Guy Jacques Leclerc

909 citations
22 papers · 756 · h-index 11

Impact in

Papers in

Guy Jacques Leclerc

22 papers receiving 745 citations

Peers

Guy Jacques Leclerc
Comparison fields: 5 of 73
  • Endocrinology 23
  • Molecular Biology 344
  • Cancer Research 64
  • Cell Biology 63
  • Genetics 89
Replace Åsa Wåhlander with:
Åsa Wåhlander Switzerland
Thomas Lind Sweden
Monique Singer France
Nieves Fernández Spain
F. Descalzi Cancedda Italy
H. Kern Germany
Jianhui Xie China
Babak Oskouian United States
Ananya Gupta Ireland
Adel Youakim United States
Guy Jacques Leclerc relative to Åsa Wåhlander Switzerland Åsa Wåhlander's profile →
Citations per field
00.5×1.5×2.0×
Åsa Wåhlander · 1×
Citations per year

Countries citing papers authored by Guy Jacques Leclerc

Since Specialization
Citations

This map shows the geographic impact of Guy Jacques 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 Jacques 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 Jacques Leclerc more than expected).

Fields of papers citing papers by Guy Jacques Leclerc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guy Jacques 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 Jacques Leclerc. The network helps show where Guy Jacques Leclerc may publish in the future.

Co-authors

The 25 scholars most cited alongside Guy Jacques Leclerc, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guy Jacques Leclerc Line = papers co-authored together Guy Jacques Leclerc links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007104
2 201394
3 201184
4 200282
5 199880
6 201074
7 201258
8 199848
9 201624
10 201621
11
Folylpoly-gamma-glutamate synthetase gene mRNA splice variants and protein expression in primary human leukemia cells, cell lines, and normal human tissues.
200117
12 200611
13 199910
14 200610
15 201010
16 201510
17 20028
18 20234
19 20213
20 20082

About Guy Jacques Leclerc

Guy Jacques Leclerc is a scholar working on Public Health, Environmental and Occupational Health, Cell Biology, Molecular Biology, Cancer Research and Hematology, having authored 22 papers that have together received 756 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (13 papers), Metabolism, Diabetes, and Cancer (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), RNA Research and Splicing (2 papers), Genomics and Chromatin Dynamics (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Endocrinology (23 citations), Molecular Biology (344 citations), Cancer Research (64 citations), Cell Biology (63 citations) and Genetics (89 citations). Guy Jacques Leclerc has collaborated with scholars based in United States, India and Spain. Frequent co-authors include Julio C. Barredo, Gilles M. Leclerc, Jeffim N. Kuznetsoff, Joanna DeSalvo, Eleanor S. Metcalf, Carmen Tartera, Guilian Fu, Bert Ely, Inderjit Singh and Tapas Kumar Sengupta. Their work appears in journals such as Leukemia Research, Blood, Molecular Cancer Research, Molecular Cancer and BMC Cancer.

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.

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