Conchi Mora
Impact in
- Biochemistry top 2%
- Amino Acid Enzymes and Metabolism
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
Papers in
- Genetics 22
- Diabetes and associated disorders 18
- Immunology 13
- T-cell and B-cell Immunology 10
- Immune Cell Function and Interaction 10
- Co-authors
- Manuel Palacı́n (9 shared papers)Xavier Testar (9 shared papers)António Zorzano (8 shared papers)Juan J. Chillarón (5 shared papers)F. Susan Wong (3 shared papers)Richard A. Flavell (4 shared papers)Wen Li (3 shared papers)Marta Camps (3 shared papers)
- Journals
- The Journal of Immunology (5 papers)Journal of Biological Chemistry (3 papers)European Journal of Immunology (3 papers)Frontiers in Immunology (2 papers)Diabetes (2 papers)
- Partner nations
- SpainUnited StatesEcuador
In The Last Decade
Conchi Mora
33 papers receiving 875 citations
Peers
Comparison fields: 5 of 78
- Biochemistry 279
- Clinical Biochemistry 150
- Genetics 298
- Immunology 211
- Endocrinology, Diabetes and Metabolism 122
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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 143 | |
| 2 | 1993 | 90 | |
| 3 | 2002 | 71 | |
| 4 | 2000 | 62 | |
| 5 | 1999 | 61 | |
| 6 | 2004 | 53 | |
| 7 | 1996 | 51 | |
| 8 | 1996 | 45 | |
| 9 | 1992 | 32 | |
| 10 | 1993 | 31 | |
| 11 | 2018 | 28 | |
| 12 | 2002 | 25 | |
| 13 | 2023 | 22 | |
| 14 | 1996 | 20 | |
| 15 | 2004 | 18 | |
| 16 | 2014 | 18 | |
| 17 | 2004 | 13 | |
| 18 | 2011 | 12 | |
| 19 | Insulin-induced redistribution of GLUT4 glucose carriers in the muscle fiber | 1996 | 11 |
| 20 | 1996 | 10 |
About Conchi Mora
Conchi Mora is a scholar working on Genetics, Immunology, Molecular Biology, Surgery and Biochemistry, having authored 35 papers that have together received 889 indexed citations. Recurring topics across this work include Diabetes and associated disorders (18 papers), T-cell and B-cell Immunology (10 papers), Immune Cell Function and Interaction (10 papers), Metabolism, Diabetes, and Cancer (6 papers), Pancreatic function and diabetes (5 papers), Amino Acid Enzymes and Metabolism (5 papers), Adipose Tissue and Metabolism (4 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Biochemistry (279 citations), Clinical Biochemistry (150 citations), Genetics (298 citations), Immunology (211 citations) and Endocrinology, Diabetes and Metabolism (122 citations). Conchi Mora has collaborated with scholars based in Spain, United States and Ecuador. Frequent co-authors include Manuel Palacı́n, Xavier Testar, António Zorzano, Juan J. Chillarón, F. Susan Wong, Richard A. Flavell, Wen Li, Marta Camps, Cheong‐Hee Chang and E. Allison Green. Their work appears in journals such as The Journal of Immunology, Journal of Biological Chemistry, European Journal of Immunology, 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.