Fadia Haddad

93 papers receiving 3.5k citations

Peers

Fadia Haddad
Comparison fields: 5 of 130
  • Rehabilitation 604
  • Cell Biology 759
  • Physiology 1.1k
  • Orthopedics and Sports Medicine 347
  • Molecular Biology 2.1k
Replace F. Haddad with:
F. Haddad United States
Kenneth M. Baldwin United States
Julien Ochala United Kingdom
Yoshinobu Ohira Japan
Robert J. Talmadge United States
Elisa Calabria Italy
Susan C. Kandarian United States
Anselmo Sigari Moriscot Brazil
K. M. Baldwin United States
Ugo Carraro Italy
Fadia Haddad relative to F. Haddad United States F. Haddad's profile →
Citations per field
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F. Haddad · 1×
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 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001259
2 1999181
3 2002156
4 2005148
5 2003145
6 2002135
7 2005127
8 2013123
9 2002108
10 200497
11 200694
12 200791
13 200491
14 200389
15 200284
16 201481
17 200980
18 201374
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 94 papers that have together received 3.6k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (34 papers), Exercise and Physiological Responses (16 papers), Adipose Tissue and Metabolism (12 papers), RNA Research and Splicing (11 papers), Cardiac, Anesthesia and Surgical Outcomes (11 papers), Muscle metabolism and nutrition (11 papers), Cardiomyopathy and Myosin Studies (7 papers) and Muscle activation and electromyography studies (6 papers). The work is most often cited by research in Rehabilitation (604 citations), Cell Biology (759 citations), Physiology (1.1k citations), Orthopedics and Sports Medicine (347 citations) and Molecular Biology (2.1k 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, Frank Zaldivar and Alexandre Yazigi. Their work appears in journals such as Journal of Applied Physiology, Journal of Cardiothoracic and Vascular Anesthesia, American Journal of Physiology-Cell Physiology, Muscle & Nerve 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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