Claudia M. Espitia
- Molecular Biology
- Epidemiology top 10%
- Oncology top 10%
- Genetics
- Cancer Research
- Co-authors
- Jennifer S. CarewSteffan T. NawrockiKevin R. KellyFrancis J. GilesDevalingam MahalingamAlain C. MitaMonica MitaWeiguo Zhao
- Topics
- Virus-based gene therapy research (7 papers)Histone Deacetylase Inhibitors Research (7 papers)Protein Degradation and Inhibitors (7 papers)
- Cited by
- PhysiologyEpidemiologyOncology
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaBlood
- Partner nations
- United StatesJapanColombia
In The Last Decade
Claudia M. Espitia
32 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 646
- Epidemiology 404
- Oncology 270
- Genetics 159
- Cancer Research 111
Countries citing papers authored by Claudia M. Espitia
This map shows the geographic impact of Claudia M. Espitia'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 Claudia M. Espitia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudia M. Espitia more than expected).
Fields of papers citing papers by Claudia M. Espitia
This network shows the impact of papers produced by Claudia M. Espitia. 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 Claudia M. Espitia. The network helps show where Claudia M. Espitia may publish in the future.
Co-authorship network of co-authors of Claudia M. Espitia
This figure shows the co-authorship network connecting the top 25 collaborators of Claudia M. Espitia. A scholar is included among the top collaborators of Claudia M. Espitia 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 Claudia M. Espitia. Claudia M. Espitia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 13 | |
| 7 | 19 | |
| 8 | 22 | |
| 9 | 54 | |
| 10 | 241 | |
| 11 | 89 | |
| 12 | 56 | |
| 13 | 48 | |
| 14 | 17 | |
| 15 | 44 | |
| 16 | 21 | |
| 17 | 61 | |
| 18 | 41 | |
| 19 | 114 | |
| 20 | Detección de Helicobacter pylori en tejido aórtico humano mediante la amplificación del gen del 16S rDNA | 1 |
About Claudia M. Espitia
Claudia M. Espitia is a scholar working on Physiology, Cell Biology and Immunology, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), Histone Deacetylase Inhibitors Research (7 papers) and Protein Degradation and Inhibitors (7 papers). The work is most often cited by research in Physiology (103 citations), Epidemiology (404 citations) and Oncology (270 citations). Claudia M. Espitia has collaborated with scholars based in United States, Japan and Colombia. Frequent co-authors include Jennifer S. Carew, Steffan T. Nawrocki, Kevin R. Kelly, Francis J. Giles, Devalingam Mahalingam, Alain C. Mita, Monica Mita, Weiguo Zhao, Steffan T. Nawrocki and Juan Esquivel. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.
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.