Tamara Leclercq
Impact in
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
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- Sphingolipid Metabolism and Signaling
- Lipid Membrane Structure and Behavior
- Protein Kinase Regulation and GTPase Signaling
Papers in
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- Chronic Myeloid Leukemia Treatments 8
- Acute Myeloid Leukemia Research 2
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- Sphingolipid Metabolism and Signaling 6
- Lipid Membrane Structure and Behavior 5
- Protein Kinase Regulation and GTPase Signaling 2
- Co-authors
- Stuart M. Pitson (6 shared papers)Paul A.B. Moretti (3 shared papers)Mathew A. Vadas (2 shared papers)Julia R. Zebol (2 shared papers)Pu Xia (1 shared paper)Binks W. Wattenberg (1 shared paper)Evgeny Berdyshev (2 shared papers)Nigel J. Pyne (2 shared papers)
- Journals
- Blood (4 papers)Journal of Biological Chemistry (2 papers)IUBMB Life (1 paper)The International Journal of Biochemistry & Cell Biology (1 paper)Oncotarget (1 paper)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Tamara Leclercq
14 papers receiving 558 citations
Peers
Comparison fields: 5 of 65
- Cell Biology 265
- Molecular Biology 492
- Hematology 50
- Physiology 19
- Immunology 55
Countries citing papers authored by Tamara Leclercq
This map shows the geographic impact of Tamara Leclercq'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 Tamara Leclercq with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamara Leclercq more than expected).
Fields of papers citing papers by Tamara Leclercq
This network shows the impact of papers produced by Tamara Leclercq. 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 Tamara Leclercq. The network helps show where Tamara Leclercq may publish in the future.
Co-authors
The 25 scholars most cited alongside Tamara Leclercq, 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 | 2004 | 230 | |
| 2 | 2010 | 103 | |
| 3 | 2016 | 51 | |
| 4 | 2006 | 49 | |
| 5 | 2008 | 45 | |
| 6 | 2012 | 34 | |
| 7 | 2019 | 23 | |
| 8 | 2017 | 11 | |
| 9 | 2017 | 6 | |
| 10 | 2021 | 3 | |
| 11 | 2016 | 3 | |
| 12 | 2015 | 2 | |
| 13 | 2015 | 1 | |
| 14 | 2014 | 1 |
About Tamara Leclercq
Tamara Leclercq is a scholar working on Hematology, Molecular Biology, Genetics, Cell Biology and Organic Chemistry, having authored 14 papers that have together received 562 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (8 papers), Sphingolipid Metabolism and Signaling (6 papers), Lipid Membrane Structure and Behavior (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), Cellular transport and secretion (4 papers), Acute Myeloid Leukemia Research (2 papers), Acute Lymphoblastic Leukemia research (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Cell Biology (265 citations), Molecular Biology (492 citations), Hematology (50 citations), Physiology (19 citations) and Immunology (55 citations). Tamara Leclercq has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Stuart M. Pitson, Paul A.B. Moretti, Mathew A. Vadas, Julia R. Zebol, Pu Xia, Binks W. Wattenberg, Evgeny Berdyshev, Nigel J. Pyne, Susan Pyne and Francesca Tonelli. Their work appears in journals such as Blood, Journal of Biological Chemistry, IUBMB Life, The International Journal of Biochemistry & Cell Biology and Oncotarget.
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.