Mario R. Escobar
- Immunology top 10%
- Molecular Biology
- Epidemiology
- Endocrinology top 10%
- Microbiology top 10%
- Co-authors
- W. H. EwingAlma C. McWhorterMarvin J. AllisonHerman FriedmanHarry P. DaltonRichard J. DumaRobert L. CarithersPaul D. Swenson
- Topics
- Salmonella and Campylobacter epidemiology (2 papers)Bacteriophages and microbial interactions (2 papers)Hepatitis Viruses Studies and Epidemiology (2 papers)
- Cited by
- EndocrinologyImmunologyMicrobiology
- Partner nations
- United StatesRussia
In The Last Decade
Mario R. Escobar
31 papers receiving 456 citations
Peers
Comparison fields: 5 of 89
- Immunology 222
- Molecular Biology 127
- Epidemiology 90
- Endocrinology 63
- Microbiology 62
Countries citing papers authored by Mario R. Escobar
This map shows the geographic impact of Mario R. Escobar'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 Mario R. Escobar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario R. Escobar more than expected).
Fields of papers citing papers by Mario R. Escobar
This network shows the impact of papers produced by Mario R. Escobar. 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 Mario R. Escobar. The network helps show where Mario R. Escobar may publish in the future.
Co-authorship network of co-authors of Mario R. Escobar
This figure shows the co-authorship network connecting the top 25 collaborators of Mario R. Escobar. A scholar is included among the top collaborators of Mario R. Escobar 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 Mario R. Escobar. Mario R. Escobar 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 | 17 | |
| 3 | 5 | |
| 4 | 21 | |
| 5 | 19 | |
| 6 | 8 | |
| 7 | Macrophages and lymphocytes, nature, functions, and interaction | 12 |
| 8 | 1 | |
| 9 | Reticuloendothelial system in health and disease: functions and characteristics | 27 |
| 10 | 7 | |
| 11 | 35 | |
| 12 | 4 | |
| 13 | Laboratory Aspects of Venereal Disease | 1 |
| 14 | 42 | |
| 15 | 2 | |
| 16 | 43 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 7 | |
| 20 | The frequency of salmonella and shigella infections in the Richmond area. | 1 |
About Mario R. Escobar
Mario R. Escobar is a scholar working on Virology, Endocrinology and Infectious Diseases, having authored 33 papers that have together received 526 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (2 papers), Bacteriophages and microbial interactions (2 papers) and Hepatitis Viruses Studies and Epidemiology (2 papers). The work is most often cited by research in Endocrinology (63 citations), Immunology (222 citations) and Microbiology (62 citations). Mario R. Escobar has collaborated with scholars based in United States and Russia. Frequent co-authors include W. H. Ewing, Alma C. McWhorter, Marvin J. Allison, Herman Friedman, Harry P. Dalton, Richard J. Duma, Robert L. Carithers, Paul D. Swenson, Karen M. Sanders and Bruce H. Littman. Their work appears in journals such as Clinical Infectious Diseases, Journal of Bacteriology and The American Journal of Medicine.
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.