Edwin García

41 papers receiving 1.3k citations

Peers

Edwin García
Comparison fields: 5 of 121
  • Endocrine and Autonomic Systems 275
  • Cardiology and Cardiovascular Medicine 380
  • Biophysics 77
  • Endocrinology, Diabetes and Metabolism 175
  • Structural Biology 14
Replace Jonathan D. Lippiat with:
Jonathan D. Lippiat United Kingdom
Michael T. Kirber United States
Michel Vivaudou France
Lene Martini United States
J. Metz Germany
Daniel Nelson United States
Ségolène Galandrin France
Ye Chen‐Izu United States
Laurence S. Jouaville France
Brian P. Ziemba United States
Edwin García relative to Jonathan D. Lippiat United Kingdom Jonathan D. Lippiat's profile →
Citations per field
00.5×4.9×
Jonathan D. Lippiat · 1×
Citations per year

Countries citing papers authored by Edwin García

Since Specialization
Citations

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

Fields of papers citing papers by Edwin García

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Edwin García, 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 Edwin García Line = papers co-authored together Edwin García links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005386
2 2009279
3 2011141
4 200352
5 200750
6 200838
7 201236
8 201132
9 202130
10 200929
11
Stress proteins in fungal diseases.
199824
12 201821
13 199920
14 200819
15 201716
16 200416
17 202315
18 200613
19 202111
20 201710

About Edwin García

Edwin García is a scholar working on Biophysics, Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems and Structural Biology, having authored 45 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (9 papers), Regulation of Appetite and Obesity (5 papers), Image Processing Techniques and Applications (3 papers), Adipose Tissue and Metabolism (3 papers), Advanced Electron Microscopy Techniques and Applications (3 papers), Fungal and yeast genetics research (3 papers), Cell Image Analysis Techniques (3 papers) and Cardiac electrophysiology and arrhythmias (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (275 citations), Cardiology and Cardiovascular Medicine (380 citations), Biophysics (77 citations), Endocrinology, Diabetes and Metabolism (175 citations) and Structural Biology (14 citations). Edwin García has collaborated with scholars based in United Kingdom, United States and Colombia. Frequent co-authors include Márta Korbonits, Ashley Grossman, Alexander R. Lyon, Siân E. Harding, Ken MacLeod, Blerina Kola, D. Grahame Hardie, Simon A. Hawley, Lynda M. Williams and Sharon E. Mitchell. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Microscopy, Journal of Hypertension, Circulation Arrhythmia and Electrophysiology and Proceedings of the National Academy of Sciences.

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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