Anne Garcia

1.0k citations
8 papers · 869 indexed · h-index 7
  • Biochemistry top 0.5%
    • Lipid metabolism and biosynthesis 6
  • Physiology top 5%
  • Cell Biology top 10%
    • Plant biochemistry and biosynthesis 4
    • Glycosylation and Glycoproteins Research 1
    • Sphingolipid Metabolism and Signaling 1
    • Protein Structure and Dynamics 1
    • Lipid Membrane Structure and Behavior 1
    • Research in Cotton Cultivation 6
    • Pancreatic function and diabetes 1

Anne Garcia

8 papers receiving 860 citations

Peers

Anne Garcia
Comparison fields: 5 of 70
  • Biochemistry 684
  • Physiology 388
  • Cell Biology 121
  • Molecular Biology 459
  • Plant Science 200
Replace Charles J. Schultz with:
Charles J. Schultz United States
Johanna Ericson Sweden
Florencia Pascual United States
Tanya D. Russell United States
Suzanne Stratford United States
Clara Meana Spain
E Sugimoto Japan
Qiwei Wu Canada
Aaron Turkish United States
Anne Garcia relative to Charles J. Schultz United States Charles J. Schultz's profile →
Citations per field
00.5×1.5×2.2×
Charles J. Schultz · 1×
Citations per year

Countries citing papers authored by Anne Garcia

Since Specialization
Citations

This map shows the geographic impact of Anne Garcia'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 Anne Garcia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Garcia more than expected).

Fields of papers citing papers by Anne Garcia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne Garcia. 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 Anne Garcia. The network helps show where Anne Garcia may publish in the future.

Co-authorship network

The 16 scholars most cited alongside Anne Garcia, 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 Anne Garcia Line = papers co-authored together Anne Garcia links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2008152
2 2006204
3 2004254
4 200491
5 200441
6 200294
7 20002
8 199631

About Anne Garcia

Anne Garcia is a scholar working on Biochemistry, Plant Science and Molecular Biology, having authored 8 papers that have together received 869 indexed citations. Recurring topics across this work include Research in Cotton Cultivation (6 papers), Lipid metabolism and biosynthesis (6 papers), Plant biochemistry and biosynthesis (4 papers), Glycosylation and Glycoproteins Research (1 paper), Sphingolipid Metabolism and Signaling (1 paper), Protein Structure and Dynamics (1 paper), Lipid Membrane Structure and Behavior (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Biochemistry (684 citations), Physiology (388 citations) and Cell Biology (121 citations). Anne Garcia has collaborated with scholars based in United States and France. Frequent co-authors include Dawn Brasaemle, Vidya Subramanian, Anna Sekowski, Sucharita Bhattacharyya, Rong Wang, Alex W. Cohen, Lawrence Shapiro, Georgia Dolios, Carlos A. Gómez and Michael P. Lisanti. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and Biochemical and Biophysical Research Communications.

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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