Guy J. Leclerc
- Endocrinology top 10%
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- Cancer, Hypoxia, and Metabolism 3
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- Metabolism, Diabetes, and Cancer 6
- Biochemical and Molecular Research 5
- Histone Deacetylase Inhibitors Research 5
- RNA Research and Splicing 3
- Hematology top 10%
- Chronic Myeloid Leukemia Treatments 4
- Physiology top 10%
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- Acute Lymphoblastic Leukemia research 9
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- Endoplasmic Reticulum Stress and Disease 4
- Co-authors
- Julio C. BarredoGilles M. LeclercJeffim N. KuznetsovJoanna DeSalvoEleanor S. MetcalfCarmen TarteraBert ElyGuilian Fu
- Partner nations
- United StatesSpainIndia
In The Last Decade
Guy J. Leclerc
27 papers receiving 789 citations
Peers
Comparison fields: 5 of 84
- Endocrinology 47
- Cancer Research 114
- Molecular Biology 518
- Hematology 78
- Physiology 29
Countries citing papers authored by Guy J. Leclerc
This map shows the geographic impact of Guy J. Leclerc'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 Guy J. Leclerc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy J. Leclerc more than expected).
Fields of papers citing papers by Guy J. Leclerc
This network shows the impact of papers produced by Guy J. Leclerc. 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 Guy J. Leclerc. The network helps show where Guy J. Leclerc may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guy J. Leclerc, 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 | 2023 | 0 | |
| 3 | 2021 | 3 | |
| 4 | 2016 | 21 | |
| 5 | 2015 | 9 | |
| 6 | 2013 | 91 | |
| 7 | 2012 | 54 | |
| 8 | 2011 | 82 | |
| 9 | 2010 | 36 | |
| 10 | 2010 | 10 | |
| 11 | 2010 | 72 | |
| 12 | 2007 | 101 | |
| 13 | 2006 | 11 | |
| 14 | 2006 | 10 | |
| 15 | 2002 | 8 | |
| 16 | 2002 | 79 | |
| 17 | Folylpoly-gamma-glutamate synthetase gene mRNA splice variants and protein expression in primary human leukemia cells, cell lines, and normal human tissues. | 2001 | 17 |
| 18 | 1996 | 3 | |
| 19 | 1992 | 13 | |
| 20 | Study of fluorescent treponemal antibody test on cerebrospinal fluid using monospecific anti-immunoglobulin conjugates IgG, IgM, and IgA. | 1978 | 14 |
About Guy J. Leclerc
Guy J. Leclerc is a scholar working on Physiology, Endocrinology, Hematology, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 28 papers that have together received 800 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (9 papers), Metabolism, Diabetes, and Cancer (6 papers), Biochemical and Molecular Research (5 papers), Histone Deacetylase Inhibitors Research (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Cancer, Hypoxia, and Metabolism (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Endocrinology (47 citations), Cancer Research (114 citations), Molecular Biology (518 citations), Hematology (78 citations) and Physiology (29 citations). Guy J. Leclerc has collaborated with scholars based in United States, Spain and India. Frequent co-authors include Julio C. Barredo, Gilles M. Leclerc, Jeffim N. Kuznetsov, Joanna DeSalvo, Eleanor S. Metcalf, Carmen Tartera, Bert Ely, Guilian Fu, Tapas K. Sengupta and Inderjit Singh. Their work appears in journals such as Leukemia Research, Blood, Molecular Cancer Research, Molecular Cancer Therapeutics and Journal of Bacteriology.
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.