Danielle Malo
- Immunology top 0.5%
- Immune Response and Inflammation 21
- interferon and immune responses 8
- Endocrinology top 0.5%
- Escherichia coli research studies 9
- Microbiology top 1%
- Infectious Diseases top 1%
- Viral gastroenteritis research and epidemiology 14
- Nutrition and Dietetics top 1%
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- Salmonella and Campylobacter epidemiology 21
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- RNA and protein synthesis mechanisms 12
- CRISPR and Genetic Engineering 7
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- Bacterial Genetics and Biotechnology 8
- Co-authors
- Philippe GrosEmil SkameneSilvia M. VidalSalman T. QureshiLine LarivièreGary LevequePiet GrosKyle Vogan
- Cited by
- ImmunologyEndocrinologyMicrobiology
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Danielle Malo
113 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Immunology 3.1k
- Endocrinology 522
- Microbiology 452
- Infectious Diseases 1.2k
- Nutrition and Dietetics 802
Countries citing papers authored by Danielle Malo
This map shows the geographic impact of Danielle Malo'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 Danielle Malo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Malo more than expected).
Fields of papers citing papers by Danielle Malo
This network shows the impact of papers produced by Danielle Malo. 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 Danielle Malo. The network helps show where Danielle Malo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Danielle Malo, 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 | 2023 | 2 | |
| 2 | 2018 | 19 | |
| 3 | 2015 | 276 | |
| 4 | 2013 | 63 | |
| 5 | 2012 | 15 | |
| 6 | 2011 | 14 | |
| 7 | 2010 | 28 | |
| 8 | 2009 | 104 | |
| 9 | 2007 | 37 | |
| 10 | 2007 | 28 | |
| 11 | 2006 | 22 | |
| 12 | 2005 | 12 | |
| 13 | 2003 | 83 | |
| 14 | 1999 | 124 | |
| 15 | 1998 | 63 | |
| 16 | The Ity/Lsh/Bcg locus: natural resistance to infection with intracellular parasites is abrogated by disruption of the Nramp1 gene.breakdown → | 1995 | 502 |
| 17 | 1994 | 103 | |
| 18 | 1992 | 9 | |
| 19 | Genetic hypertension is characterized by the abnormal expression of a gene localized in major histocompatibility complex HSP70. | 1990 | 6 |
| 20 | Heat stress proteins in hypertension | 1986 | 2 |
About Danielle Malo
Danielle Malo is a scholar working on Endocrinology, Aging and Immunology, having authored 114 papers that have together received 7.0k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (21 papers), Immune Response and Inflammation (21 papers), Viral gastroenteritis research and epidemiology (14 papers), RNA and protein synthesis mechanisms (12 papers), Escherichia coli research studies (9 papers), interferon and immune responses (8 papers), Bacterial Genetics and Biotechnology (8 papers) and CRISPR and Genetic Engineering (7 papers). The work is most often cited by research in Immunology (3.1k citations), Endocrinology (522 citations) and Microbiology (452 citations). Danielle Malo has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Philippe Gros, Emil Skamene, Silvia M. Vidal, Salman T. Qureshi, Line Larivière, Gary Leveque, Piet Gros, Kyle Vogan, Karen J. Moore and Giovanna Sebastiani. Their work appears in journals such as Genomics, Genes and Immunity, Mammalian Genome, Infection and Immunity 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.