citations). Alfonso Mora has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Dario R. Alessi, David Komander, Daan M. F. van Aalten, Guadalupe Sabio, Francisco Centeno, Tamera Barrett, Roger J. Davis, Jason K. Kim, Hwi Jin Ko and John Y. Jun. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Metabolism, Cell Metabolism, Bipolar Disorders and Nature Communications.
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.