John Alvarez
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
-
- Circadian rhythm and melatonin
Papers in
-
- Glycosylation and Glycoproteins Research 2
- Oncology 6
- Co-authors
- Amita Sehgal (5 shared papers)Dennis Y. Loh (2 shared papers)Tadashi Joh (1 shared paper)Terumi Kohwi-shigematsu (1 shared paper)Hiroyuki Niida (1 shared paper)Dag H. Yasui (1 shared paper)Dechun Chen (1 shared paper)Amanda G. Hansen (1 shared paper)
- Journals
- Cancer Research (3 papers)Journal of Clinical Oncology (2 papers)Journal of Biological Rhythms (2 papers)Journal for ImmunoTherapy of Cancer (2 papers)Blood Advances (1 paper)
- Partner nations
- United StatesBelgiumAustralia
In The Last Decade
John Alvarez
24 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 99
- Aging 128
- Endocrine and Autonomic Systems 413
- Immunology 308
- Oncology 236
- Physiology 215
Countries citing papers authored by John Alvarez
This map shows the geographic impact of John Alvarez'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 John Alvarez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Alvarez more than expected).
Fields of papers citing papers by John Alvarez
This network shows the impact of papers produced by John Alvarez. 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 John Alvarez. The network helps show where John Alvarez may publish in the future.
Co-authors
The 25 scholars most cited alongside John Alvarez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 316 | |
| 2 | 2008 | 234 | |
| 3 | 2016 | 144 | |
| 4 | 2003 | 118 | |
| 5 | 2007 | 101 | |
| 6 | 2018 | 88 | |
| 7 | 1991 | 83 | |
| 8 | 2016 | 78 | |
| 9 | 2005 | 68 | |
| 10 | 2017 | 44 | |
| 11 | 1995 | 34 | |
| 12 | 2015 | 23 | |
| 13 | 2016 | 20 | |
| 14 | 2021 | 18 | |
| 15 | 2018 | 16 | |
| 16 | 2020 | 15 | |
| 17 | 2011 | 9 | |
| 18 | 2004 | 8 | |
| 19 | 2020 | 4 | |
| 20 | 2002 | 4 |
About John Alvarez
John Alvarez is a scholar working on Molecular Biology, Oncology, Immunology, Endocrine and Autonomic Systems and Pathology and Forensic Medicine, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (5 papers), Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Aging (128 citations), Endocrine and Autonomic Systems (413 citations), Immunology (308 citations), Oncology (236 citations) and Physiology (215 citations). John Alvarez has collaborated with scholars based in United States, Belgium and Australia. Frequent co-authors include Amita Sehgal, Dennis Y. Loh, Tadashi Joh, Terumi Kohwi-shigematsu, Hiroyuki Niida, Dag H. Yasui, Dechun Chen, Amanda G. Hansen, Piotr Bębas and Jadwiga M. Giebułtowicz. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Journal of Biological Rhythms, Journal for ImmunoTherapy of Cancer and Blood Advances.
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.