M.G. Clement

922 citations
58 papers · 748 indexed · h-index 14

M.G. Clement

55 papers receiving 706 citations

Peers

M.G. Clement
Comparison fields: 5 of 114
  • Endocrine and Autonomic Systems 106
  • Dermatology 113
  • Equine 18
  • Cell Biology 167
  • Sensory Systems 42
Replace Sushil K. Sarna with:
Sushil K. Sarna United States
Michela Muscettola Italy
Ensari Güneli Türkiye
Xiangdong Zhou China
Satyanarayana Achanta United States
Yasuo Tanno Japan
Masahiko Fujisawa Japan
Iveta Grants United States
Drew V. Tortoriello United States
Hilary Faust United States
M.G. Clement relative to Sushil K. Sarna United States Sushil K. Sarna's profile →
Citations per field
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Sushil K. Sarna · 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-authorship network

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
#Work
1 20252
2 201717
3 20091
4 200820
5
Quantitative motor unit potentials analysis in healthy horses
20041
6 20041
7 20031
8 200317
9 20024
10 20012
11 199619
12 19954
13 19952
14 19944
15 199417
16 19947
17 199322
18 19924
19 19917
20
Platelet-activating factor induces pulmonary hypertension in pig: A link to TXA2 generation
19901

About M.G. Clement

M.G. Clement is a scholar working on Endocrine and Autonomic Systems, Equine and Physiology, having authored 58 papers that have together received 748 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 (106 citations), Dermatology (113 citations) and Equine (18 citations). M.G. Clement has collaborated with scholars based in Italy, Canada and United Kingdom. Frequent co-authors include M. Albertini, Robert Ballotti, J.‐P. Ortonne, Édith Aberdam, Jacopo P. Mortola, G Sant'Ambrogio, Silvia Mazzola, Monica Forni, Maria Laura Bacci and Fritz H. Bach. Their work appears in journals such as Prostaglandins Leukotrienes and Essential Fatty Acids, Veterinary Research Communications, Journal of Applied Physiology, Liver International and Molecular Genetics and Genomics.

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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