M.E. Díaz

2.8k citations
40 papers · 2.3k · h-index 24

Impact in

Papers in

M.E. Díaz

40 papers receiving 2.3k citations

Peers

M.E. Díaz
Comparison fields: 5 of 92
  • Cardiology and Cardiovascular Medicine 1.8k
  • Cellular and Molecular Neuroscience 606
  • Molecular Biology 1.7k
  • Sensory Systems 73
  • Electrochemistry 35
Replace J. Andrew Wasserstrom with:
J. Andrew Wasserstrom United States
Isabelle Baró France
Seiko Kawano Japan
Flavien Charpentier France
Paula L. Smith United States
Nicole A. Beard Australia
Brian P. Delisle United States
Randy S. Wymore United States
Blake D. Anson United States
Rosana A. Bassani Brazil
M.E. Díaz relative to J. Andrew Wasserstrom United States J. Andrew Wasserstrom's profile →
Citations per field
00.5×2.5×
J. Andrew Wasserstrom · 1×
Citations per year

Countries citing papers authored by M.E. Díaz

Since Specialization
Citations

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

Fields of papers citing papers by M.E. Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.E. Díaz. 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 M.E. Díaz. The network helps show where M.E. Díaz may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004258
2 2000239
3 1997163
4 2000135
5 2002131
6 2014126
7 1999119
8 2001104
9 1995103
10 199798
11 200084
12 200578
13 200678
14 200456
15 200441
16 200040
17 200938
18 200137
19 199837
20 200836

About M.E. Díaz

M.E. Díaz is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Physiology, having authored 40 papers that have together received 2.3k indexed citations. Recurring topics across this work include Ion channel regulation and function (29 papers), Cardiac electrophysiology and arrhythmias (25 papers), Neuroscience and Neural Engineering (10 papers), Neuroscience and Neuropharmacology Research (6 papers), Receptor Mechanisms and Signaling (4 papers), Nicotinic Acetylcholine Receptors Study (3 papers), Cardiovascular Effects of Exercise (2 papers) and Sperm and Testicular Function (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.8k citations), Cellular and Molecular Neuroscience (606 citations), Molecular Biology (1.7k citations), Sensory Systems (73 citations) and Electrochemistry (35 citations). M.E. Díaz has collaborated with scholars based in United Kingdom, United States and Venezuela. Frequent co-authors include David Eisner, Andrew W. Trafford, Stephen O’Neill, S C O’Neill, Gillian C. Sibbring, Hyun Sik Choi, Nicholas M. Negretti, Helen K. Graham, Gillian A. Gray and Luigi Venetucci. Their work appears in journals such as Circulation Research, Pflügers Archiv - European Journal of Physiology, The Journal of Physiology, Cell Calcium and Cardiovascular Research.

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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