Khalil Mallah

764 citations
23 papers · 490 · h-index 14

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 3
    • S100 Proteins and Annexins 3
    • Neuroinflammation and Neurodegeneration Mechanisms 7
    • Traumatic Brain Injury and Neurovascular Disturbances 7
    • Intracerebral and Subarachnoid Hemorrhage Research 4

Khalil Mallah

21 papers receiving 486 citations

Peers

Khalil Mallah
Comparison fields: 5 of 84
  • Neurology 118
  • Neurology 116
  • Biological Psychiatry 15
  • Obstetrics and Gynecology 46
  • Developmental Neuroscience 23
Replace Ganna Shevchenko with:
Ganna Shevchenko Sweden
Tinka Tuinstra Netherlands
Gelareh Abulwerdi United States
Bérenger Largeau France
Talin Gulesserian Austria
Tora Sund Morken Norway
Pampa Saha United States
Hameed Al‐Sarraf Kuwait
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Citations per field
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Citations per year

Countries citing papers authored by Khalil Mallah

Since Specialization
Citations

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

Fields of papers citing papers by Khalil Mallah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202072
2 201852
3 199748
4 202143
5 201934
6 202133
7 201627
8 202025
9 201924
10 202022
11 201721
12 202218
13 201815
14 202113
15 202112
16 202310
17 202210
18 20237
19 20212
20 20251

About Khalil Mallah

Khalil Mallah is a scholar working on Molecular Biology, Neurology, Neurology, Pediatrics, Perinatology and Child Health and Immunology, having authored 23 papers that have together received 490 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers), Neonatal and fetal brain pathology (5 papers), Intracerebral and Subarachnoid Hemorrhage Research (4 papers), Metabolism and Genetic Disorders (3 papers), Complement system in diseases (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and S100 Proteins and Annexins (3 papers). The work is most often cited by research in Neurology (118 citations), Neurology (116 citations), Biological Psychiatry (15 citations), Obstetrics and Gynecology (46 citations) and Developmental Neuroscience (23 citations). Khalil Mallah has collaborated with scholars based in United States, Lebanon and France. Frequent co-authors include Stephen Tomlinson, Christine Couch, Davis Borucki, Mohammed Alshareef, Firas Kobeissy, Michel Salzet, Kazem Zibara, Isabelle Fournier, Jusal Quanico and Hassib Narchı. Their work appears in journals such as Analytical Chemistry, Molecular & Cellular Proteomics, Frontiers in Immunology, International Journal of Molecular Sciences and Electrophoresis.

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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