Máximo Croci
Impact in
- Immunology top 10%
- Mast cells and histamine
- Psychiatry and Mental health top 10%
- Cancer, Stress, Anesthesia, and Immune Response
Papers in
-
- Metabolism, Diabetes, and Cancer 5
- Polyamine Metabolism and Applications 5
- Immunology 10
- Mast cells and histamine 9
- Co-authors
- R. Bergoc (26 shared papers)Vanina A. Medina (19 shared papers)Elena Rivera (20 shared papers)G. Cricco (16 shared papers)G. Martín (15 shared papers)Mariel Núñez (10 shared papers)Ernesto Crescenti (9 shared papers)N Massari (5 shared papers)
In The Last Decade
Máximo Croci
30 papers receiving 632 citations
Peers
Comparison fields: 5 of 84
- Immunology 262
- Psychiatry and Mental health 76
- Cancer Research 69
- Biotechnology 39
- Molecular Biology 294
Countries citing papers authored by Máximo Croci
This map shows the geographic impact of Máximo Croci'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 Máximo Croci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Máximo Croci more than expected).
Fields of papers citing papers by Máximo Croci
This network shows the impact of papers produced by Máximo Croci. 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 Máximo Croci. The network helps show where Máximo Croci may publish in the future.
Co-authors
The 25 scholars most cited alongside Máximo Croci, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 96 | |
| 2 | 2013 | 58 | |
| 3 | 2010 | 48 | |
| 4 | 2008 | 44 | |
| 5 | 2013 | 42 | |
| 6 | 2005 | 38 | |
| 7 | 2010 | 33 | |
| 8 | 2007 | 30 | |
| 9 | 2011 | 26 | |
| 10 | Histamine inhibits cell proliferation and modulates the expression of Bcl-2 family proteins via the H2 receptor in human pancreatic cancer cells. | 2007 | 22 |
| 11 | 2012 | 21 | |
| 12 | 2007 | 19 | |
| 13 | 1998 | 19 | |
| 14 | 2010 | 18 | |
| 15 | 2012 | 16 | |
| 16 | 2002 | 13 | |
| 17 | 2001 | 12 | |
| 18 | 2009 | 12 | |
| 19 | 2003 | 9 | |
| 20 | 1996 | 9 |
About Máximo Croci
Máximo Croci is a scholar working on Molecular Biology, Immunology, Genetics, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 30 papers that have together received 638 indexed citations. Recurring topics across this work include Mast cells and histamine (9 papers), Metabolism, Diabetes, and Cancer (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Polyamine Metabolism and Applications (5 papers), Estrogen and related hormone effects (4 papers), Amino Acid Enzymes and Metabolism (3 papers), Effects of Radiation Exposure (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Immunology (262 citations), Psychiatry and Mental health (76 citations), Cancer Research (69 citations), Biotechnology (39 citations) and Molecular Biology (294 citations). Máximo Croci has collaborated with scholars based in Argentina, Italy and Hungary. Frequent co-authors include R. Bergoc, Vanina A. Medina, Elena Rivera, G. Cricco, G. Martín, Mariel Núñez, Ernesto Crescenti, N Massari, Nora A. Mohamad and Claudia Cocca. Their work appears in journals such as Inflammation Research, International Journal of Radiation Biology, Journal of Radiation Research, BMC Pharmacology and Toxicology and Cancer Biology & Therapy.
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.