M.G. Clement

936 citations
58 papers · 757 · h-index 15

Impact in

Papers in

M.G. Clement

55 papers receiving 717 citations

Peers

M.G. Clement
Comparison fields: 5 of 111
  • Endocrine and Autonomic Systems 98
  • Dermatology 99
  • Equine 18
  • Cell Biology 154
  • Sensory Systems 38
Replace M. Boulanger with:
M. Boulanger United States
Jolanta Majka Poland
Michela Muscettola Italy
Ensari Güneli Türkiye
Gillian L. Fell United States
Yasuo Tanno Japan
Drew V. Tortoriello United States
Jiann‐Jou Yang Taiwan
Jong Han Lee South Korea
L. Thibault Canada
M.G. Clement relative to M. Boulanger United States M. Boulanger's profile →
Citations per field
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M. Boulanger · 1×
Citations per year

Countries citing papers authored by M.G. Clement

Since Specialization
Citations

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

Fields of papers citing papers by M.G. Clement

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997246
2 200579
3 197554
4 198322
5 199322
6 200820
7 198619
8 199619
9 201717
10 199417
11 199617
12 200317
13 202015
14 202215
15 202315
16 200113
17 198712
18 19819
19 19989
20 19808

About M.G. Clement

M.G. Clement is a scholar working on Physiology, Pulmonary and Respiratory Medicine, Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 58 papers that have together received 757 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (21 papers), Neuroscience of respiration and sleep (17 papers), Heart Rate Variability and Autonomic Control (9 papers), Pulmonary Hypertension Research and Treatments (9 papers), Respiratory Support and Mechanisms (8 papers), Pharmacological Effects and Assays (6 papers), Asthma and respiratory diseases (5 papers) and Eicosanoids and Hypertension Pharmacology (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (98 citations), Dermatology (99 citations), Equine (18 citations), Cell Biology (154 citations) and Sensory Systems (38 citations). M.G. Clement has collaborated with scholars based in Italy, Canada and Switzerland. Frequent co-authors include M. Albertini, J.‐P. Ortonne, Édith Aberdam, Robert Ballotti, Jacopo P. Mortola, G Sant'Ambrogio, Silvia Mazzola, Maria Laura Bacci, Monica Forni and Fabio Gentilini. Their work appears in journals such as Prostaglandins Leukotrienes and Essential Fatty Acids, Veterinary Research Communications, Journal of Applied Physiology, The FASEB Journal and The Anatomical Record.

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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