Fadia Haddad

94 papers receiving 3.6k citations

Peers

Fadia Haddad
Comparison fields: 5 of 126
  • Rehabilitation 520
  • Cell Biology 674
  • Physiology 926
  • Orthopedics and Sports Medicine 302
  • Molecular Biology 2.0k
Replace F. Haddad with:
F. Haddad United States
Kenneth M. Baldwin United States
Heikki Kainulainen Finland
Julien Ochala United Kingdom
Yoshinobu Ohira Japan
Susan C. Kandarian United States
Anselmo Sigari Moriscot Brazil
Robert J. Talmadge United States
Ugo Carraro Italy
K. M. Baldwin United States
Fadia Haddad relative to F. Haddad United States F. Haddad's profile →
Citations per field
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Citations per year

Countries citing papers authored by Fadia Haddad

Since Specialization
Citations

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

Fields of papers citing papers by Fadia Haddad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001260
2 1999181
3 2002155
4 2005149
5 2003145
6 2002135
7 2005127
8 2013126
9 2002109
10 200497
11 200695
12 200493
13 200791
14 200389
15 200285
16 200981
17 201481
18 201375
19 200372
20 200469

About Fadia Haddad

Fadia Haddad is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, Rehabilitation and Surgery, having authored 97 papers that have together received 3.7k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (34 papers), Exercise and Physiological Responses (16 papers), Adipose Tissue and Metabolism (11 papers), Muscle metabolism and nutrition (10 papers), RNA Research and Splicing (10 papers), Cardiomyopathy and Myosin Studies (7 papers), Muscle activation and electromyography studies (6 papers) and Cardiac, Anesthesia and Surgical Outcomes (5 papers). The work is most often cited by research in Rehabilitation (520 citations), Cell Biology (674 citations), Physiology (926 citations), Orthopedics and Sports Medicine (302 citations) and Molecular Biology (2.0k citations). Fadia Haddad has collaborated with scholars based in United States, Lebanon and France. Frequent co-authors include Kenneth M. Baldwin, Gregory R. Adams, Anqi Qin, Vincent J. Caiozzo, Julia M. Giger, P. W. Bodell, Shlomit Radom‐Aizik, Clay E. Pandorf, Alexandre Yazigi and Frank Zaldivar. Their work appears in journals such as Journal of Applied Physiology, Journal of Cardiothoracic and Vascular Anesthesia, American Journal of Physiology-Cell Physiology, Medicine & Science in Sports & Exercise and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

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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