Conchi Mora
Impact in
- Biochemistry top 1%
- Amino Acid Enzymes and Metabolism
- Genetics top 10%
- Diabetes and associated disorders
Papers in
- Genetics 16
- Diabetes and associated disorders 16
-
- Amino Acid Enzymes and Metabolism 6
- Co-authors
- Manuel Palacı́n (9 shared papers)António Zorzano (9 shared papers)Xavier Testar (9 shared papers)Florence Susan Wong (3 shared papers)Richard Anthony Flavell (4 shared papers)Wen Li (3 shared papers)Marta Camps (3 shared papers)Cheong‐Hee Chang (1 shared paper)
- Journals
- The Journal of Immunology (5 papers)European Journal of Immunology (3 papers)Journal of Biological Chemistry (3 papers)Frontiers in Immunology (2 papers)Diabetes (2 papers)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Conchi Mora
33 papers receiving 923 citations
Peers
Comparison fields: 5 of 66
- Biochemistry 286
- Genetics 229
- Immunology 83
- Clinical Biochemistry 17
- Molecular Biology 158
Countries citing papers authored by Conchi Mora
This map shows the geographic impact of Conchi 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 Conchi Mora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Conchi Mora more than expected).
Fields of papers citing papers by Conchi Mora
This network shows the impact of papers produced by Conchi 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 Conchi Mora. The network helps show where Conchi Mora may publish in the future.
Co-authors
The 25 scholars most cited alongside Conchi 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 152 | |
| 2 | 1993 | 104 | |
| 3 | 2002 | 77 | |
| 4 | 2000 | 64 | |
| 5 | 1999 | 63 | |
| 6 | 2004 | 57 | |
| 7 | 1996 | 54 | |
| 8 | 1996 | 44 | |
| 9 | 1992 | 30 | |
| 10 | 1993 | 30 | |
| 11 | 2018 | 30 | |
| 12 | 2023 | 24 | |
| 13 | 2002 | 23 | |
| 14 | 1996 | 22 | |
| 15 | 2004 | 20 | |
| 16 | 2014 | 17 | |
| 17 | 2004 | 13 | |
| 18 | 2011 | 13 | |
| 19 | Insulin-induced redistribution of GLUT4 glucose carriers in the muscle fiber | 1996 | 11 |
| 20 | 1996 | 11 |
About Conchi Mora
Conchi Mora is a scholar working on Genetics, Biochemistry, Immunology, Molecular Biology and Oncology, having authored 33 papers that have together received 948 indexed citations. Recurring topics across this work include Diabetes and associated disorders (16 papers), Amino Acid Enzymes and Metabolism (6 papers), T-cell and B-cell Immunology (6 papers), Metabolism, Diabetes, and Cancer (4 papers), Pancreatic function and diabetes (3 papers), Adipose Tissue and Metabolism (2 papers), Receptor Mechanisms and Signaling (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Biochemistry (286 citations), Genetics (229 citations), Immunology (83 citations), Clinical Biochemistry (17 citations) and Molecular Biology (158 citations). Conchi Mora has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Manuel Palacı́n, António Zorzano, Xavier Testar, Florence Susan Wong, Richard Anthony Flavell, Wen Li, Marta Camps, Cheong‐Hee Chang, Raúl Estévez and Andreas E Busch. Their work appears in journals such as The Journal of Immunology, European Journal of Immunology, Journal of Biological Chemistry, Frontiers in Immunology and Diabetes.
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.