Martha Carranza
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Endocrine and Autonomic Systems top 5%
- Physiology
- Genetics
- Co-authors
- Carlos ArámburoMaricela LunaCarlos G. Martínez-MorenoS. HarveyHilda Martínez‐CoriaGuadalupe Martı́nez-LorenzanaMiguel Condés‐LaraLaura C. Berumen
- Topics
- Growth Hormone and Insulin-like Growth Factors (26 papers)Retinoids in leukemia and cellular processes (7 papers)Cancer, Hypoxia, and Metabolism (6 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismEndocrine and Autonomic SystemsDevelopmental Neuroscience
- Partner nations
- MexicoCanadaUnited States
In The Last Decade
Martha Carranza
41 papers receiving 706 citations
Peers
Comparison fields: 5 of 81
- Endocrinology, Diabetes and Metabolism 354
- Molecular Biology 151
- Endocrine and Autonomic Systems 130
- Physiology 114
- Genetics 104
Countries citing papers authored by Martha Carranza
This map shows the geographic impact of Martha Carranza'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 Martha Carranza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martha Carranza more than expected).
Fields of papers citing papers by Martha Carranza
This network shows the impact of papers produced by Martha Carranza. 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 Martha Carranza. The network helps show where Martha Carranza may publish in the future.
Co-authorship network of co-authors of Martha Carranza
This figure shows the co-authorship network connecting the top 25 collaborators of Martha Carranza. A scholar is included among the top collaborators of Martha Carranza based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martha Carranza. Martha Carranza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 10 | |
| 4 | 11 | |
| 5 | 12 | |
| 6 | 13 | |
| 7 | 10 | |
| 8 | 10 | |
| 9 | 11 | |
| 10 | 36 | |
| 11 | 21 | |
| 12 | 12 | |
| 13 | 8 | |
| 14 | 34 | |
| 15 | 15 | |
| 16 | 25 | |
| 17 | 11 | |
| 18 | 20 | |
| 19 | 36 | |
| 20 | 24 |
About Martha Carranza
Martha Carranza is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Developmental Neuroscience, having authored 43 papers that have together received 719 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (26 papers), Retinoids in leukemia and cellular processes (7 papers) and Cancer, Hypoxia, and Metabolism (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (354 citations), Endocrine and Autonomic Systems (130 citations) and Developmental Neuroscience (59 citations). Martha Carranza has collaborated with scholars based in Mexico, Canada and United States. Frequent co-authors include Carlos Arámburo, Maricela Luna, Carlos G. Martínez-Moreno, S. Harvey, Hilda Martínez‐Coria, Guadalupe Martı́nez-Lorenzana, Miguel Condés‐Lara, Laura C. Berumen, Colin G. Scanes and Carlos Paz. Their work appears in journals such as Scientific Reports, Pain and International Journal of Molecular 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.