M. Gabriel

1.6k citations
45 papers · 1.2k indexed · h-index 20

Impact in

Papers in

M. Gabriel

43 papers receiving 1.2k citations

Peers

M. Gabriel
Comparison fields: 5 of 109
  • Endocrine and Autonomic Systems 179
  • Molecular Biology 762
  • Pharmacy 38
  • Aging 13
  • Pulmonary and Respiratory Medicine 198
Replace Francisco Eduardo Martinez with:
Francisco Eduardo Martinez Brazil
Masahiro Nakayama Japan
John T. Gatzy United States
Beth S. Schachter United States
S Phaneuf United Kingdom
Sung Yong Eum United States
Kazuya Ikematsu Japan
J. T. Gatzy United States
Michael R. Van Scott United States
Mike Althaus Germany
M. Gabriel relative to Francisco Eduardo Martinez Brazil Francisco Eduardo Martinez's profile →
Citations per field
00.5×3.6×
Francisco Eduardo Martinez · 1×
Citations per year

Countries citing papers authored by M. Gabriel

Since Specialization
Citations

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

Fields of papers citing papers by M. Gabriel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20172
2 2013105
3 201311
4 20125
5 20125
6 201013
7 200830
8 20073
9 200366
10 200048
11 19997
12 19997
13 199940
14 1995115
15 199589
16 19867
17 19836
18 19822
19 19815
20
[Factors causing apneas in otherwise healthy newborns: a neurophysiological Concept (author's transl)].
19772

About M. Gabriel

M. Gabriel is a scholar working on Endocrine and Autonomic Systems, Pharmacy, Aging, Pediatrics, Perinatology and Child Health and Clinical Biochemistry, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (13 papers), RNA and protein synthesis mechanisms (12 papers), RNA modifications and cancer (9 papers), Neuroscience of respiration and sleep (7 papers), Fungal and yeast genetics research (7 papers), Neonatal Respiratory Health Research (5 papers), Arsenic contamination and mitigation (4 papers) and Neonatal and fetal brain pathology (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (179 citations), Molecular Biology (762 citations), Pharmacy (38 citations), Aging (13 citations) and Pulmonary and Respiratory Medicine (198 citations). M. Gabriel has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Miguel Remacha, M. Albani, Juan P. G. Ballesta, F. J. Schulte, Paul Russell, Jürg Bähler, Stephen Watt, Elena Hidalgo, Cruz Santos and José Ayté. Their work appears in journals such as European Journal of Pediatrics, PEDIATRICS, Eukaryotic Cell, Annals of Hematology and Molecular Biology of the Cell.

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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