Maha M. Hammad

984 citations
32 papers · 622 · h-index 14

Impact in

Papers in

Maha M. Hammad

31 papers receiving 614 citations

Peers

Maha M. Hammad
Comparison fields: 5 of 79
  • Behavioral Neuroscience 24
  • Infectious Diseases 100
  • Endocrine and Autonomic Systems 32
  • Physiology 122
  • Rehabilitation 29
Replace Ricardo Márquez-Velasco with:
Ricardo Márquez-Velasco Mexico
Amy Pan United States
Satomi Hashimoto Japan
Sonja Valentić Croatia
András Balogh Germany
Jun Fan China
Cristina de Álvaro Spain
Saeed Al Mahri Saudi Arabia
Neil Portwood Sweden
Jenny D. Jokinen United States
Maha M. Hammad relative to Ricardo Márquez-Velasco Mexico Ricardo Márquez-Velasco's profile →
Citations per field
00.5×3.2×
Ricardo Márquez-Velasco · 1×
Citations per year

Countries citing papers authored by Maha M. Hammad

Since Specialization
Citations

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

Fields of papers citing papers by Maha M. Hammad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201375
2 202161
3 201354
4 201446
5 202142
6 201841
7 202038
8 201036
9 202032
10 202325
11 202020
12 201214
13 201914
14 202013
15 201012
16 202110
17 20229
18 20169
19 20129
20 20228

About Maha M. Hammad

Maha M. Hammad is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, Cell Biology and Endocrine and Autonomic Systems, having authored 32 papers that have together received 622 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (7 papers), Adipose Tissue and Metabolism (5 papers), Lipid metabolism and disorders (5 papers), Stress Responses and Cortisol (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Heat shock proteins research (3 papers), Regulation of Appetite and Obesity (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Behavioral Neuroscience (24 citations), Infectious Diseases (100 citations), Endocrine and Autonomic Systems (32 citations), Physiology (122 citations) and Rehabilitation (29 citations). Maha M. Hammad has collaborated with scholars based in Kuwait, Canada and Saudi Arabia. Frequent co-authors include Jehad Abubaker, Mohamed Abu‐Farha, Fahd Al‐Mulla, Preethi Cherian, Sina Kavalakatt, Abdelkrim Khadir, Ali Tiss, Denis J. Dupré, Irina Al‐Khairi and Thangavel Alphonse Thanaraj. Their work appears in journals such as Frontiers in Endocrinology, PLoS ONE, Nutrients, Cellular Signalling and Scientific Reports.

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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