F. Haddad

46 papers receiving 2.5k citations

Peers

F. Haddad
Comparison fields: 5 of 112
  • Rehabilitation 566
  • Orthopedics and Sports Medicine 413
  • Cell Biology 571
  • Aging 60
  • Physiology 738
Replace Gustavo A. Nader with:
Gustavo A. Nader United States
Yoshinobu Ohira Japan
Anselmo Sigari Moriscot Brazil
Damien Freyssenet France
Emidio E. Pistilli United States
Ulrika Raue United States
Adam P. Sharples United Kingdom
Ulrik Frandsen Denmark
Elisa Calabria Italy
Bryon R. McKay Canada
F. Haddad relative to Gustavo A. Nader United States Gustavo A. Nader's profile →
Citations per field
00.5×1.5×
Gustavo A. Nader · 1×
Citations per year

Countries citing papers authored by F. Haddad

Since Specialization
Citations

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

Fields of papers citing papers by F. Haddad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004484
2 1996239
3 2007226
4 2006150
5 2008108
6 200585
7 199671
8 200769
9 200866
10 200364
11 199164
12 200953
13 200650
14 200050
15 200149
16 199949
17 199346
18 199846
19 200645
20 199345

About F. Haddad

F. Haddad is a scholar working on Molecular Biology, Physiology, Rehabilitation, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 46 papers that have together received 2.5k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (22 papers), Exercise and Physiological Responses (13 papers), Muscle metabolism and nutrition (8 papers), Adipose Tissue and Metabolism (7 papers), Cardiomyopathy and Myosin Studies (5 papers), Muscle activation and electromyography studies (4 papers), Thyroid Disorders and Treatments (4 papers) and Genetics and Physical Performance (4 papers). The work is most often cited by research in Rehabilitation (566 citations), Orthopedics and Sports Medicine (413 citations), Cell Biology (571 citations), Aging (60 citations) and Physiology (738 citations). F. Haddad has collaborated with scholars based in United States, Lebanon and Denmark. Frequent co-authors include Gregory R. Adams, K. M. Baldwin, Frank Zaldivar, Dan M. Cooper, P. W. Bodell, Michael Kjær, Jes Olesen, Katja M. Heinemeier, Peter Schjerling and A. X. Qin. Their work appears in journals such as Journal of Applied Physiology, American Journal of Physiology-Cell Physiology, Acta Anaesthesiologica Scandinavica, American Journal of Physiology-Endocrinology and Metabolism and Journal of Molecular and Cellular Cardiology.

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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