Rommel Chacón‐Salinas
- Immunology top 5%
- Molecular Biology
- Epidemiology top 10%
- Infectious Diseases top 5%
- Physiology
- Co-authors
- Iris Estrada‐GarcíaSergio Estrada‐ParraAlma Chávez‐BlancoJeanet Serafín‐LópezMarcia Campillo-NavarroStephen E. UllrichSirenia González‐PozosAlberto Yairh Limón-Flores
- Topics
- Mast cells and histamine (15 papers)Tuberculosis Research and Epidemiology (10 papers)Immune Cell Function and Interaction (10 papers)
- Partner nations
- MexicoUnited StatesUnited Kingdom
In The Last Decade
Rommel Chacón‐Salinas
59 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 100
- Immunology 732
- Molecular Biology 414
- Epidemiology 326
- Infectious Diseases 325
- Physiology 113
Countries citing papers authored by Rommel Chacón‐Salinas
This map shows the geographic impact of Rommel Chacón‐Salinas'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 Rommel Chacón‐Salinas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rommel Chacón‐Salinas more than expected).
Fields of papers citing papers by Rommel Chacón‐Salinas
This network shows the impact of papers produced by Rommel Chacón‐Salinas. 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 Rommel Chacón‐Salinas. The network helps show where Rommel Chacón‐Salinas may publish in the future.
Co-authorship network of co-authors of Rommel Chacón‐Salinas
This figure shows the co-authorship network connecting the top 25 collaborators of Rommel Chacón‐Salinas. A scholar is included among the top collaborators of Rommel Chacón‐Salinas 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 Rommel Chacón‐Salinas. Rommel Chacón‐Salinas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 10 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 8 | |
| 11 | 22 | |
| 12 | 66 | |
| 13 | 18 | |
| 14 | 21 | |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 46 | |
| 18 | 41 | |
| 19 | 28 | |
| 20 | 15 |
About Rommel Chacón‐Salinas
Rommel Chacón‐Salinas is a scholar working on Immunology, Physiology and Infectious Diseases, having authored 63 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mast cells and histamine (15 papers), Tuberculosis Research and Epidemiology (10 papers) and Immune Cell Function and Interaction (10 papers). The work is most often cited by research in Immunology (732 citations), Infectious Diseases (325 citations) and Immunology and Allergy (99 citations). Rommel Chacón‐Salinas has collaborated with scholars based in Mexico, United States and United Kingdom. Frequent co-authors include Iris Estrada‐García, Sergio Estrada‐Parra, Alma Chávez‐Blanco, Jeanet Serafín‐López, Marcia Campillo-Navarro, Stephen E. Ullrich, Sirenia González‐Pozos, Alberto Yairh Limón-Flores, Ricardo Mondragón‐Flores and Mónica Mondragón‐Castelán. Their work appears in journals such as The Journal of Immunology, Scientific Reports 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.