Mario I. Vega
- Cancer Research top 5%
- NF-κB Signaling Pathways 14
- Cancer, Hypoxia, and Metabolism 7
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- Lymphoma Diagnosis and Treatment 12
- Immunology top 5%
- interferon and immune responses 9
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 9
- Oncology top 5%
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- Cell death mechanisms and regulation 16
- Kruppel-like factors research 10
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- Multiple Myeloma Research and Treatments 6
- Co-authors
- Benjamin BonavidaSara Huerta‐YépezAli R. JazirehiHermes GarbánStavroula BaritakiDevasis ChatterjeeRogélio Hernández‐PandoLee Goodglick
- Journals
- Journal of Biological Chemistry (1 paper)Blood (20 papers)The Journal of Immunology (1 paper)
- Partner nations
- United StatesMexicoJapan
In The Last Decade
Mario I. Vega
81 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 116
- Cancer Research 427
- Pathology and Forensic Medicine 492
- Immunology 459
- Genetics 226
- Oncology 510
Countries citing papers authored by Mario I. Vega
This map shows the geographic impact of Mario I. Vega'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 I. Vega with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario I. Vega more than expected).
Fields of papers citing papers by Mario I. Vega
This network shows the impact of papers produced by Mario I. Vega. 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 I. Vega. The network helps show where Mario I. Vega may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mario I. Vega, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2022 | 5 | |
| 3 | 2019 | 8 | |
| 4 | 2017 | 10 | |
| 5 | 2016 | 1 | |
| 6 | The Vital Role of the Laity in Revitalization: A Case Study of Misión Cristiana Elim | 2014 | 1 |
| 7 | 2014 | 15 | |
| 8 | 2014 | 22 | |
| 9 | 2013 | 8 | |
| 10 | 2013 | 20 | |
| 11 | 2011 | 30 | |
| 12 | 2011 | 84 | |
| 13 | 2011 | 17 | |
| 14 | 2011 | 26 | |
| 15 | 2009 | 47 | |
| 16 | 2008 | 109 | |
| 17 | New Targets identified for therapeutic intervention in the reversal of rituximab and drug resistant AIDS-B-NHL. | 2006 | 2 |
| 18 | 2005 | 91 | |
| 19 | 2005 | 8 | |
| 20 | 2004 | 116 |
About Mario I. Vega
Mario I. Vega is a scholar working on Cancer Research, Hematology and Oncology, having authored 84 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (16 papers), NF-κB Signaling Pathways (14 papers), Lymphoma Diagnosis and Treatment (12 papers), Kruppel-like factors research (10 papers), interferon and immune responses (9 papers), Chronic Lymphocytic Leukemia Research (9 papers), Cancer, Hypoxia, and Metabolism (7 papers) and Multiple Myeloma Research and Treatments (6 papers). The work is most often cited by research in Cancer Research (427 citations), Pathology and Forensic Medicine (492 citations) and Immunology (459 citations). Mario I. Vega has collaborated with scholars based in United States, Mexico and Japan. Frequent co-authors include Benjamin Bonavida, Sara Huerta‐Yépez, Ali R. Jazirehi, Hermes Garbán, Stavroula Baritaki, Devasis Chatterjee, Rogélio Hernández‐Pando, Lee Goodglick, Guillermina Baay-Guzmán and Fumiya Hongo. Their work appears in journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.
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.